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Data Analysis with R

Track :

Programming

Lessons no : 15

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What will you learn in this course?
  • Master data manipulation and cleaning techniques using R for accurate analysis and reporting
  • Apply statistical methods and models in R to interpret complex datasets effectively
  • Create visualizations and graphics in R to communicate data insights clearly and persuasively
  • Develop predictive models and algorithms for data-driven decision making in R
  • Utilize R packages for data mining, clustering, and classification to uncover hidden patterns
  • Perform exploratory data analysis to identify trends, outliers, and correlations in datasets
  • Implement reproducible data analysis workflows using R scripting and version control tools
  • Evaluate and validate analytical models to ensure accuracy and reliability in real-world scenarios

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Lessons | 15

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Aswin P Ajayan

Excellent
2025-10-31

Ian

awesome
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Like Ge

the 12th video is not clear
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Joseph Omale

It was indeed educative
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It's is so useful
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Amazing experience
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R analytics is data analytics using R programming language, an open-source language used for statistical computing or graphics. This programming language is often used in statistical analysis and data mining. It can be used for analytics to identify patterns and build practical models.