R Programming for Data Analysis and Data Science

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R Programming for Data Analysis and Data Science

Step confidently into the world of data. This beginner‑friendly R programming course walks you through the essential tools, techniques, and workflows used by data analysts and data scientists every day.

(4.6 out of 5)

328 ratings

7,884 learners

Duration

Level

Beginner → Advanced

Language

English

Requirements

Beginner-friendly

Course overview

Step confidently into the world of data. This beginner‑friendly R programming course walks you through the essential tools, techniques, and workflows used by data analysts and data scientists every day. Whether you’re exploring data for the first time or leveling up your analytical skills, this course gives you the practical foundation you need to work with real datasets, uncover insights, and build your own data‑driven projects.

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$18.99

$24.99

4.6 out of 5

Out of 5 stars

328

Ratings

4,884

Learners enrolled

Main description

R is one of the most powerful and widely used programming languages in the data world. From statistical modeling to data visualization and machine learning, R gives you the flexibility and depth to analyze data with confidence. This course blends hands‑on practice with clear explanations, helping you build real skills—not just theoretical knowledge. You’ll work through real examples, write your own R code, and learn how to transform raw data into meaningful insights. By the end, you’ll be ready to apply R in business, research, or personal projects.

Why this course matters

R is a top choice for data analysis, statistics, and academic research.

Companies across finance, healthcare, tech, and government rely on R for data‑driven decisions.

Learning R opens the door to high‑growth careers in data science and analytics.

It’s free, open‑source, and supported by a massive global community.

What you will learn

How to install and set up R and RStudio

Writing clean, efficient R code

Importing, cleaning, and transforming datasets

Creating visualizations with ggplot2

Performing statistical analysis

Building simple predictive models

Best practices for real‑world data workflows

Core skills you’ll gain

Data wrangling

Data visualization

Statistical thinking

Exploratory data analysis (EDA)

R programming fundamentals

Analytical problem‑solving

Course modules

Course Curriculum

Module 1 — Getting Started with R Installing R & RStudio

Understanding the R environment
Writing your first R script

Module 2 — Working with Data

Module 3 — Visualizing Insights

Module 4 — Statistics & Analysis

Module 5 — Intro to Machine Learning Simple linear models

Course Includes

Step‑by‑step video lessons

Downloadable datasets

Hands‑on coding exercises

Real‑world examples

24 months access

Certificate of completion

Who This Course Is For

Absolute beginners curious about data

Students preparing for analytics or data science careers

Professionals who want to add data skills to their toolkit

Researchers and academics who need statistical tools

Anyone switching careers into tech or analytics

Career Outcomes

After completing this course, learners often pursue roles such as:

Data Analyst

Junior Data Scientist

Business Intelligence Analyst

Research Analyst

Statistical Programmer

Reporting Specialist

You’ll also be prepared to continue into more advanced R, machine learning, or data science programs.

Why This Course Stands Out

Designed for complete beginners

Practical, real‑world examples—not abstract theory

Teaches industry‑standard R packages

Short, efficient, and highly actionable

Clear explanations that make complex topics feel simple

Built to help you actually use R, not just watch videos

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Frequently Asked Questions

No. The course is designed for complete beginners and walks you through every step, from installation to analysis.

Yes. You’ll work with real‑world data and complete a final project that mirrors what analysts do in professional environments.

It depends on your goals. R excels in statistics, visualization, and academic research. This course helps you understand why many analysts prefer R for data‑heavy work.

Absolutely. R is widely used in data science, and this course gives you the foundational skills needed to move into more advanced topics.

You get 24 months access, so you can revisit lessons, practice exercises, and project files anytime.