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IBM: R Programming Basics for Data Science

4.5 stars
266 ratings

This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.

R Programming Basics for Data Science
5 weeks
1–2 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

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Starts Nov 8
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R Programming Basics for Data Science

About this course

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The R language plays a critical role in data analysis and a common programming language when working in the field of data science & analytics. This course will introduce you to R language fundamentals like data types, techniques for manipulation, and how to implement fundamental programming tasks. We’ll also cover common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language.

This course emphasizes hands-on and practical learning. You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to produce data-driven insights.

No prior knowledge of R, or programming is required.

At a glance

What you'll learn

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  • Manipulate numeric and textual data types using the R programming language and RStudio or Jupyter Notebooks.

  • Define and manipulate R data structures, including vectors, factors, lists, and data frames.

  • Control program flow, define functions, perform character string and date operations, define regular expressions, and handle errors.

  • Read, write, and save data files and scrape web pages using R.

This course is part of Data Analytics and Visualization with Excel and R Professional Certificate Program

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Expert instruction
8 skill-building courses
Self-paced
Progress at your own speed
10 months
2 - 3 hours per week

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Certificate

Free

Price

$99 USD

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Limited

Expires on Dec 13

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