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Introduction to R for Data Science Training
Live Online & Classroom Enterprise Training
Learn Data Science using R from scratch. Build your career as a Data Scientist.
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What is Introduction to R for Data Science Training about?
What are the objectives of Introduction to R for Data Science Training ?
Who is Introduction to R for Data Science Training for?
What are the prerequisites for Introduction to R for Data Science Training?
Available Training Modes
Live Online Training
18 HoursSelf-Paced Training
18 HoursCourse Outline Expand All
Expand All
- Take your first steps with R. Discover the basic data types in R and assign your first variable.
- Analyse gambling behaviour using vectors. Create, name, and select elements from vectors.
- Learn how to work with matrices in R. Do basic computations with them and demonstrate your knowledge by analysing the Star Wars box office figures.
- R stores categorical data in factors. Learn how to create subsets and compare categorical data.
- When working R, you’ll probably deal with Data Frames all the time. Therefore, you need to know how to create one, select the most exciting parts of it, and order them.
- Lists allow you to store components of different types. Section 6 will show you how to deal with lists.
- Discover R’s packages to do graphics and create your own data visualisations.
Who is the instructor for this training?
The trainer for this Introduction to R for Data Science Training has extensive experience in this domain, including years of experience training & mentoring professionals.
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