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Free Download Udemy - R / RStudio Masterclass
Published: 4/2025
Created by: Oliver Müller
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 89 Lectures ( 11h 41m ) | Size: 9.63 GB

Master R, Data Science and Machine Learning
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.
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
Together, we will install R and RStudio on your Windows machine.I will show you in this course how to use R and R Studio and how to leverage atomic objects in R. Then we will cover data frames, lists, vectors, factors and more relevant objects in R.We will dive deeply into the magic world of data. How data will be imported into R and how we can export data from R.Then I will show you how you can create visualizations like a professional data scientst in R in order to present your findings and insights to customers, stakeholders or colleagues.I will show you all what you need about control structures and I will teach you everything you need to know about Data Science, e.g. how you can implement data quality checks and how you can implement machine learning in R.Finally, we will cover the topic of debugging in R, and we will learn more about semantic errors and syntax errors.It does not matter if you are new to R or if you are already a professional. If you are new to R, I will show you all the necessary steps in order to get started and, if you are a professional, you will learn specific knowledge about how you can run your code in parallel, how you optimize your code and how you build a data science project.
Who this course is for
Everyone who is interested in learning data science, machine learning and programming in R.
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