Applied Statistics using R with Data Processing - Udemy
This is the bite size course to learn R Programming for Applied Statistics. In CRISP DM data mining process, Applied Statistics is at the Data Understanding stage. This course also covers Data processing, which is at the Data Preparation Stage.
You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course. You will learn R Programming for applied statistics and you will be able
You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using R certificate :
- Create Your Calculator: Learn R Programming Basics Fast (R Basics)
- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)
- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)
- Machine Learning with R (Modeling and Evaluation)
Content
Getting Started
Getting Started 2
Getting Started 3
Data Mining Process
Download Data set
Read Data set
Mode
Median
Mean
Range
Range 2
Range 3
IQR
Qunatile
Population Variance
Sample Variance
Variance
Standard Deviation
Normal Distribution
Skewness and Kurtosis
Summary() and Str()
Correlation
Covariance
Inferential Statistics Tests
One Sample T Test
Two Sample Unpaired T Test
Two Sample Unpaired T Test (Variance not Equal)
Two Sample Paired T Test
Chi Square Test
One Way ANOVA
Two Way ANOVA
MANOVA
Simple Linear Regression
Multiple LInear Regression
Data Processing: Select Variables
Data Processing: Sort Data
Data Processing: Filter Data
Data Processing: Remove Missing Values and Remove Duplicates
References:
This course is actually based on the Learn R for Applied Statistics book I have published at Apress.