R Programming for Data Science- Practise 250 Exercises-Part1
Learn by Doing: Practical R Programming with Data Frames, ggplot2, and dplyr for Data Science using RStudio
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196
students
3 hours
content
Mar 2025
last update
$59.99
regular price
What you will learn
Develop a strong foundation in R programming by solving diverse exercises, reinforcing key concepts like data types, control structures, and functions.
Gain hands-on experience with popular R libraries such as dplyr, ggplot2, tidyverse, and caret to manipulate and visualize datasets effectively.
Apply data wrangling techniques to clean, transform, and organize real-world datasets using R.
Master data visualization by creating insightful and professional-quality plots with ggplot2 and other visualization libraries.
Enhance your statistical analysis skills by performing descriptive statistics, hypothesis testing, and regression analysis in R.
Explore different datasets available in R and use them to practice machine learning algorithms such as linear regression, classification, and clustering.
Debug and optimize R code by identifying common errors and applying best practices for efficient coding.
Prepare for real-world data science challenges by solving exercises that reflect common tasks in data analysis and machine learning projects.
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udemy ID
9/1/2024
course created date
10/2/2024
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