Master statistics using R: Coding, concepts, applications — 94% OFF Discount Coupon

Learn R, data analysis, visualization, inference, and regression through real-world statistical practice.

★4.6 out of 5
627 students
Created by Mike X Cohen
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Master statistics using R: Coding, concepts, applications before you enroll:

•Course Name: Master statistics using R: Coding, concepts, applications
•Platform: Udemy
•Instructor: Mike X Cohen
•Coupon Last Verified: May 2, 2026
•Level: Advanced
•Topic: Teaching & Academics
•Subtopic: Statistics
•Total Time: 28h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: R Programming & Data Wrangling · R programming for data analysis · Writing clean reproducible R code
•Requirements: No knowledge or skills are required for this course · Coding experience in any language is helpful but not necessary
•Current Price: $11.99 (was $199.99). You save $188.00 with 94% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Master statistics using R: Coding, concepts, applications, you'll have these practical skills:

✓R Programming & Data Wrangling .
✓R programming for data analysis .
✓Writing clean reproducible R code .
✓Tidyverse data manipulation skills .
✓Data wrangling with dplyr and tidyr .
✓Visualizing data with ggplot2 .
✓Handling messy, real-world datasets .
✓Creating clear, professional plots .
✓Organizing projects for reproducibility .
✓GitHub code-along scripts included .
✓Core Statistical Concepts .
✓Understanding sampling variability .
✓Exploring statistical distributions .
✓Central limit theorem in practice .
✓Standard error and confidence intervals .
✓Logic of hypothesis testing .
✓Null vs alternative hypotheses .
✓P-values and significance testing .
✓Comparing statistical tests effectively .
✓Building analytic intuition hands-on .
✓Inferential Statistics & Modeling .
✓Conducting t-tests in R .
✓ANOVA and group comparisons .
✓Chi-square test for categorical data .
✓Linear regression modeling in R .
✓Understanding assumptions of tests .
✓Interpreting effect sizes in R .
✓Practical Data Analysis .
✓Realistic messy data scenarios .
✓Iterative analysis and refinement .
✓Making decisions with uncertainty .
✓Interpreting results like a researcher .
✓Guided exercises for practice .
✓Step-by-step code demonstrations .
✓Building confidence as a data analyst .
✓Applying statistics to real projects.

What You Need Before Starting

Before enrolling in Master statistics using R: Coding, concepts, applications, make sure you have:

•No knowledge or skills are required for this course
•Coding experience in any language is helpful but not necessary
•Familiarity with basic stats terms like descriptive, inferential, mean, standard deviation, but not necessary

About This Udemy Course

The following is the full official course description for Master statistics using R: Coding, concepts, applications as published on Udemy by instructor Mike X Cohen:

Unlock the power of data by learning statistics the modern way—hands-on, intuitive, and with real-world tools. This course is designed for students, researchers, and professionals who want to move beyond memorizing formulas and truly understand how to analyze data. Using R programming and the tidyverse, you’ll build both the coding fluency and the statistical intuition you need to work like a real analyst.

We’ll start at the ground level: organizing messy datasets into tidy data, writing clean and reproducible code, and visualizing information effectively. From there, you’ll gain practical experience with the logic of inference—sampling variability, distributions, confidence intervals, and hypothesis testing—through approachable, step-by-step examples. Along the way, you’ll see how t-tests, chi-square, correlation, and regression all fit together under the same framework.

But this isn’t just another lecture-heavy course. You’ll code alongside me with guided exercises, code-along scripts, and real datasets, building a skill set you can apply immediately to assignments, theses, publications, or workplace projects. You’ll also explore more advanced techniques like bootstrapping, resampling, and regression modeling, reinforcing how these tools extend beyond the classroom and into research and professional practice.

By the end of this course, you’ll be able to:
  • Write R code that is clean, efficient, and reproducible.
  • Apply a broad set of inferential statistical methods to real data.
  • Visualize results in clear and compelling ways.
  • Develop the confidence to approach data like an experienced analyst.

Whether you’re new to statistics, transitioning into a data-focused role, or seeking a stronger foundation for research, this course offers a comprehensive, structured, and practical pathway to mastering statistics with R. Join today, and start building the tools to transform data into knowledge.

Compare Similar Courses

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Is the Master statistics using R: Coding, concepts, applications Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 2, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Master statistics using R: Coding, concepts, applications is a high-value resource for learners seeking to build skills inTeaching & Academics. Taught by Mike X Cohen on Udemy, the 28h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 94%, from $199.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 94% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 627 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Master statistics using R: Coding, concepts, applications:

  • The depth of Teaching & Academics coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Master statistics using R: Coding, concepts, applications Course holds an aggregate rating of 4.6 out of 5 based on 627 student reviews on Udemy.

4.6
★★★★★
627 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Mike X Cohen, the instructor responsible for creating and maintaining Master statistics using R: Coding, concepts, applications on Udemy.

Master statistics using R: Coding, concepts, applications is taught by Mike X Cohen, a Udemy instructor specializing in Teaching & Academics. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Mike X Cohen
•Subject Area: Teaching & Academics
•Teaching Approach: Practical, project-based instruction focused on real-world application of Teaching & Academics skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Master statistics using R: Coding, concepts, applications, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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