Udemy – Statistics in R: Learn to Code in R and Analyze Data

Are you ready to transform raw data into meaningful insights using R, one of the most powerful tools for statistical computing and data analysis? Whether you’re a beginner or a professional seeking to sharpen your analytical skills, this course takes you on a step-by-step journey through R programming and applied statistics—from the basics all the way to advanced experimental designs.

This practical, hands-on course is designed especially for learners who want to apply statistics in real-world research, healthcare, business, and academic projects. You’ll not only learn the theory but also see how to implement every concept directly in R and RStudio, gaining the skills to analyze, visualize, and interpret data confidently.

What You’ll Learn:

• Getting Started with R & RStudio
  Install, set up, and navigate R and RStudio with ease. Learn the fundamentals of coding in R even if you’ve never programmed before.
• Working with Data
  Import datasets, clean and explore your data, and summarize findings with descriptive statistics and visualizations.
• Regression Analyses
  Master simple and multiple linear regression, model comparison (hierarchical regression), and predictor selection techniques.
• Handling Collinearity
  Detect and deal with collinearity and multicollinearity to improve the reliability of your models.
• Hypothesis Testing
  Conduct t-tests and one-way ANOVA to compare groups and test statistical hypotheses.
• Advanced ANOVA Techniques
  Learn planned contrasts, factorial ANOVA, repeated measures, and mixed-design ANOVA for more complex experimental designs.

By the End of This Course:

• You’ll be able to:
• Import and manage data in R.
• Generate descriptive and visual summaries.
• Conduct and interpret regression models.
• Apply and understand t-tests, ANOVAs, and contrasts.
• Handle complex experimental designs with confidence.

Take this course and unlock the full potential of R for your research and career!

DOWNLOAD LINK: Statistics in R: Learn to Code in R and Analyze Data

Statistics_in_R_Learn_to_Code_in_R_and_Analyze_Data.part1.rar – 1000.0 MB
Statistics_in_R_Learn_to_Code_in_R_and_Analyze_Data.part2.rar – 1000.0 MB
Statistics_in_R_Learn_to_Code_in_R_and_Analyze_Data.part3.rar – 1000.0 MB
Statistics_in_R_Learn_to_Code_in_R_and_Analyze_Data.part4.rar – 1000.0 MB
Statistics_in_R_Learn_to_Code_in_R_and_Analyze_Data.part5.rar – 1000.0 MB
Statistics_in_R_Learn_to_Code_in_R_and_Analyze_Data.part6.rar – 128.0 MB

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