Typing on a Computer

Data Analysis Using R Software

This course introduces participants to R programming for statistical analysis and research.  The goal of this course is to build familiarity with the basic R toolkit for statistical analysis and graphics.

Course Objectives

After completing this course, participants will be able to:

  • Use R for managing and manipulating data

  • Explore simple programming in R

  • Become familiar with some of R's most commonly used statistical procedures

  • Apply knowledge of the following data mining techniques for complex data sets using R

    • Multivariate Statistics

    • Regression

    • ANOVA

    • Cluster Analysis

    • GLM including Logistic Regression

Graphic Spiral

Module 1:  Introduction to R

Module 2:  Descriptive Statistics in R

Module 3:  Data Mining & Statistical Analysis in R

Module 4:  Case Study – Big Data

Typing on a Computer

Data Analysis Using Python

This course introduces participants to R programming for statistical analysis and research.  The goal of this course is to build familiarity with the basic R toolkit for statistical analysis and graphics.

Course Objectives

After completing this course, participants will be able to:

  • Use R for managing and manipulating data

  • Explore simple programming in R

  • Become familiar with some of R's most commonly used statistical procedures

  • Apply knowledge of the following data mining techniques for complex data sets using R

    • Multivariate Statistics

    • Regression

    • ANOVA

    • Cluster Analysis

    • GLM including Logistic Regression

Graphic Spiral

Module 1:  Introduction to R

Module 2:  Descriptive Statistics in R

Module 3:  Data Mining & Statistical Analysis in R

Module 4:  Case Study – Big Data