Data Manipulation in R - R Programming For Data Science | Lecture Notes - YNetStudyHub
R Programming For Data Science

Data Manipulation in R

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Explore data manipulation techniques in R, including data cleaning, filtering, sorting, merging, and reshaping. Learn how to work with different types of data structures such as vectors, matrices, data frames, and lists.

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Unit Syllabus 28 Topics
1
Introduction to R Programming
Data Types and Data Structures in R
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Data Manipulation with dplyr
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Data Visualization with ggplot2
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Working with External Data Sources
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Statistical Analysis with R
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Machine Learning Basics in R
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Text Mining and Natural Language Processing in R
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Time Series Analysis in R
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R Markdown for Reproducible Research
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Introduction to R Programming
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Data Types and Data Structures in R
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Control Structures and Functions in R
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Data Import and Export in R
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Data Wrangling and Cleaning
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Data Visualization with ggplot2
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Statistical Analysis with R
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Machine Learning with R
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Reporting and Presenting Results
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Best Practices and Advanced Topics
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Introduction to R Programming
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Data Manipulation in R
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Data Visualization with ggplot2
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Statistical Analysis in R
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Working with APIs and Web Scraping in R
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Machine Learning Basics in R
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Text Mining and Natural Language Processing in R
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Shiny App Development
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