Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 2 Minute(s)
Language
English
Taught by
Michael Jordan
Rating
1 views
Course Overview
Learn R in under an hour
In under an hour we will cover the fundamentals of R programming. The first part of the video will be about understanding WHY we do things in R and then in the second part I will show you HOW to do things in R. We will cover the following topics:
Installing R & RStudio
Installing and Loading Packages
Tour of RStudio
Basic Maths Calculations in R
Importing and Exporting Data in R
Data Structures: Data Frames and Vectors
Graphs and Data Visualisation
Create your own Function in R
This course is designed for someone who is new to programming and each video is relatively straightforward. The last video is a bit more challenging as we cover loops within loops. But by the end of this course you will be comfortable with the basics of R and be ready to learn more advanced topics.
If you are one of my Actuarial Students, this course is compulsory.
Course Content
- 9 section(s)
- 10 lecture(s)
- Section 1 Introduction to the Course
- Section 2 Installing R, RStudio and Packages
- Section 3 A Tour of RStudio
- Section 4 Basic Maths Calculations in R
- Section 5 Importing and Exporting Data in R
- Section 6 Data Structures: Data Frames and Vectors in R
- Section 7 Graphs and Data Visualisation in R
- Section 8 Creating your own Functions in R
- Section 9 Bonus: R for Actuaries Textbook Review
What You’ll Learn
- Installing R, Loading Packages, RStudio, Maths calculations, Data Structures, Importing & Exporting Data, Data Visualisation & Graphs, Creating Functions
Reviews
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JJohn Munyaka
As a beginner ,I have found it very easy to comprehend.Cheers!
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EEka Nwandu
i am enjoying the training, am new in data analysis, you did a great job helping persons like us by making it in its simplest form.
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YYahia Tohamy
very smooth and brilliant
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CClaudia Carli
Nice, although as a non math educated person, I found the jump to create own function huge from the previous intro.
