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What is this course about?
This course helps student learn R syntax for
Terminology associated with the course
Material for the course
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
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.
Not for you? No problem.
30 day money back guarantee.
Learn on the go.
Desktop, iOS and Android.
Certificate of completion.
|Section 1: Getting Started with R|
Installation of R and R studio / Understand R environment
Please download associated excel files. This should be available in right side download section
Download files used in the course
|Section 2: Work with Data|
Please download the R code using right side download area. You should practice along with the course to master the syntax.
Direct data entry in R
View Data and Metadata
Frequency Distribution Analysis
Numeric Variable Analysis / Univariate Analysis
Merge Data sets
Append Data setsPreview
Derive New Variables
Arithmetic and Logical Operators
|Section 3: Other R procedure|
Filter data, Keep some fields, drop some fields, sort data and show top n rows
Cross Tab AnalysisPreview
Using Substring Function
I am a seasoned Analytics professional with 15+ years of professional experience. I have industry experience of impactful and actionable analytics. I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students (or partcipants) are crystal clear on how to use the learning in their business scenarios. My expertise is in Credit Card Business, Scoring (econometrics based model development), score management, loss forecasting and MS access based database application development.