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R is the open source programing language which is used for the analytic purpose. R can be used for several of statistical and machine learning purpose such as linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, and graphical techniques, and is highly extensible.

Course Curriculum

Session 1 - Introduction to R
Handout – Introduction to R 00:00:00
1.1 Getting Started in R FREE 00:00:00
1.2 R Environment FREE 00:00:00
1.3 R Packages 00:00:00
1.4 R Data Types Vectors 00:00:00
1.5 R Dataframes 00:00:00
1.6 List in R 00:00:00
1.7 Factor and Matrices 00:00:00
1.8 R History and Scripts 00:00:00
1.9 R Functions 00:00:00
1.10 Errors 00:00:00
R quiz unit 1 Unlimited
Session 2 - Data Handling in R
Handout – Data Handling in R 00:00:00
2.1 Data handling introduction FREE 00:00:00
2.2 Importing the Datasets FREE 00:00:00
2.3 Checklist 00:00:00
2.4 Subsetting the Data 00:00:00
2.5 Subsetting Variable Condition 00:00:00
2.6 Calculated Fields _ ifelse 00:00:00
2.7 Sorting and Duplicates 00:00:00
2.8 Joining and Merging 00:00:00
2.9 Exporting the Data 00:00:00
R Quiz Unit 2 Unlimited
Session 3 - Basic Descriptive Statistics & Reporting
Handout – Basic Descriptive Statistics & Reporting 00:00:00
3.1 Introduction and Sampling FREE 00:00:00
3.2 Descriptive Statistics FREE 00:00:00
3.3 Percentiles and Quartiles 00:00:00
3.4 Box Plots 00:00:00
3.5 Creating Graphs and Conclusion 00:00:00
R Quiz Unit 3 Unlimited
Session 4 - Data Cleaning and Treatement
Handout – Data Cleaning and Treatment 00:00:00
4.1 Data Cleaning Intro and Model Building Cycle FREE 00:00:00
4.2 Model Building Cycle FREE 00:00:00
4.3 Data Cleaning Case Study 00:00:00
4.4 CS lab Step1 Basic Content of Dataset 00:00:00
4.5 Variable level Exploration Catagorical 00:00:00
4.6 Reading Data Dictionary 00:00:00
4.7 Step2 lab Catagorical Variable Exploration 00:00:00
4.8 Step3 lab Variable level Exploration – Continuous 00:00:00
4.9 Data Cleaning and Treatments 00:00:00
4.10 Step 4 Treatment – Scenario1 00:00:00
4.11 Step 4 Treatment – Scenario 2 00:00:00
4.12 Data Cleaning – Scenario 3 00:00:00
4.13 Some Other Variables 00:00:00
4.14 Conclusion 00:00:00
R Quiz Unit 4 Unlimited
Venkat's sessions
Getting started with R 00:00:00
Data Handling on R 00:00:00
Basic Statistics in R 00:00:00

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