DATA ANALYTICS

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Data-Analytics-DWT-11-Feb-19 copy
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Jul

Data Analytics

Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain. Data analytics techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify scientific models, theories and hypotheses. Data analytics actions can help businesses increase revenues, improve efficiency, optimize campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over others. Data that are analyzed can consist of either historical records or new information that has been processed for real-time analytics uses. More advanced data analytics concepts include data mining, which involves sorting through large data sets to identify trends, patterns, and relationships; predictive analytics, which seeks to predict customer behavior, equipment failures and other future events; and machine learning, an artificial intelligence technique.

What you will gain from the this course

By completing Data Analytics course in DataWTech, you will be :

  • Data collection from different sources
  • Cleaning and preparing data for Data Analytics
  • Classification Algorithm
  • Clustering and Association Algorithm
  • Present predicted data in Visualization format

Course Content

Time: 10 weeks

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