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Web Analytics with Hands on Projects in R

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Master how to implement Slowly Changing Dimensions in data warehouses for accurate historical data tracking using R tools and techniques
  • Analyze web traffic data to identify user behavior patterns and optimize digital marketing strategies with R analytics
  • Build and visualize OLAP cubes in R to facilitate multi-dimensional data analysis and support business decision-making
  • Apply R programming skills to clean, transform, and analyze web analytics data for actionable insights
  • Design and execute hands-on projects in R to develop practical skills in web analytics and data warehousing
  • Utilize R libraries for data visualization and reporting to communicate web analytics findings effectively

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Lessons | 6


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Abhishek Sajgane

Very Useful this Course 2023-02-26

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Implementing Slowly Changing Dimensions in a Data Warehouse — An OLAP (online analytical processing) cube is a multi-dimensional array of data that allows .