Learn By Example: Statistics and Data Science in R
Self-Paced Learning
Learning StyleBeginner
Difficulty9 Hours
Course Duration
{{startDate}}
9:00 AM - 5:00 PM CST March 22, 2017 - March 27, 2017 Days -
Duration - 0 Days -
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Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis
This course is an introduction to Data Science and Statistics using the R programming language. It covers both the theoretical aspects of Statistical concepts and the practical implementation using R.
Audience:
- MBA graduates or business professionals who are looking to move to a heavily quantitative role
- Engineers who want to understand basic statistics and lay a foundation for a career in Data Science
- Analytics professionals who have mostly worked in Descriptive analytics and want to make the shift to being modelers or data scientists
- Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis
Prerequisite:
- No prerequisites : We start from basics and cover everything you need to know. We will be installing R and RStudio as part of the course and using it for most of the examples. Excel is used for one of the examples and basic knowledge of excel is assumed.
| Lab Access | No |
|---|---|
| Learning Style | Self-Paced Learning |
| Difficulty | Beginner |
| Course Duration | 9 Hours |
| Language | English |
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