Big Data Hadoop Training - PowerPoint PPT Presentation
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Big Data Hadoop Training
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The primary goal of big data analytics is to help companies make more informed business decisions by enabling data scientists, predictive modelers, and other analytics professionals to analyze large volumes of transactional data, as well as other forms of data that may be untapped by more conventional Business Intelligence(BI) programs. That could include web server logs and Internet click-stream data, social media content and social network activity reports, text from customer emails and survey responses, mobile phone call detail records and machine data captured by sensors and connected to the Internet of Things. – PowerPoint PPT presentation
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Title: Big Data Hadoop Training
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Data Science using R, Minitab XLMiner
R, Minitab XLMiner for Forecasting
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AGENDA
Data Mining Supervised Unsupervised
(Machine Learning)
Text Mining NLP
Data Visualization using Tableau
AGENDA
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What does it take to be a DATA SCIENTIST?
Domain Knowledge
All Agenda Topics
Statistical Analysis
Data Minin g
Practice
Data
Visualizatio n
Forecasting
Successful Data Scientist
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Welcome to the Information Age
drowning in data and starving for Knowledge
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BIG DATA!
500 million tweets every day, 1.3 billion
accounts YouTube users upload 100 hours of video
every minute 306 items are purchased every
second 26.6 Million transactions per day 100
terabytes of data uploaded daily
http//www.dnaindia.com/scitech/report-facebook-sa
w- one-billion-simultaneous-users-on-aug-24-21194
28 Processing 100 petabytes a day (1 petabyte
1000 terabytes) More than 1 million customer
transactions every hour https//www.techinasia.co
m/alibaba-crushes-records-brings-143-billion-singl
es-day
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Why Tableau?
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Why Tableau?
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Why Tableau?
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Why Tableau?
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Data Types Continuous Discrete
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Data Types Preliminaries
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Random Variable
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Probability
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Probability Distribution
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Probability Applications
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Sampling Funnel
Population Sampling Frame SRS Sample
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CONTACT US
www.excelr.com enquiry_at_excelr.com Toll FREE
1800-212-2120 (India) 0044-203-514-6638
(UK) 006-128-520-3240 (Australia) 001-844-392-357
1 (USA) 2348181496946 (Nigeria)
THANK YOU
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