R programming from Scratch & Practice Case Studies workout

R programming from Scratch & Practice Case Studies workout

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.

Analytics / Data Science: Learn to Import, Sort, Merge, Subset, Append, Freq, Univariate, Regression, Derive variable

Url: View Details

What you will learn

• Import / Enter / Viewing data and metadata in R
• Conduct Frequency Distribution Analysis / Univariate Analysis in R
• Create derived variables

Rating: 3.95

Level: All Levels

Duration: 4 hours

Instructor: Gopal Prasad Malakar