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Data Science, Machine Learning and Statistics with R/RStudio
2 students

Data Science, Machine Learning and Statistics with R/RStudio

Master R, Data Science and Machine Learning
Created byOliver Müller
Last updated 3/2026
English

What you'll learn

  • Together we will install R and RStudio on Windows.
  • The learner will be able to write R code.
  • The learner will understand Machine Learning, Data Visualization and Data Science in R / RStudio.
  • The learner will work and understand data types in R like vector, data frame, list or factor.
  • The learner will use the Debugger and get hands on experience by working on a real project.
  • The learner will understand Regular Expressions in R.

Course content

11 sections • 89 lectures • 11h 41m total length

  • Introduction2:05
  • Navigate in uDemy4:55
  • Download material0:05
  • Install R and RStudio14:14
  • Atomic Objects in R5:51
  • Atomic Objects in R
  • Vectors10:45
  • Vectors in R
  • Lists and Matrices12:21
  • Data Frames10:42
  • Data Frames - Exercise2:06
  • Data Fames, Exercise - Solution2:35
  • Subsetting Vectors, Data Frames and Factors7:40
  • Subsetting Lists and Matrices7:34
  • Subsetting - Exercise1:28
  • Subsetting, Exercise - Solution2:12

Requirements

  • No programming knowledge is needed. I will teach you everything step by step.
  • You will need a computer and a working internet connection.

Description

Master Data Science & Machine Learning in R: From Beginner to Pro

Unlock the power of R to analyze data, build predictive models, and create stunning visualizations—all in one comprehensive course.

Why This Course?

In today’s data-driven world, R remains the gold standard for statistical analysis and high-level data science. Whether you are a complete beginner looking to break into the field or a seasoned pro wanting to optimize your workflow, this course is designed to take you from "Hello World" to building scalable Machine Learning pipelines.

What You Will Master:

  • Foundations & R-Environment: Seamlessly set up R and RStudio and master the core logic of atomic objects, vectors, factors, and data frames.

  • The Magic of Data Wrangling: Learn the professional way to import, clean, and export data, ensuring your datasets are always "analysis-ready."

  • Expert Data Visualization: Stop making basic charts. Learn to create professional-grade visuals that tell a story to stakeholders and colleagues.

  • Machine Learning & Statistics: Move beyond the basics. Implement data quality checks and deploy Machine Learning models directly within R.

  • Advanced Engineering: (For the Pros) Dive into parallel processing, code optimization, and structuring full-scale Data Science projects for maximum efficiency.

  • The Art of Debugging: Master the difference between syntax and semantic errors so you can spend less time fixing code and more time finding insights.

Is This Course For You?

  • The Newcomer: No prior coding experience? No problem. We start from the absolute basics of installation and logic.

  • The Professional: Already using R? We’ll level up your skills with advanced topics like parallel computing and performance optimization.

  • The Aspiring Data Scientist: If you want a portfolio of work that proves you can handle real-world data challenges, this is your roadmap.

Who this course is for:

  • Everyone who is interested in learning data science, machine learning and programming in R.

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