HomeCoursesData Science in R: From Basics to Machine Learning

Beginner

15h

Data Science in R: From Basics to Machine Learning
Save for later

Explore R for data science, from basics to machine learning. Learn data manipulation, visualization, version control, and workflow optimization for real-world challenges.

Join 2.6 million developers at

Table of Contents

Learner Reviews

Related Content

Course Overview

Embark on an exciting journey with R as your trusted ally for data science. This comprehensive course will equip you with essential skills to leverage R's power for data manipulation and analysis. The course is suitable even if you have limited R experience, empowering you to perform data science tasks effectively. The journey starts with R fundamentals to lay a strong foundation. You’ll master the tidyverse to create powerful and readable code. Then, you will explore the import of various data sources, vi...Show More

Embark on an exciting journey with R as your trusted ally for data science. This comprehensive course will equip you with essent...Show More

WHAT YOU'LL LEARN

Familiarity with R fundamentals: syntax, key operations, and data types/structures

The ability to create engaging data visualizations in R using various techniques

A deep knowledge of the tidyverse (dplyr, tidymodels, ggplot2) for data analysis

Hands-on experience developing machine learning models in R

Proficiency with data wrangling in R, including filtering, joining, and reshaping

Familiarity with Git and GitHub integration for version control in R

Familiarity with R fundamentals: syntax, key operations, and data types/structures

TAKEAWAY SKILLS

Machine Learning

Data Science

Data Manipulation

Data Cleaning

Data Plotting

Git

Data types

Strings

Functions

Data Visualization

Neural Networks

Course Content

53 Lessons3 Projects9 Quizzes

Why R?

4 Lessons

Get familiar with R's importance for data science, statistical analysis, and visualizations.

Course Overview

What is R?

Why Data Scientists Need R

Quiz: R Overview

R Fundamentals

7 Lessons

Discover the logic behind R syntax, flow control, data frames, matrices, libraries, and data loading.

Getting Organized—Libraries and Working Directories

Loading External Data

Quiz: R Fundamentals

R Fundamentals Exercises

Project

Readable Coding with tidyverse

9 Lessons

Go hands-on with tidyverse for enhanced data manipulation, visualization, and code readability in R.

Tidyverse Overview

Special Data Type—tibbles

Compounding Commands with the Pipe Operator

Joins and Lookups

Filtering Datasets

Stacking and Unstacking Data

Applying Complex Row-by-Row Operations

Important Tidyverse Functions for Data Science

Quiz: Tidyverse

Tidyverse Exercises

Project

Importing More Data Sources

4 Lessons

Build a foundation in importing data from databases, web sources, and Excel into R.

Data Visualization with ggplot2

5 Lessons

Dig deeper into data visualization techniques and customization with ggplot2 in R.

Why ggplot2?

Basic Plots in ggplot2

Customizing ggplot2 Plots

Faceting and Saving Plots

Quiz: The ggplot2 Package

Best Practices for Data Scientists

3 Lessons

Tackle effective naming conventions, function creation, and systematic project structure for better data science practices in R.

Variable Naming Conventions

Creating Functions

Project Structure

Statistical Analysis and Machine Learning with tidymodels

6 Lessons

Build on tidymodels for statistical analysis, machine learning, and model optimization.

Getting Started with tidymodels

Linear Regression

Random Forest

Hyperparameter Tuning with Random Forest

Neural Networks

Quiz: The tidymodels Package

Exploring tidymodels through Exercises

Project

11.

Useful Libraries for Data Science

5 Lessons

Learn how to use essential R libraries for date handling, string manipulation, mapping, and data checking.

Date and Time—Lubridate

String Manipulations—The stringr Package

Mapping—The ggmap Package

Checking Data—The skimr Package

Quiz: Useful Libraries

12.

Git Integration

5 Lessons

Get started with integrating Git and GitHub for effective R project management.

Git and GitHub Overview

R Projects

Using Git with R

Next Steps with R and GitHub

Quiz: Git Integration

13.

Getting The Most Out of R

3 Lessons

Work your way through efficient coding, analytical practices, and advanced R applications.

Efficient Coding Practices

Analytical Best Practices

Conclusion

14.

Appendix

2 Lessons

Grasp the fundamentals of using RStudio and finding support in the R community.

RStudio Orientation

Getting Support in R

Credit Card Fraud Detection using the R Language

Project

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Chris Walsh

Join 2.6 million learners and start transforming your career today

Looks a bit advance? Start here.

Course

Data Science Handbook

Explore data science fundamentals, including generative AI, time series, and business analytics. Gain insights into practical applications using Python libraries like pandas, seaborn, and TensorFlow.

beginner

2 hours 30 mins

Course

Data Science for Non-Programmers

Gain insights into conducting meaningful data analysis in Python without prior programming experience. Discover Python fundamentals, data preprocessing, EDA, and predictive analytics for solving business problems.

beginner

13 hours

Course

Data Science Handbook

beginner

2 hour 30 min

Course

Data Science for Non-Programmers

beginner

13 hour

Trusted by 2.6 million developers working at companies

"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"

Anthony Walker

@_webarchitect_

"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"

Evan Dunbar

ML Engineer

"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Carlos Matias La Borde

Software Developer

"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"

Souvik Kundu

Front-end Developer

"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."

Vinay Krishnaiah

Software Developer

"I've tried probably 5-7 different sites and Educative is easily the best. It perfectly blends explanation with interactivity"

Eric Downs

Musician/Entrepeneur

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Put your skills to the test in a simulated interview setting. Receive personalized feedback based on your performance. Available in Premium & Premium Plus plans.

Adaptive Learning

At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Course

Data Science with R: Decision Trees and Random Forests

Gain insights into essential machine learning algorithms in R, including CART, random forest, and XGBoost. Discover model tuning and cross-validation to create accurate, robust data science models.

intermediate

14 hours

Course

Data-Centric Statistical Inference Using R and Tidyverse

Gain insights into data visualization with ggplot2, explore data wrangling, and learn about regression modeling using R and Tidyverse. Discover statistical inference through computational methods with the infer package.

beginner

17 hours

Course

Data Visualizations with ggplot2 in R

Gain insights into using ggplot2 in R to create compelling visualizations. Learn about scatter plots, bar charts, customizing themes, and building interactive maps to enhance data storytelling.

beginner

10 hours

Course

Data Science with R: Decision Trees and Random Forests

intermediate

14 hour

Course

Data-Centric Statistical Inference Using R and Tidyverse

beginner

17 hour

Course

Data Visualizations with ggplot2 in R