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
-
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
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
-
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