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Applied Statistics using R with Data Processing
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 2 hours | Size: 1.03 GB



"Applied Statistics using R with Data Processing"

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Applied Statistics using R with Data Processing
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 2 hours | Size: 1.03 GB




Applied Statistics with R


What you'll learn

Applied Statistics using R

Requirements

Fundamentals R programming

Description

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.

Who this course is for:

Beginner Data Scientist or Analyst interested in R programming


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