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Programming for Data Science with R

Track :

Programming

Lessons no : 7

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What will you learn in this course?
  • Master data manipulation and visualization techniques using R for effective data science analysis
  • Apply statistical methods and models in R to interpret complex datasets accurately
  • Implement machine learning algorithms in R to build predictive data models
  • Utilize R's communication libraries to create compelling data reports and visualizations
  • Develop reproducible data science workflows with R for collaborative projects
  • Evaluate data quality and perform data cleaning using R to ensure reliable analysis

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Lessons | 7


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The good news is R is developed by academics and scientist. It is designed to answer statistical problems, machine learning, and data science. R is the right tool for data science because of its powerful communication libraries .