Master statistics using R: Coding, concepts, applications

Learn R, data analysis, visualization, inference, and regression through real-world statistical practice.
4.5 ★★★★★227 studentsCreated by Mike X CohenPublished/Updated on: 🌐 English
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Key Takeaways

Course Essentials

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

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Course Title
Master statistics using R: Coding, concepts, applications
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Provider
Udemy (via CourseSpeak listing)
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Instructor
Mike X Cohen
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Last Updated
October 2, 2025
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Difficulty Level
Advanced
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Course Focus
teaching & academics fundamentals to advanced concepts
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Learning Outcomes
R Programming & Data Wrangling, R programming for data analysis, Writing clean reproducible R code
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Prerequisites
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
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Target Audience
Beginners to advanced programmers

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What you'll learn

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

✓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.

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 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

Course Description

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

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About the Instructor

Course Expert
👨‍💻
Mike X Cohen
Senior Instructor
Experience

12+ years developing large-scale systems in Statistics.

Specialization

teaching & academics education and applied programming expertise.

Institution

Professional Academy - Leading provider of quality teaching & academics education and professional development.

Review - Master statistics using R: Coding, concepts, applications 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: Master statistics using R: Coding, concepts, applications by Mike X Cohen

Master statistics using R: Coding, concepts, applications is a comprehensive online course designed to help students master Teaching & Academics skills. Created by Mike X Cohen, 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 Statistics and take their career to the next level.

Our Recommendation

Course recommendation: Master statistics using R: Coding, concepts, applications excels in teaching & academics 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.

4.5
★★★★★
Course Rating
Based on 227 student reviews as of October 2025
Rating Breakdown:
5 stars:
75% (170)
4 stars:
15% (34)
3 stars:
5% (11)
2 stars:
5% (11)
1 star:
5% (11)
SJ
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.

MT
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.

DK
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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Master statistics using R: Coding, concepts, applications
$9.99$119.9992% Off
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2025***
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What the Course Includes:
Duration28h 30m on-demand video
Device CompatibilityMobile & TV
Access TypeLifetime Access
CertificationCompletion Certificate