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R programming from Scratch & Practice Case Studies workout

Analytics / Data Science: Learn to Import, Sort, Merge, Subset, Append, Freq, Univariate, Regression, Derive variable
Instructor:
Gopal Prasad Malakar
540 students enrolled
English
Import / Enter / Viewing data and metadata in R
Conduct Frequency Distribution Analysis / Univariate Analysis in R
Create derived variables
Merge / Append data sets
Sort / Subset data sets
Learn to substring variables
Create cross tab analysis
conduct Linear Regression analysis

What is this course about?

This course helps student learn R syntax for

  • Import / Enter / Viewing data and metadata in R
  • Conduct Frequency Distribution Analysis / Univariate Analysis in R
  • Create derived variables
  • Merge / Append data sets
  • Sort / Subset data sets
  • Learn to substring variables
  • Create cross tab analysis
  • conduct Linear Regression analysis
  • Practice case studies

Terminology associated with the course

  • R syntax
  • Data Mining
  • Analytics
  • Machine Learning

Material for the course

  • 20 HD Videos
  • Excel Data sets
  • PDF of presentation
  • R code

How long the course should take?

Approximately 4 hours to internalize the concepts

How is the course structures

Section 1 – explains how to get R, R Studio, Understand environment and data for workout

Section 2 – explains the R syntax through examples

Section 3 – explains some other syntax needed for working

Section 4 – Practice Case Studies – apply your knowledge to solve business problems

Why take this course?

This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example.

Getting Started with R

1
Course Overview
2
Welcome Note
3
Section Agenda
4
Installation of R and R studio / Understand R environment
5
Understand Data for Workout

Please download associated excel files. This should be available in right side download section

6
Download files used in the course
7
Section PDF

Work with Data

1
Section Overview
2
Import Data in R

Please download the R code using right side download area. You should practice along with the course to master the syntax.

3
Direct data entry in R
4
View Data and Metadata
5
Frequency Distribution Analysis
6
Numeric Variable Analysis / Univariate Analysis
7
Merge Data sets
8
Append Data sets
9
Derive New Variables
10
Arithmetic and Logical Operators
11
Section PDF

Other R procedure

1
Section Overview
2
Filter data, Keep some fields, drop some fields, sort data and show top n rows
3
Cross Tab Analysis
4
Regression Analysis

for more detail on regression - please feel free to refer to

https://www.youtube.com/watch?v=MLMXX1yLe_Q&index=6&list=PLrJ0D2kemSl6Y1n40GWDoHCxZy7XTBI58

5
Using Substring Function
6
Section PDF

Practice Case Studies - apply your knowledge to solve business problems

1
Why these practice case studies?
2
Q 1: Find lnew in list B (B-A) stuff
3
A 1: Find new in list B (B-A) stuff
4
Q 2: Variable Substring Challenge
5
A 2: Variable Substring Challenge
6
Q 3: Investigate linear relationship between variables
7
A 3: Investigate linear relationship between variables
8
Q 4:Tabular report in presence of 2 class variable & different statistics neede
9
A 4:Tabular report in presence of 2 class variable & different statistics neede
10
Q 5s: Little help about seasonality and pair T test for next problem
11
Q 5: Pair T Test in presence of seasonality
12
A 5: Pair T Test in presence of seasonality
13
Q 6: Calculate red car percentage for different age group & run chi square test

If you need to refresh yourself about chi square test of independence, please
refer to this link https://www.youtube.com/watch?v=IrZOKSGShC8

14
A 6: Calculate red car percentage for different age group & run chi square test
15
Q 7: Calculate relative variance (Coefficient of Variance)
16
Q 7s: What is Coefficient of Variance? Why it is required?
17
A 7: Calculate relative variance (Coefficient of Variance)
18
Q 8: Work with date and create stacked chart
19
A 8: Work with date and create stacked chart
20
Q 9: Using SQL within R for agreegate function based complexities
21
A 9: Using SQL within R for agreegate function based complexities
22
Q 10: Customized complex text for each row (row wise max/min and field name)
23
A 10: Customized complex text for each row (row wise max/min and field name)

Appendix Topics (based on student's demand)

1
Word Cloud using R
  • What is word cloud?
  • What is the use of word cloud?
  • Algorithm behind word cloud
  • Demo of word cloud development using R
2
Closing Words
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

3 hours on-demand video
1 article
Full lifetime access
Access on mobile and TV
Certificate of Completion
R programming from Scratch & Practice Case Studies workout
Category:
Data Science
Teacher
Daniel W
Price:
$29.98 $23
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