R Programming A-Z™: R For Data Science With Real Exercises!

Name: R Programming A-Z™: R For Data Science With Real Exercises!
Price: 9.99 USD
Availability: InStock
Rating: 4.6 (262675 reviews)

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

4.6 ★★★★★262,675 studentsCreated by Kirill Eremenko, SuperDataScience Team, LigencyPublished/Updated on: February 15, 2026🌐 English

Key Takeaways

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes and Coupon Code.

•Course Title: R Programming A-Z™: R For Data Science With Real Exercises!

•Provider: Udemy (via CourseSpeak listing)

•Instructor: Kirill Eremenko, SuperDataScience Team, Ligency

•Coupon Verified on: February 15, 2026

•Difficulty Level: All Levels

•Course Focus: development fundamentals to advanced concepts

•Learning Outcomes: Learn to program in R at a good level , Learn how to use R Studio , Learn the core principles of programming

•Prerequisites: No prior knowledge or experience needed. Only a passion to be successful!

•Target Audience: Beginners to advanced programmers

•Course Type: Self Paced Online Course. Lifetime Access

•Coupon: Click on REDEEM COUPON to Enroll and apply discount code

What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

✓Learn to program in R at a good level .

✓Learn how to use R Studio .

✓Learn the core principles of programming .

✓Learn how to create vectors in R .

✓Learn how to create variables .

✓Learn about integer, double, logical, character and other types in R .

✓Learn how to create a while() loop and a for() loop in R .

✓Learn how to build and use matrices in R .

✓Learn the matrix() function, learn rbind() and cbind() .

✓Learn how to install packages in R .

✓Learn how to customize R studio to suit your preferences .

✓Understand the Law of Large Numbers .

✓Understand the Normal distribution .

✓Practice working with statistical data in R .

✓Practice working with financial data in R .

✓Practice working with sports data in R.

Requirements

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

•No prior knowledge or experience needed. Only a passion to be successful!

Course Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive data science courses.

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About the Instructor

Learn from experienced professionals in the field.

•Instructor: Kirill Eremenko, SuperDataScience Team, Ligency

•Expertise: development education and applied programming expertise

•Experience: 12+ years developing large-scale systems in Data Science

•Teaching Style: Practical focus with real-world examples and hands-on projects

•Institution: Kirill Eremenko - Leading provider of quality development education

Review - R Programming A-Z™: R For Data Science With Real Exercises! course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: R Programming A-Z™: R For Data Science With Real Exercises! by Kirill Eremenko, SuperDataScience Team, Ligency

R Programming A-Z™: R For Data Science With Real Exercises! is a comprehensive online course designed to help students master Development skills. Created by Kirill Eremenko, SuperDataScience Team, Ligency, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Data Science and take their career to the next level.

Our Recommendation

Course recommendation: R Programming A-Z™: R For Data Science With Real Exercises! excels in development development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.6

★★★★★

Course Rating

Based on 262,675 student reviews as of February 2026

Rating Breakdown:

5 stars:

75% (197,006)

4 stars:

15% (39,401)

3 stars:

5% (13,134)

2 stars:

5% (13,134)

1 star:

5% (13,134)

Sarah Johnson

★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

Michael Torres

★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

David Kim

★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

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