R programming from Scratch & Practice Case Studies workout
What you'll 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
Requirements
- This is a basic course
- intermediary computer skills required to install R, R studio and run commands seeing it on video
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
- 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.
Who this course is for:
- 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
Instructor
![Gopal Prasad Malakar](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.2 Instructor Rating
- 11,020 Reviews
- 113,055 Students
- 17 Courses
I am a seasoned Analytics professional with 20+ years of professional experience. I have industry experience of impactful and actionable analytics, data science, decision strategy and enterprise wise data strategy.
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, business intelligence systems like tableau /SAS Visual Analytics, MS access based database application development, Enterprise wide big data framework and streaming analysis.
Please refer to my course for
- SAS / R program details (syntax and options)
- SAS / R output deep dive
- Practical usage in Industrial situation