Crash Course - R programming from Scratch & workout
Analytics / Data Science: Learn to Import, Sort, Merge, Subset, Append, Freq, Univariate, Regression, Derive variable
Ratings 3.72 / 5.00
What You Will Learn!
- 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
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
10 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
There are 10 workouts included in the course, which will help users to master the concepts of R programming from industrial usage perspective. Students should try these practices on their own before jumping to solution provided.
Why take this course?
This course ensures quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example.
Who Should Attend!
- Those who wants to learn basic R programming with Example
- Those who know SAS and know wants to know, how to get the same analysis done in R
