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Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 1017387 David Langer
What is data science In telugu  - డేటా సైన్స్ అంటే ఏమిటి -9059868766 Artificial intelligence AI Demo
 
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data science training python videos, datacamp data science python, intro to python for data science course by datacamp, python data science course, python data science tutorial, python for data science book, python for data science pdf, python training videos, youtube python data science, What is data science In telugu - డేటా సైన్స్ అంటే ఏమిటి Download data science content Pdf https://goo.gl/JN6iGs http://www.sivaitsoft.com/data-science-online-training-kukatpally/ What is data science course? What is a data scientist? Who coined data science? What is big data analysis? Data Science course content vlrtraining 9059868766 Hyderabad https://goo.gl/JN6iGs DATA SCIENCE ONLINE TRAINING Data Science Online Training kukatpally Hyderabad provided by VLR Trainings. Data Science is that the study ofDATA SCIENCE Online training wherever data comes from, what it represents and the way it is became a valuable resource in the creation of business and IT ways. More info Wikipedia DATA SCIENTIST A data scientist is someone who is better at statistics than any software engineer and better at Software engineering than any statistician.” WHAT A DATA SCIENTIST DOES Most data scientists in the industry have advanced degrees and training in statistics, math, and computer science. Their experience is a vast horizon that also extends to data visualization, data mining, and information management. It is fairly common for them to have previous experience in infrastructure design, cloud computing, and data warehousing. SKILLS REQUIRED TO BECOME A DATA SCIENTIST Statistic and probability Algorithms Programming Languages (Java, Scala ,SQL, R, Phyton) Data mining Machine learning Who should go for this course? Fresher’s/Graduates Job Seekers Managers Data analysts Business analysts Operators End users Developers IT professionals Data science Course Duration and details Course Duration 90Days (3 months) Course Fees 27000Rs Only online training Note* Everyday session recordings are also available Venkat: 9059868766 Jio:7013158918 Email: [email protected] Address: Vlrtraining/Sivaitsoft PlotNo 126/b,2nd floor,Street Number 4, Addagutta Society, Jal Vayu Vihar,, Kukatpally, Hyderabad, Telangana 500085 Map Link https://goo.gl/maps/Nk9LziFjVXS2 Data science Course Content data science, data science and analytics, data science certification, data science course, data science degree, data science online, data science pdf,, data science skills, data science syllabus, data science tools, data scientist profile, data scientist skills, introduction to data science, learn data science, mathematics for data science, python data science, science data, scientific database, Download Pdf Data Science course content vlrtraining 9059868766 Hyderabad http://www.sivaitsoft.com/wp-content/uploads/2017/10/Data-Science-course-content-vlrtraining-9059868766-Hyderabad.pdf
Views: 26149 VLR Training
Data Analytics for Beginners | Introduction to Data Analytics | Data Analytics Tutorial
 
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Data Analytics for Beginners -Introduction to Data Analytics https://acadgild.com/big-data/data-analytics-training-certification?utm_campaign=enrol-data-analytics-beginners-THODdNXOjRw&utm_medium=VM&utm_source=youtube Hello and Welcome to data analytics tutorial conducted by ACADGILD. It’s an interactive online tutorial. Here are the topics covered in this training video: • Data Analysis and Interpretation • Why do I need an Analysis Plan? • Key components of a Data Analysis Plan • Analyzing and Interpreting Quantitative Data • Analyzing Survey Data • What is Business Analytics? • Application and Industry facts • Importance of Business analytics • Types of Analytics & examples • Data for Business Analytics • Understanding Data Types • Categorical Variables • Data Coding • Coding Systems • Coding, coding tip • Data Cleaning • Univariate Data Analysis • Statistics Describing a continuous variable distribution • Standard deviation • Distribution and percentiles • Analysis of categorical data • Observed Vs Expected Distribution • Identifying and solving business use cases • Recognizing, defining, structuring and analyzing the problem • Interpreting results and making the decision • Case Study Get started with Data Analytics with this tutorial. Happy Learning For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 269968 ACADGILD
Big data | Application | Analysis
 
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Big data is the field of data science. That treats the way for data to analysis, extraction, processing, storing, supplying chain management. Our website: http://pinctech.net/ https://pinctech.net/big-data-definition-application-pinctech/ Facebook https://www.facebook.com/Pinctechnology/ Twitter https://twitter.com/Pinctechnology Instagram https://www.instagram.com/Pinctechnol... Linkedin https://www.linkedin.com/in/pinctech/ Pinterest https://in.pinterest.com/pinctechnology/ Blogger http://pinctechiot.blogspot.com/ Youtube channel link https://youtube.com/channel/UCkkktJWLqHfedf4Bw0FIy2g Our other videos Machine Learning https://youtu.be/8_trTQ_kZSQ Artificial Intellignece https://youtu.be/4wg0YlRMZLc Internet of things https://youtu.be/wVPDpYw6dQE Augment and virtual reality https://youtu.be/Ahg2fEVxgms CLoud Computing https://youtu.be/8YFnxw74P3w Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques. Big Data Applications: Healthcare Big data used in CT scan, panoramic x-ray, radiography, dental, spine surgery. X-ray camera collect row data come from the human body’s radiation. Store it and processed. Image processing algorithms run in the scanner. This row data contains only 2D information but by rotating the scanner in 360 degrees on all X, Y, Z directions 3D globe is created. On this globe edge detection filter applied. Edge detection filter removes all unnecessary files which are captured during the scanning. And this data is displayed to the monitor scream of the doctor. And the doctor performs diagnostics. Big Data Applications: Manufacturing, In manufacturing defects big data used to detect defective piece. Set of data is saved on the server. AI camera detects the defects in the products. Prepare the sketch. Compare this sketch with the non-defective sketch. If sketch looks good, then it just passes but if the sketch is not meet the required criteria then it discards and check for the next one. Big data application: in weather pattern generation, Big data used to generate the earth weather pattern. Temperature, precipitation, cloud cover, wind, tropical storm etc can be calculated by the previous pattern. Most of the season has a unique weather pattern like in summer we fill hot, in winter we feel the child, in monsoon we feel the rain. On the same way, the different geologic area has a different geologic pattern. According to previous years pattern, we can calculate the pattern of the current year on the next upcoming year. The unique geography of the Arctic leads to unique weather patterns that reappear in the region year after year. Some weather patterns, such as cyclones or anticyclones, occur in the Arctic as well as other regions. #Pinctech #Bigdata #Bigdataanalysis #Bigdataexamples #bigdataanalytics #charactricsofbigdata can big data predict the future what can big data do how big data can influence decisions how to do big data analysis how to do big data analytics a importancia do big data no mercado a era do big data does big data bring big rewards how does big data work how does big data analytics work where does big data come from what does big data mean how big data works how big data is changing the world how big data is used how big data could transform the healthcare industry how big data is used in amazon how big data analytics works how big data can influence decisions that actually matter how big data help in marketing how big data is used in facebook is big data getting too big is big data killing creativity what is data analytics, big data tools, big data examples, what is big data technology, big data analytics courses, big data analytics tools, big data ppt, big data analytics pdf, data analytics examples, big data analytics jobs, big data analytics tutorial, big data analytics salary, big data analytics examples, big data analytics ppt, data science and big data analytics pdf, big data analytics types, big data analytics tools open source, big data analytics tools and techniques, skills required for big data analytics, prerequisites for learning big data hadoop, big data analytics quora, big data analytics tools comparison, big data analytics tools pdf, big data skills 2018, big data analytics tools tableau, what is data analytics, what is big data, how big is big data, big data applications in healthcare, big data applications pdf, big data applications ppt, big data tutorial, what is big data analytics, big data examples, big data pdf, characteristics of big data, what is big data concept, what is big data and hadoop, how big is big data,
Views: 50 Pinc Tech
What is Big Data ? Introduction to BIG DATA: Types, Characteristics & Benefits - Technical knowledge
 
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#StudyIQ Pendrive Courses for Various Govt. Exams, Click here http://bit.ly/2QcdLOd to know in detail OR Call 95-8004-8004 UPSC/CSE - This is our Flagship & Most Selling Course. This course covered Length & Breadth of UPSC vast syllabus and made by Elite & Very best faculties from all over India with StudyIQ Trust. Click here http://bit.ly/2QbHfM7 to watch Demo Videos, Course Content, Authors, Etc. SSC & Bank - This is our oldest Course, made by Founders of StudyIQ. 1000+ videos so far and new videos added every week. Click here http://bit.ly/2QaG3ZE to know more. UPSC Optionals - We have covered almost all major UPSC Optionals. Click here http://bit.ly/2QqTKUU to find yours State Exams PSCs - Currently we have 18 States covered, More to come, Choose your state. Click http://bit.ly/2Qgv6G0 to watch demo videos, know about authors and all. Defense Exams - CDS, NDA, CAPF, SSB, AFCAT, Airforce. Click here http://bit.ly/2zT8MbP to get into the Army, Navy or Airforce SSC JE Exams - Civil, Mechanical, Electrical, Electronics. Click here http://bit.ly/2G8eDQ0 to know more RBI Grade B - Grade B is the most popular Job after IAS. This course made by well-experienced faculties of Study IQ. Click here http://bit.ly/2DAtlwm to watch demo videos, Authors, Course content. NTA NET - Start your preparation for UGC(NTA) NET prestigious exam. We have courses for both Paper 1 & 2. Click here http://bit.ly/2HnhFNQ to check UPSC Prelim Test Series - Our flagship test series for UPSC Prelims. More than 60% Sucess rate in 2018. Click here http://bit.ly/2Ea4Rtx to enroll right now DMRC Exams - Courses for Delhi Metro Technical & Non-Technical Exams. Click here http://bit.ly/2Q4cFS8 to know more Insurance Exams - LIC, NICL, and other insurance exams. Click here http://bit.ly/2VpbXjE to know more Law Exams - Find courses for Undergraduate and Judiciary Exams. Click here http://bit.ly/2Jk4G31 to check Railway Jobs - More than 1.5 Lac jobs to come this year. Start your preparation with us for Tech or Non-Tech posts. Click here http://bit.ly/2Ti5NB6 to check the available courses Teaching Jobs - CTET, DSSSB. Click here http://bit.ly/30oBgWP to know more NABARD Grade A - https://goo.gl/C6CzAL Have a doubt? Click here http://bit.ly/2qWhdOI to start instant Chat with our Sale team or you can #Call_9580048004 _____________________________________________________________________ Click here http://bit.ly/2V5GN0h to Sponsor Study IQ UPSCIQ Magazine - http://bit.ly/2DH1ZWq || Bank IQ Magazine - http://bit.ly/2QxyNmJ Daily Current Affairs - http://bit.ly/2t68FG1 Follow us on Instagram - http://bit.ly/2K0uXEH Download All Videos PDFs - https://goo.gl/X8UMwF || Join StudyIQ on Telegram - https://goo.gl/xBR3g8 Monthly Current Affairs - http://bit.ly/2GtcCuP Topic Wise Current Affairs - http://bit.ly/2VHxiZw Free PDFs - https://goo.gl/cJufZc || Free Quiz - https://goo.gl/wCxZsy || Free Video Courses - https://goo.gl/jtMKP9" Follow us on Facebook - https://goo.gl/iAhPDJ Telegram - https://t.me/Studyiqeducation The Hindu Editorial Analysis - https://goo.gl/vmvHjG Current Affairs by Dr Gaurav Garg - https://goo.gl/bqfkXe UPSC/IAS Burning Issues analysis- https://goo.gl/2NG7vP World History for UPSC - https://goo.gl/J7DLXv Indian History - https://goo.gl/kVwB79 Follow us on Facebook - https://goo.gl/iAhPDJ Follow Dr Gaurav Garg on Facebook - https://goo.gl/xqLaQm UPSC/IAS past papers questions - https://goo.gl/F5gyWH SSC CGL + IBPS Quantitative tricks - https://goo.gl/C6d9n8 English Vocabulary - https://goo.gl/G9e04H Reasoning tricks for Bank PO + SSC CGL- https://goo.gl/a68WRN Error spotting / Sentence correction https://goo.gl/6RbdjC Static GK complete- https://goo.gl/kB0uAo Complete GK + Current Affairs for all exams- https://goo.gl/MKEoLy World History - UPSC / IAS - https://goo.gl/kwU9jC Learn English for SSC CGL, Bank PO https://goo.gl/MoL2it Science and Technology for UPSC/IAS - https://goo.gl/Jm4h8j Philosophy for UPSC/IAS - https://goo.gl/FH9p3n Yojana Magazine analysis -https://goo.gl/8oK1gy History for SSC CGL + Railways NTPC - https://goo.gl/7939eV
Views: 29188 Study IQ education
Big-O notation in 5 minutes — The basics
 
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Introduction to big-O notation. Sources: 1/ Algorithms by Dasgupta, Papadimitriou & Vazirani [https://code.google.com/p/eclipselu/downloads/detail?name=algorithms.pdf] 2/ http://pages.cs.wisc.edu/~paton/readings/Complexity/#bigO 3/ http://bigocheatsheet.com/ LinkedIn: https://www.linkedin.com/in/michael-sambol-076471ba
Views: 165755 Michael Sambol
Big Data Where to Start |  Data Analytics Skill Map | Quick Learning
 
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#CareerInDataAnalytics #CareerInDataScience #CareerInBigData #CloudEngineer #DataAnalytics Career transformation guide for professionals who want to step into Big Data. Knowing how your current skills are mapped to Big Data suite, helps you in selecting the right technology to start with. References mentioned in the video: Data Engineering Hadoop: https://www.cloudera.com/developers/get-started-with-hadoop-tutorial.html Book: Hadoop The Definitive Guide, Tom White HDFS: https://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf Hive: Programming Hive - Jason, Dean, Edward https://www.cloudera.com/developers/get-started-with-hadoop-tutorial/exercise-1.html HBase: https://research.google.com/archive/bigtable-osdi06.pdf https://hbase.apache.org/apache_hbase_reference_guide.pdf Map Reduce: https://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf https://hadoop.apache.org/docs/stable/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html Spark: https://spark.apache.org/docs/latest/quick-start.html Book: Spark The Definitive Guide, Bill Chambers & Matei Zaharia Kafka: https://docs.confluent.io/current/quickstart/index.html Book: Kafka The Definitive Guide – Neha, Gwenn & Todd Zeppelin: https://hortonworks.com/tutorial/getting-started-with-apache-zeppelin/ https://zeppelin.apache.org/docs/0.5.0-incubating/displaysystem/angular.html Data Science Machine Learning Models https://www.geeksforgeeks.org/machine-learning/ https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN NLP https://nlp.stanford.edu/pubs/StanfordCoreNlp2014.pdf https://nlp.stanford.edu/manning/ SparkR https://spark.apache.org/docs/latest/sparkr.html https://hortonworks.com/tutorial/advanced-analytics-with-sparkr-in-rstudio/ SparkML https://docs.databricks.com/spark/latest/sparkr/tutorials/index.html https://spark.apache.org/docs/1.2.2/ml-guide.html GraphX https://www.datacamp.com/community/tutorials/social-network-analysis-python https://spark.apache.org/graphx/ Giraph http://giraph.apache.org/quick_start.html https://researcher.watson.ibm.com/researcher/files/us-heq/Large%20Scale%20Graph%20Processing%20with%20Apache%20Giraph.pdf Cloud Engineering Kerberos: https://www.kerberos.org/software/tutorial.html Ambari, Knox, Ranger: https://hortonworks.com/tutorials/ https://hortonworks.com/apache/ambari/ https://hortonworks.com/apache/knox-gateway/ https://hortonworks.com/apache/ranger/ Yarn https://data-flair.training/blogs/hadoop-yarn-tutorial/ Book: YARN Moving Beyond MapReduce and Batch Processing - Arun, Vinod, Doug, Joseph & Jeff Zookeeper https://data-flair.training/blogs/zookeeper-tutorial/ Book: Zookeeper Distributed Process Coordination - Flavio Junqueira & Benjamin Reed -- Created using Powtoon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 436 Speak To The Point
[ENG] Big data with Azure | What is Big Data? Basics
 
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[PDF Link Included] Hi, in this video we are going to learn about big data and microsoft certification course on big data! Topics we are going to cover What is big data? Why you should care about big data? Big data and small business? Future of Big data Big data and your career Big data and Azure Azure certification exams Find me on facebook https://www.facebook.com/iwpiww/ Find me on twitter https://twitter.com/seth_avinash Join Visionard Academy on facebook https://www.facebook.com/groups/visionard.academy/ Subscribe me on youtube https://www.youtube.com/c/avinashsethwpnww?sub_confirmation=1 Download pdf https://visionard.com/files/big-data-with-azure-visionard.pdf
Views: 109 Avinash Seth
Learn Data Science in 3 Months
 
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I've created a 3 month curriculum to help you go from absolute beginner to proficient in the art of data science! This open source curriculum consists of purely free resources that I’ve compiled from across the Web and has no prerequisites, you don’t even have to have coded before. I’ve designed it for anyone who wants to improve their skills and find paid work ASAP, ether through a full-time position or contract work. You’ll be learning a host of tools like SQL, Python, Hadoop, and even data storytelling, all of which make up the complete data science pipeline. Curriculum for this video: https://github.com/llSourcell/Learn_Data_Science_in_3_Months Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Week 1 - Learn Python - EdX https://www.edx.org/course/introduction-python-data-science-2 - Siraj Raval https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU Week 2 - Statistics & Probability - KhanAcademy https://www.khanacademy.org/math/statistics-probability Week 3 - Data Pre-processing, Data Vis, Exploratory Data Analysis - EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis Week 4 - Kaggle Project #1 Week 5-6 - Algorithms & Machine Learning - Columbia https://courses.edx.org/courses/course-v1:ColumbiaX+DS102X+2T2018/course/ Week 7 - Deep Learning - Part 1 and 2 of DL Book https://www.deeplearningbook.org/ - Siraj Raval https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3 Week 8 - Kaggle Project #2 Week 9 - Databases (SQL + NoSQL) - Udacity https://www.udacity.com/course/intro-to-relational-databases--ud197 - EdX https://www.edx.org/course/introduction-to-nosql-data-solutions-2 Week 10 - Hadoop & Map Reduce + Spark - Udacity https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617 - Spark Workshop https://stanford.edu/~rezab/sparkclass/slides/itas_workshop.pdf Week 11 - Data Storytelling - Edx https://www.edx.org/course/analytics-storytelling-impact-1 Week 12- Kaggle Project #3 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hiring? Need a Job? See our job board!: www.theschool.ai/jobs/ Need help on a project? See our consulting group: www.theschool.ai/consulting-group/ Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 301795 Siraj Raval
Data Science In 5 Minutes | Data Science For Beginners | What Is Data Science? | Simplilearn
 
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This Data Science tutorial video will give you an idea on the life of a Data Scientist, steps involved in Data science project, roles & salary offered to a Data Scientist. Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data Science is basically dealing with unstructured and structured data. Data Science is a field that comprises of everything that is related to data cleansing, preparation, and analysis. In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data. Now, let us get started and understand what is Data Science all about. Below topics are explained in this Data Science tutorial: 1. Life of a Data Scientist 2. Steps in Data Science project - Understanding the business problem - Data acquisition - Data preparation - Exploratory data analysis - Data modeling - Visualization and communication - Deploy & maintenance 3. Roles offered to a Data Scientist 4. Salary of a Data Scientist To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Read the full article here: https://www.simplilearn.com/career-in-data-science-ultimate-guide-article?utm_campaign=What-is-Data-Science-bTTxei-S1WI&utm_medium=Tutorials&utm_source=youtube Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course. Why learn Data Science? Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data. You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to: 1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics. Install the required Python environment and other auxiliary tools and libraries 2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions 3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave 4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package 5. Gain expertise in machine learning using the Scikit-Learn package The Data Science with python is recommended for: 1. Analytics professionals who want to work with Python 2. Software professionals looking to get into the field of analytics 3. IT professionals interested in pursuing a career in analytics 4. Graduates looking to build a career in analytics and data science 5. Experienced professionals who would like to harness data science in their fields Learn more at: https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=What-is-Data-Science-X3paOmcrTjQ&utm_medium=Tutorials&utm_source=youtube For more information about Simplilearn’s courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simp... - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 293512 Simplilearn
Lecture: Mathematics of Big Data and Machine Learning
 
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MIT RES.LL-005 D4M: Signal Processing on Databases, Fall 2012 View the complete course: https://ocw.mit.edu/RESLL-005F12 Instructor: Jeremy Kepner Jeremy Kepner talked about his newly released book, "Mathematics of Big Data," which serves as the motivational material for the D4M course. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Views: 109091 MIT OpenCourseWare
Spark Tutorial For Beginners | Big Data Spark Tutorial | Apache Spark Tutorial | Simplilearn
 
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This Spark Tutorial For Beginner will give an overview on history of spark, Batch vs real-time processing, Limitations of MapReduce in Hadoop, Introduction to Spark, Components of Spark Project and a comparision between Hadoop ecosystem and Spark. This Spark Tutorial will explain: 1. History of Spark 2. Introduction to Spark 3. Spark Components 4. Spark Advantages Apache Spark is an open-source cluster-computing framework. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Bigdata-Spark-QaoJNXW6SQo&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Bigdata-Spark-QaoJNXW6SQo&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 91316 Simplilearn
Data Science and Big Data Analytics | Data Science Training | Mr. Navin
 
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Data Science Tutorials | Training | Mr. Navin ** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999 Subscribe to our channel and hit the bell 🔔🔔🔔 icon to get video updates. 💡 Visit Our Websites For Classroom Training: https://nareshit.in/data-science-training/ For Online Training: https://nareshit.com/data-science-online-training/ #DataScience #Tutorials #Training #Videos -------------------------- 💡 About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations -------------------------- 💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session. -------------------------- 💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999 -------------------------- 💡 Check The Below Links ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/+NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitek ► Follow us on Linkedin: https://goo.gl/CRBZ5F ► Follow us on Instagram: https://goo.gl/3UXYK3
Views: 77312 Naresh i Technologies
Data Analysis in SPSS Made Easy
 
14:06
Use simple data analysis techniques in SPSS to analyze survey questions.
Views: 856690 Claus Ebster
BIG DATA PRESENTATION
 
11:05
For Info Resources Class
Views: 19115 Carl Peterson
Convert PDF to Text in Hadoop/BigData
 
09:30
Process complex data type in Hadoop. Convert millions of PDF files into text file in Hadoop Ecosystem.
Views: 1515 Vijay Garg
Data Mining Lecture - - Data Analytics life cycle (Eng-Hindi)
 
06:40
Business Intelligence Big data issues are solved using data analytics life cycle The key roles of data analytics are explained -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~-
Views: 22692 Well Academy
SAS Tutorials For Beginners | SAS Training | SAS Tutorial For Data Analysis | Edureka
 
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This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same! In this SAS Tutorial video you will understand: 1) Why Data Analytics? 2) What is Data Analytics? 3) Data Science Analytics Tools 4) Why SAS? 5) What is SAS? 6) What SAS Solves? 7) Components of SAS 8) How can we practice Base SAS? 9) Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete SAS Training playlist here: https://goo.gl/MMLyuN #SASTraining #SASTutorial #SASCertification How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros. - - - - - - - - - - - - - - Why Learn SAS? The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts. SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively. - - - - - - - - - - - - - - Who should go for this course? This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for: 1. Analytics professionals who are keen to migrate to advanced analytics 2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist 3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics 4. Testing professionals to move towards creative aspects of data analytics 5. Mainframe professionals 6. Software developers and architects 7. Graduates aiming to build a career in Big Data as a foundational step Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/sas-training Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"
Views: 54938 edureka!
Harness Oil and Gas Big  Keith Holdaway PDF
 
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Download : http://bit.ly/1ocKOwb Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models (Wiley and SAS Business Series) by Keith Holdaway pdf Description Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages
Views: 278 Lori Gonzales
Web content filtering and log data analysis with Mikrotik routers
 
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Web content filtering and log data analysis with Mikrotik routers, Paul Greeff (LucidView, South Africa). Web content filtering on Mikrotik routers is often performed using either layer 7 filtering, DNS filtering or a combination of both. Both have their advantages and disadvantages. We'll explore both and show how they can be implemented on a Mikrotik router and then introduce LucidView's Big Data analysis offering as an additional option. Log data analysis is usually performed on Netflow traffic flows exported to a log analyzer. Free and paid for options are available on the Internet. We explore some options available to Mikrotik router users and how to configure the Mikrotik router to export data to a log analyzer. We also introduce LucidView's solution to the above and how it is different and then demonstrate how to script the Mikrotik to perform content filtering, firewall blocking and Big Data log analysis on the LucidView's cloud portal.. PDF: https:https://mum.mikrotik.com/presentations/TR18/presentation_6167_1539848033.pdf.
Views: 637 MikroTik
Introduction To Big Data - Part 1
 
04:11:04
This is part 1 of the webinar held on 9th February, 2017. Following are some PDFs that were shared for better, easier understanding for the audience. • Google Architecture.pdf • Google ContentID • Introduction to Big Data.pdf • Introduction to Linux - A Hands on Guide.pdf • Introduction to Linux.pdf • Setting up a HADOOP Cluster on CentOS6.pdf
Views: 62 Manish Chopra
Microsoft Power Tools for Data Analysis: Dashboards & Reports. Class Introduction Video. MSPTDA #01.
 
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Download Excel File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/Intro/001-MSPTDA-IntroToClass.xlsx Download pdf Notes: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/Intro/001-MSPTDA-IntroToClass.pdf This video introduces the topics that will be covered in this Highline College BI 348 Class: Name of Class: BI 348 – Microsoft Power Tools for Data Analysis: • Power Query • Power Pivot • DAX • Power BI Desktop • Excel For Creating: • Data Models, Reports, Dashboards and Analytics Taught by Mike excelisfun Girvin, Excel MVP 2013-2018 • A class about connecting to multiple source of data, transforming the data into a refreshable & dynamic data model, and building reports and dashboards to provide insightful and actionable information. Prerequisites for this class: • Busn 216: Excel Basics, https://www.youtube.com/playlist?list=PLrRPvpgDmw0n34OMHeS94epMaX_Y8Tu1k • Busn 218: Advanced Excel, https://www.youtube.com/playlist?list=PLrRPvpgDmw0lcTfXZV1AYEkeslJJcWNKw • Busn 210: Business Statistics, https://www.youtube.com/playlist?list=PLrRPvpgDmw0ngx_uPhvasTbOWLOztsaBj What Version of Excel: • Office 365 (updated each month) What Version of Power BI Desktop: • Free Tool we will download (update each month) Over View of Topics for the class: 1. Data Analysis / Business Intelligence terms and concepts that we will learn in this class: • Proper Data Set • Fact Table • Dimension Tables • Relationships • Star Schema • ETL • Measures • Dashboards • SQL • Data Warehousing   2. Learn how to use Excel Power Query: • Import Data from multiple sources • Clean and Transform Data • Create Data Components for Star Schema Data Models • Load Data To Excel, the Data Model and Connection Only • Replace Complicated Excel Solutions with Power Query Solution • Use the Power query User Interface to create Power Query Solutions • Learn about the Case Sensitive, Function-based M Code Language that is behind the scenes in Power Query 3. Learn how to use Excel Power Pivot: • Excel Power Pivot provides: i. Data Model where we can have multiple tables, formulas and relationships (Star Schema) ii. Columnar Database to hold "Big Data" and process quickly over that "Big Data" iii. New Formula Language called DAX: 1. Many More Calculations than in Standard PivotTable 2. Build One Formula that can work in many reports 3. Add Number Formatting to Formulas • Excel Power Pivot to: i. Replace VLOOKUP Formulas and Single Flat PivotTable Data Source with Multiple Tables, Relationships in the Data Model to create more efficient Reports & Dashboards ii. Use Power Pivot Columnar Database to hold millions of rows of data iii. DAX formulas have more Power than Standard PivotTable Calculations 4. Learn about Building Star Schema Data Models: a. Why they are important in Power Pivot and Power BI Desktop b. How to build them using: i. Power Query ii. Power Pivot iii. DAX iv. Power BI Desktop 5. Learn how to author DAX Formulas for Excel’s Power Pivot & Power BI Desktop: a. Calculated Column Formulas for Data Model b. Measure Formulas for PivotTables c. DAX Functions like SUMX, CALCULATE, RELATED, and Much More… d. Lean why we must create Explicit rather than Implicit formulas e. Learn how Row Context works in formulas f. Learn how Filter Context works in formulas g. Learn about Scalar & Table Functions h. Use DAX Studio to visualize and analyze DAX Formulas 6. Learn how to use Power BI Desktop: a. Power Query to import, clean, transform and create Star Schema Data Models b. Create Relationships c. Create DAX Formulas d. Build Interactive Visualizations e. Build Dashboards   7. Learn how to use Excel: • Spreadsheet Formulas & Functions • Standard PivotTables • Power Query • Power Pivot • Build Data Model PivotTables and the resultant Reports, Dashboards and Analytics 8. Building Refreshable, Insightful Dashboards a. Build Excel Dashboards b. Build Power BI Dashboards 9. Case Studies to practice using Power Pivot & Power BI Desktop for Reporting, Building Dashboards and Building Business Analytics Solutions The Power Query logo used in this video is copyright of and used with the express permission of https://powerquery.training Thanks to Ken Puls and Miguel Escobar for letting me use their logo!!!!
Views: 33152 ExcelIsFun
Interview with a Data Scientist
 
02:54
This video is part of the Udacity course "Intro to Programming". Watch the full course at https://www.udacity.com/course/ud000
Views: 301046 Udacity
How Big Data Is Used In Amazon Recommendation Systems | Big Data Application & Example | Simplilearn
 
02:40
This Big Data Video will help you understand how Amazon is using Big Data is ued in their recommendation syatems. You will understand the importance of Big Data using case study. Recommendation systems have impacted or even redefined our lives in many ways. One example of this impact is how our online shopping experience is being redefined. As we browse through products, the Recommendation system offer recommendations of products we might be interested in. Regardless of the perspectives, business or consumer, Recommendation systems have been immensely beneficial. And big data is the driving force behind Recommendation systems. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 31824 Simplilearn
Big Data at Work The Data Science Revolution and Organizational Psychology Pdf
 
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Big Data at Work The Data Science Revolution and Organizational Psychology by Scott Tonidandel Pdf. Get Yours Soon : http://medibookbank.com/pdf
Views: 46 Hero
BIGDATA in TELUGU
 
09:36
Follow us on https://t.me/Learnerspage Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. BIGDATA in TELUGU https://youtu.be/jdPhsYZU_5E?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. Data science & Big data in Telugu https://youtu.be/5XQ3lmPVV8M?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to Knowledge Discovery in Databases (KDD). Tableau in Telugu https://youtu.be/iPvwRyeAGYA?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Within these data are huge, unparalleled opportunities for human advancement. But to turn opportunities into reality, people need the power of data at their fingertips. Tableau is building software to deliver exactly that. Big Data Tool R Installation in Telugu https://youtu.be/hdTLyC-KL_I?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX https://cran.r-project.org/bin/windows/base/ https://www.rstudio.com/products/rstudio/download/ R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Tableau in Telugu:How to Creat Groups in Charts https://youtu.be/i1z1lGJvQQU?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Data Warehouse in Telugu https://youtu.be/xFLE1_V7u6M Business Intelligence is a technology based on customer and profit-oriented models that reduce operating costs and provide increased profitability by improving productivity, sales, service and helps to make decision-making capabilities at no time. Business Intelligence Models are based on multidimensional analysis and key performance indicators (KPI) of an enterprise R Programming in Telugu:How to Write CVS files and Extract Data from data.[Lesson-3] https://youtu.be/oeh9fyru9-o?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX This video is about: How to write CSV file in R . How to remove the columns from data set or data frame in R R Programming Tutorial in Telugu: How to Read data in R [Lesson2] https://youtu.be/CL0RG4NTuq4?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX In This R Tutorial you will find clear way, how to read the CVS files in R Studio. How to use commands SETWD(), READ.CSV(), HEAD(), TAIL(),VIEW() FETCH DATA FROM SQL TO EXCEL https://youtu.be/IqukX_hKEnE?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Tableau in Telugu: Tableau Colors https://youtu.be/fHvg0irp1ds?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Pareto Chart Analysis https://youtu.be/TPZaIX4S1TU Pareto Analysis is a statistical technique in decision-making used for the selection of a limited number of tasks that produce significant overall effect. It uses the Pareto Principle (also known as the 80/20 rule) the idea that by doing 20% of the work you can generate 80% of the benefit of doing the entire job. Population Pyramid Chart https://youtu.be/poWV5VsideI Download the file in below link https://drive.google.com/file/d/1eWu8zXxh1QRFQj4OJAkG_S7AuHIDqY04/view A population pyramid also called an "age pyramid" is a graphical illustration that shows the distribution of various age groups in a population
Views: 20247 Learners Page
Big Data and Marketing Analytics by Professor Jean-Pierre Dubé
 
58:27
Catch a preview of the new Chicago Booth Executive Education program, Big Data and Marketing Analytics, in this video featuring with Professor Jean-Pierre Dubè. Learn more and enroll. www.ChicagoBooth.edu/BDMA
Explaining Big Data
 
08:33
Big Data is the next big thing in computing. This video explains Big Data characteristics, technologies and opportunities. For more information, see http://www.explainingcomputers.com/big_data.html
Views: 724628 ExplainingComputers
Regression Analysis | Data Science Tutorial | Simplilearn
 
06:50
In statistical modeling, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). Data Science Certification Training - R Programming: https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training?utm_campaign=Regression-Data-Science-DtOYBxi4AIE&utm_medium=SC&utm_source=youtube #datascience #datasciencetutorial #datascienceforbeginners #datasciencewithr #datasciencetutorialforbeginners #datasciencecourse What are the course objectives? This course will enable you to: 1. Gain a foundational understanding of business analytics 2. Install R, R-studio, and workspace setup. You will also learn about the various R packages 3. Master the R programming and understand how various statements are executed in R 4. Gain an in-depth understanding of data structure used in R and learn to import/export data in R 5. Define, understand and use the various apply functions and DPLYP functions 6. Understand and use the various graphics in R for data visualization 7. Gain a basic understanding of the various statistical concepts 8. Understand and use hypothesis testing method to drive business decisions 9. Understand and use linear, non-linear regression models, and classification techniques for data analysis 10. Learn and use the various association rules and Apriori algorithm 11. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering Who should take this course? There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals: IT professionals looking for a career switch into data science and analytics Software developers looking for a career switch into data science and analytics Professionals working in data and business analytics Graduates looking to build a career in analytics and data science Anyone with a genuine interest in the data science field Experienced professionals who would like to harness data science in their fields Who should take this course? There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals: 1. IT professionals looking for a career switch into data science and analytics 2. Software developers looking for a career switch into data science and analytics 3. Professionals working in data and business analytics 4. Graduates looking to build a career in analytics and data science 5. Anyone with a genuine interest in the data science field 6. Experienced professionals who would like to harness data science in their fields For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 6495 Simplilearn
Data Analysis Presentation CAEG June 1 2017
 
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"Automating Complex Data Analysis" Presentation by John F. McGowan, Ph.D. for the Caltech Alumni Entrepreneurship Group (CAEG) on June 1, 2017 Automating Complex Data Analysis: A Disruptive Business Opportunity Complex data analysis is a multi-billion dollar business. Major data analysis tool makers alone report revenues totaling over $4 billion per year: SAS Institute ($3 Billion), IBM SPSS ($0.3-1.0 Billion), MathWorks ($800 Million), Wolfram Research (at least $40 million), and a number of less well known smaller firms. Medical businesses, financial firms, and science and engineering organizations spend billions of dollars per year on these tools and the salaries of the analysts, scientists, and engineers performing the analyses. Complex data analysis increasingly determines the approval of new drugs and medical treatments, medical treatment decisions for individual patients, investment decisions for banks, pensions, and individuals, important public policy decisions, and the design and development of products from airplanes and cars to smart watches and children’s toys. State-of-the-art complex data analysis is labor intensive, time consuming, and error prone — requiring highly skilled analysts, often Ph.D.’s or other highly educated professionals, using tools with large libraries of built-in statistical and data analytical methods and tests: Excel, MATLAB, the R statistical programming language and similar tools. Results often take months or even years to produce, are often difficult to reproduce, difficult to present convincingly to non-specialists, difficult to audit for regulatory compliance and investor due diligence, and sometimes simply wrong, especially where the data involves human subjects or human society. Many important problems in business and society remain unsolved despite modern computer-intensive data analysis methods. A widely cited report from the McKinsey management consulting firm suggests that the United States may face a shortage of 140,000 to 190,000 such human analysts by 2018: http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation Automating complex data analysis using Artificial Intelligence (AI) and similar technologies can substantially reduce the cost, time to completion, increase the quality, and yield results that are currently impossible. New tools that automate complex data analysis are a disruptive business opportunity. This talk discusses the current state-of-the-art in attempts to automate complex data analysis. It discusses widely used tools such as SAS, MATLAB and Excel and their current limitations. It discusses current products that attempt to automate complex data analysis from companies such as Skytree and research prototypes such as the Automatic Statistician from Cambridge University — funded in part by Google. It discusses what the automation of complex data analysis may look like in the future, possible methods of automating complex data analysis, and problems and pitfalls of automating complex data analysis. The talk will include a demonstration of a prototype system for automating complex data analysis. PDF of Slides: https://goo.gl/uOkocB A written version of my presentation is available online at: http://wordpress.jmcgowan.com/wp/wp-content/uploads/2017/06/Automating-Complex-Data-Analysis-White-Paper.pdf
Views: 132 John McGowan
What is Data Processing & Data Analysis & its Methods ? Urdu / Hindi
 
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This Video Give The Basic Concept of What is Data Processing (Data Analysis) And its Methods ? (Urdu / Hindi) ZPZ Education Channel Link: www.youtube.com/channel/UCwFzeQDf9cGm_ZeTXV_t5SA
Views: 9966 ZPZ Education
Big Data Analysis with ParaView | Dave DeMarle, Kitware, Inc.
 
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The slide deck for this presentation can be viewed here: http://extremecomputingtraining.anl.gov/files/2014/08/DeMarleUpdateDOE_paraview_course.pdf Presented at the Argonne Training Program on Extreme-Scale Computing, Summer 2014. For more information, visit: http://extremecomputingtraining.anl.gov/
Views: 1781 ANL Training
Data Analysis vs Data Analytics(Data Science) in Tamil
 
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Data Science is the combination of statistics, mathematics, programming, problem solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data. Complete Video Tamil - https://goo.gl/kaWumR Complete Video English - https://goo.gl/WJfPeq YouTube channel link www.youtube.com/atozknowledgevideos Website http://atozknowledge.com/ Technology in Tamil & English
Views: 12028 atoz knowledge
Big Data analysis Hadoop with Mapreduce, HIVE, PIG , Zookeeper and Spark class 9
 
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Big Data analysis Hadoop with Mapreduce, HIVE, PIG , Zookeeper and Spark class Phân tích dữ liệu lớn Hadoop với MapReduce, Hive, PIG, Zookeeper và lớp Spark Big Dataanalys Hadoop med MapReduce, bikupa, gris, Zookeeper och Spark klass Большой анализ данных Hadoop с MapReduce, энцефалопатии, свинка, Zookeeper и класса Спарк Mapreduce, HIVE, PIG, 사육사 및 Spark 클래스를 사용하는 빅 데이터 분석 하둡 Mapreduce、HIVE、PIG、Zookeeper、SparkクラスのBig Data解析Hadoop 大数据分析Hadoop与Mapreduce,HIVE,PIG,Zookeeper和Spark类 This module will cover Advanced HBase concepts. We will see demos on Bulk Loading , Filters. You will also learn what Zookeeper is all about, how it helps in monitoring a cluster, why HBase uses Zookeeper. usa keyword: big data analytics big data hadoop big data certification big data tutorial big data technologies big data ppt big data courses big data analytics tools big data tools big data analytics pdf big data big data university big data analytics courses big data and hadoop big data architecture big data applications big data analytics ppt hadoop tutorial hadoop training hadoop interview questions hadoop wiki hadoop architecture hadoop big data hadoop certification hadoop ecosystem hadoop download hadoop installation mapreduce tutorial mapreduce interview questions mapreduce architecture mapreduce example mapreduce hadoop mapreduce in mongodb mapreduce programming mapreduce tutorial pdf hive tutorial hive interview questions hive meaning in hindi hiveminds hive data types hives on skin hive commands hive architecture hive tutorial pdf pigeon spark tutorial
Views: 96 EpCo Technology
DATABLOCKCHAIN ICO REVIEW JUNE 2018 - BIGDATA ARTIFICIAL INTELLIGENCE BLOCKCHAIN
 
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https://www.dbc.io https://www.dbc.io/pdf/whitepaper.pdf
Views: 21667 SANEM AVCIL
Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at [email protected] or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge from data. Data Science is the integration of methods from mathematics, probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, visualization, uncertainty modelling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. This interdisciplinary and cross-functional field leads to decisions that move an organization forward in terms of proposed investment, decisions regarding a product or business strategy. Data Science is a buzzword, often used interchangeably with analytics or big data. At times, Analytics is synonymous with Data Science, but at times it represents something else. A Data Scientist using raw data to build a predictive behaviour model, falls in to the category of analytics. About the Data Science Course at edureka! - This Data Science course is designed to provide knowledge and skills to become a successful Data Scientist. The course covers a range of Hadoop, R and Machine Learning Techniques encompassing the complete Data Science study. Course Objectives After the completion of the Data science Course at Edureka, you should be able to: Gain an insight into the 'Roles' played by a Data Scientist. Analyse Big Data using Hadoop and R. Understand the Data Analysis Life Cycle. Use tools such as 'Sqoop' and 'Flume' for acquiring data in Hadoop Cluster. Acquire data with different file formats like JSON, XML, CSV and Binary. Learn tools and techniques for sampling and filtering data, and data transformation. Understand techniques of Natural Language Processing and Text Analysis. Statistically analyse and explore data using R. Create predictive using Hadoop Mappers and Reducers. Understand various Machine Learning Techniques and their implementation these using Apache Mahout. Gain insight into the visualisation and optimisation of data. Who should go for this course? This course is designed for all those who want to learn machine learning techniques and wish to apply these techniques on Big Data. The course is amalgamation of two powerful open source tools: 'R' language and Hadoop software framework. You will learn how to explore data quantitatively using tools like Sqoop and Flume, write Hadoop MapReduce Jobs, perform Text Analysis and implement Language Processing, learn Machine Learning techniques using Mahout, and optimize and visualize the results using programming language 'R' and Apache Mahout. This course is for you if you are: A SAS, SPSS Analytics Professional. A Hadoop Professional working on Database management and streaming of Big Data. An 'R' professional who wants to apply Statistical techniques on Big Data. A Statistician who wants to understand Data Science methodologies to implement the statistics methods and techniques on Big data. Any Business Analyst who is working on creating reports and dashboards. Pre-requisites Some of the prerequisites for learning Data Science are familiarity with Hadoop, Machine Learning and knowledge of R (recommended not mandatory as these concepts will also be covered during the course). Also, having a statistical background will be an added advantage. Why Learn Data Science? 'Data Science' is a term which came into popularity in past decade. Data Science is the process of extracting valuable insights from "data". It is the right time to learn Data science because: We are living in the Big Data Era, Data Science is becoming a very promising field to harness and process huge volumes of data generated from various sources. A data scientist has a dual role -- that of an "Analyst" as well as that of an "Artist"! Data scientists are very curious, who love large amount of data, and more than that, they love to play with such huge data to reach important inferences and spot trends. You could be one of them! As 'Data Science' is an emerging field, there is a plethora of opportunities available world across. Just browse through any of the job portals; you will be taken aback by the number of job openings available for Data scientists in different industries, whether it is IT or healthcare, Retail or Government offices or Academics, Life Sciences, Oceanography, etc. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 216995 edureka!
AWS re:Invent 2018: Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1)
 
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In this session, we discuss architectural principles that helps simplify big data analytics. We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.   Complete Title: AWS re:Invent 2018: [REPEAT 1] Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1)
Views: 10832 Amazon Web Services
Tutorial #2 - Platforms for Big Data Analytics
 
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Platforms for Big Data Analytics with Dr. Chandan Reddy, Wayne State Tutorial Information: http://dmkd.cs.wayne.edu/TUTORIAL/Bigdata/ The paper is available at: http://dmkd.cs.wayne.edu/Papers/JBD14.pdf A Survey on Platforms for Big Data Analytics, Journal of Big Data, 2014
Learn Real Time Big Data Analytics Using Python and Spark: Hands-On | Learn Python and Spark
 
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#PythonTutorial | Learn how Spark and Python can be used to get real-time insights from data. A beginners tutorial for Apache Spark and Python. #SparkTutorial #GreatLearning #GreatLakes Know more about our analytics programs: PGP- Business Analytics: https://goo.gl/5uxWv4 PGP-Big Data Analytics: https://goo.gl/72o8Mc Business Analytics Certificate Program: https://goo.gl/egBcyK In today's world where data is being generated continuously the ability to draw insights from data and act on those insights is becoming a key skill. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis. About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.
Views: 13440 Great Learning
What does a data analyst actually do?
 
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Dave Elkington, CEO of InsideSales.com, explains the role of a data analyst, and why cleaning up data sets takes up the vast majority of their time. Algorithms and computer science play a minor role. For more, see https://www.siliconrepublic.com Follow us on Twitter: https://twitter.com/siliconrepublic Like us on Facebook: https://www.facebook.com/siliconrepublic
Views: 130959 Silicon Republic
Econometric Analysis of Health Data  Pdf
 
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Econometric Analysis of Health Data by Andrew M Jones Pdf. Get Yours Now On http://medibookbank.com/search
Views: 34 Bertiza
Japan Big Data Analytics Market is Segmented on the Basis of Types Applications
 
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Place inquiry on Japan Big Data Market report @ http://goo.gl/JSoqGf .( US $2650 for a single user PDF) Japan big data analytics market is estimated to grow at a CAGR of 34% from 2014-2019. Although China holds the larger shares in the APAC big data analytics market, Japan and Australiaare expected to grow considerably. The growth of the big data analytics market in this region is driven by rise in transactional and unstructured data, growth in application of big data for marketing activities, growth in public sector, and rise in ICT expenditure, and issues regarding data privacy. It acts as a tool and helps to understand different information related to data and give insight which is important for making future decision in business.
Views: 18 Peter Clark
Big Data analysis Hadoop  with Mapreduce, HIVE, PIG , Zookeeper and Spark Class 2
 
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In this module, you will learn the Hadoop Cluster Architecture, Important Configuration files in a Hadoop Cluster, Data Loading Techniques. usa Big Data analysis Hadoop Class 2 Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. keyword: big data analytics big data hadoop big data certification big data tutorial big data technologies big data ppt big data courses big data analytics tools big data tools big data analytics pdf big data big data university big data analytics courses big data and hadoop big data architecture big data applications big data analytics ppt hadoop tutorial hadoop training hadoop interview questions hadoop wiki hadoop architecture hadoop big data hadoop certification hadoop ecosystem hadoop download hadoop installation mapreduce tutorial mapreduce interview questions mapreduce architecture mapreduce example mapreduce hadoop mapreduce in mongodb mapreduce programming mapreduce tutorial pdf hive tutorial hive interview questions hive meaning in hindi hiveminds hive data types hives on skin hive commands hive architecture hive tutorial pdf pigeon spark tutorial
Views: 266 EpCo Technology
Output Delivery System(ODS) in SAS
 
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In this video you will learn about how to save your output from a SAS proc in doc, pdf, rtf format in a local system For Training & Study packs on Analytics/Data Science/Big Data, Contact us at [email protected] Find all free videos & study packs available with us here: http://analyticuniversity.com/ SUBSCRIBE TO THIS CHANNEL for free tutorials on Analytics/Data Science/Big Data/SAS/R/Hadoop
Views: 15643 Analytics University
Big Data analysis Hadoop  with Mapreduce, HIVE, PIG , Zookeeper and Spark class 4
 
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Big Data analysis Hadoop class 4 usa In this module, you will understand concepts like Input Splits in MapReduce, Combiner & Partitioner and Demos on MapReduce using different data sets. 大数据分析Hadoop类4美国 在本单元中,您将了解使用不同数据集的MapReduce,组合器和分区器中的输入拆分和MapReduce上的演示等概念 Big Data analysis Hadoop classe 4 usa Dans ce module, vous allez comprendre des concepts comme Splits d'entrée dans MapReduce, Combiner & Partitioner et Demos sur MapReduce en utilisant différents ensembles de données. Große Datenanalyse Hadoop Klasse 4 usa In diesem Modul werden Sie verstehen, Konzepte wie Input Splits in MapReduce, Combiner & Partitioner und Demos auf MapReduce mit verschiedenen Datensätzen. ビッグデータ分析Hadoop class 4 usa このモジュールでは、MapReduce、Combiner&PartitionerのInput Splits、MapReduceのデモなど、さまざまなデータセットを使用して概念を理解します。 빅 데이터 분석 하둡 클래스 4 미국 이 모듈에서는 MapReduce, Combiner & Partitioner의 Input Splits, MapReduce의 Demo와 같은 개념을 다양한 데이터 세트를 사용하여 이해합니다. Большой анализ данных Hadoop 4 класса США В этом модуле вы поймете, такие понятия, как Input расколы в MapReduce, Combiner и секционирования и Demos на MapReduce, используя различные наборы данных. Análisis de datos grandes Hadoop clase 4 usa En este módulo, usted entenderá conceptos como Splits de entrada en MapReduce, Combiner & Partitioner y Demos en MapReduce utilizando diferentes conjuntos de datos. Big Dataanalys Hadoop klass 4 USA I denna modul kommer du att förstå begrepp som ingångs Splits i MapReduce, Combiner & Partitione och demonstrationer på MapReduce med olika datamängder Phân tích dữ liệu lớn Hadoop lớp 4 usa Trong mô-đun này, bạn sẽ hiểu các khái niệm như Tách Input trong MapReduce, Combiner & phân vùng và Demo về MapReduce sử dụng bộ dữ liệu khác nhau. keyword: big data analytics big data hadoop big data certification big data tutorial big data technologies big data ppt big data courses big data analytics tools big data tools big data analytics pdf big data big data university big data analytics courses big data and hadoop big data architecture big data applications big data analytics ppt hadoop tutorial hadoop training hadoop interview questions hadoop wiki hadoop architecture hadoop big data hadoop certification hadoop ecosystem hadoop download hadoop installation mapreduce tutorial mapreduce interview questions mapreduce architecture mapreduce example mapreduce hadoop mapreduce in mongodb mapreduce programming mapreduce tutorial pdf hive tutorial hive interview questions hive meaning in hindi hiveminds hive data types hives on skin hive commands hive architecture hive tutorial pdf pigeon spark tutorial
Views: 102 EpCo Technology
BIG DATA | Nerdologia
 
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Neste episódio do Nerdologia você vai entender o que é a Big Data e descobrir como ela pode até "prever o futuro". Conheça os canais da GE: http://www.youtube.com/gedobrasil http://www.gereportsbrasil.com.br http://www.facebook.com/ge http://www.twitter.com/gedobrasil http://www.ge.com.br Nerdologia | Espetáculo da Iluminação - GE do Brasil http://bit.ly/1s4fPVS Nerdologia | Energia do Lixo - GE do Brasil http://bit.ly/1jyVgOY Apresentação e Roteiro: Átila Iamarino - http://www.twitter.com/oatila Edição e Arte: Tucano Motion - http://tucanomotion.com.br Suporte: Paloma Mieko - http://www.twitter.com/palomamieko e http://omnivora.com.br/ Apoio: Caio Gomes - https://twitter.com/caiocgomes Ricardo Bittencourt - https://twitter.com/ricbit MATERIAIS USADOS: - Mrs Brown Tries a Search Engine - Mrs Brown's Boys - Series 3 Episode 4 Preview - BBC One http://bit.ly/1q3VQXG - Doctor Who http://bit.ly/1ke9QGv - Dark Knight cell surveillance trim scene http://bit.ly/1ke9UGf - Evolution Data http://bit.ly/1kLVGw1 - Facebook's 'dark side': study finds link to socially aggressive narcissism http://bit.ly/1mosdNt - Star Trek STNG Moments 85 Data's Day http://bit.ly/1mSd1cz - February -- Style Icon Month http://bit.ly/1qrMyR4 - Facebook Vs Big Brother http://bit.ly/1oNRoZn - New Facebook Feature Cool or Creepy http://bit.ly/1tw1V0A - Smartphone interview http://bit.ly/VTVFk6 - Guilherme Briggs http://glo.bo/W4aD7B - Comic Book Store http://bit.ly/1m0ZHMU - Justin Bieber acoustic music poster Obrazy http://bit.ly/1oLxAnO - The Sticky Methods Of Marketing Cereal To Kids http://onforb.es/1zu8GAn - Target knows when you're pregnant http://bit.ly/1nlCGt2 - Target increases number of customers who had personal details stolen to 70MILLION after holiday data breach http://dailym.ai/1q3WjsX - sma snp500 strategy http://bit.ly/1nfa7J3 - Social Market Analytics secret sauce for using Twitter Sentiment for Stocks Trading http://bit.ly/1zu8QI4 - So How Does Twitter Make Money, Anyway? http://bit.ly/1mGOfdS - Chaves - Os remédios do Quico http://bit.ly/1r3MScF - Google Flu Trends Overview http://bit.ly/1sHCGUR - Check-out é uma ótima área para aumentar a lucratividade http://bit.ly/1q3Wx3f - Mariano dançando AQUELE Funk http://bit.ly/1zu91mL - Thomas and Friends http://bit.ly/1qR9vPP - Global ship traffic seen from space FleetMon Satellite AIS and FleetMon Explorer http://bit.ly/1oqJJ0e - A Day in the Life of Air Traffic Over the World http://bit.ly/1oLyuk9 - 2014 Chevrolet Silverado GMC Sierra Infotainment Review (Chevy MyLink) http://bit.ly/1jk7fzC - mbrace Apps - Weather - Mercedes Benz USA Owners Support http://bit.ly/VTWVE2 - Waze http://bit.ly/1kebUON - What is Big Data and how does it work http://bit.ly/1sHDnNN - GE Masterclass with Baratunde Thurston - How Does a Jet Engine Work? http://bit.ly/TXuUts - GE Masterclass with Baratunde Thurston - How Does a Locomotive Work? http://bit.ly/1oLz0P8 - GE Masterclass: Extra Credit with Baratunde Thurston - How Does a Jet Engine Work? http://bit.ly/1jyAfE4 - GE Masterclass with Baratunde Thurston - How Do Wind Turbines Work? http://bit.ly/1zu9sNW - the net sandra bullock chat scene http://bit.ly/1mouuZ3 - GE Software: The Next Industrial Revolution Is Here http://bit.ly/1q3WUuN - GEnx Aircraft Engine Industrial Internet GE Europe http://bit.ly/TXvdEM - Céus Verdes Brasil - GE do Brasil http://bit.ly/1qrO3yJ - Remember the Y2k, year 2000 bug scare? http://bit.ly/1qrO4CV FONTES: - Bollen, Johan, Huina Mao, and Xiaojun Zeng. "Twitter mood predicts the stock market." Journal of Computational Science 2, no. 1 (2011): 1-8. [pdf] http://bit.ly/1qNlZrJ - Volume de dados do Facebook 1: http://on.fb.me/1naQwK0 - Volume de dados do Facebook 2: http://cnet.co/1oJUbCT - Caixas de cereais para crianças: http://bit.ly/1rb4D7m - A reportagem de Charles Duhigg: http://nyti.ms/1naQDW0 - Google Flu Trends: http://www.google.org/flutrends/ - Livro citado: Predictive Analytics, por Eric Siegel CANAIS CITATOS: https://www.youtube.com/user/matematicario https://www.youtube.com/user/ibiomovies https://www.youtube.com/user/MinutoDaFisica https://www.youtube.com/user/minutospsiquicos SIGA-NOS NAS REDES SOCIAIS: Facebook http://www.fb.com/CanalNerdologia G+: http://bit.ly/1hNOvpD Twitter: http://twitter.com/CanalNerdologia Instagram: http://instagram.com/nerdologia
Views: 736659 Nerdologia
The Big Data Resume: Hiring Analytics in the Age of Hyperconnectivity with Christopher White T’15
 
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Chris White T'15, Center for Digital Strategies MBA Fellow at the Tuck School of Business, presents his research on how companies are using hyperconnectivity and big data to recruit and manage talent. Explore the full report: http://digitalstrategies.tuck.dartmouth.edu/cds-uploads/people/pdf/White_BigDataResume.pdf