Learn By Example: Statistics and Data Science in R
Self-Paced
Learning Style
Beginner
Difficulty
9 Hours
Course Duration
Course Info
Certificate
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9:00 AM - 5:00 PM CST
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Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis
Course Information
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.
Outline
More Information
| Subjects | Big Data |
|---|---|
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Self-Paced Learning |
| Difficulty | Beginner |
| Course Duration | 9 Hours |
| Language | English |
| VPA Discount | VPA Discount |
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