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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Udemy
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English
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R Programming for Data Science- Practise 250 Exercises-Part1
198
students
3 hours
content
Mar 2025
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$59.99
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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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6159767
udemy ID
01/09/2024
course created date
02/10/2024
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