R programming from Scratch & Practice Case Studies workout
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Course overview
- Provider
- Udemy
- Course type
- Paid course
- Level
- All Levels
- Duration
- 4 hours
- Lessons
- 49 lessons
- Certificate
- Available on completion
- Course author
- Gopal Prasad Malakar
-
- Import / Enter / Viewing data and metadata in R
- Conduct Frequency Distribution Analysis / Univariate Analysis in R
- Create derived variables
- Merge / Append data sets
- Sort / Subset data sets
- Learn to substring variables
- Create cross tab analysis
- conduct Linear Regression analysis
Description
Analytics / Data Science: Learn to Import, Sort, Merge, Subset, Append, Freq, Univariate, Regression, Derive variable
What is this course about?
This course helps student learn R syntax for
- Import / Enter / Viewing data and metadata in R
- Conduct Frequency Distribution Analysis / Univariate Analysis in R
- Create derived variables
- Merge / Append data sets
- Sort / Subset data sets
- Learn to substring variables
- Create cross tab analysis
- conduct Linear Regression analysis
- Practice case studies
Terminology associated with the course
- R syntax
- Data Mining
- Analytics
- Machine Learning
Material for the course
- 20 HD Videos
- Excel Data sets
- PDF of presentation
- R code
How long the course should take?
Approximately 4 hours to internalize the concepts
How is the course structures
Section 1 - explains how to get R, R Studio, Understand environment and data for workout
Section 2 - explains the R syntax through examples
Section 3 - explains some other syntax needed for working
Section 4 - Practice Case Studies - apply your knowledge to solve business problems
Why take this course?
This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example.
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