Crash Course - R programming from Scratch & workout

Analytics / Data Science: Learn to Import, Sort, Merge, Subset, Append, Freq, Univariate, Regression, Derive variable

3.95 (62 reviews)

Udemy

platform

English

language

Data Science

What you will learn

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

Why take this course?

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
10 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

There are 10 workouts included in the course, which will help users to master the concepts of R programming from industrial usage perspective. Students should try these practices on their own before jumping to solution provided.

Why take this course?

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

Screenshots

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Reviews

Rajdeep

December 30, 2019

Mr. Gopal Prasad Malakar is a legend. His specialty is in bringing complex theories down into simple digestible concepts for non-stat-background people like me. I have done Stat with Excel by the same author, and hence I am into his next course.

Rajat

July 26, 2019

This is really effective course. Lot of examples have been covered which are very helpful. It would great if an advanced course on R can also be published. Thanks Rajat Chowdhury

Glynda

November 7, 2018

I'm not even finished with the course but I'm so impressed with the Instructor. He is thorough and has a good speaking voice. I love the content of the material and the diagrams. Best of all he provided the code, database files and a lot more resources. I know I'm going to love finishing the rest of the course. Even the course transcripts were cleaned up. Most Instructors, especially those who speak in foreign dialect produce horrible transcripts. This Instructor uses good English and appears to have cleaned the transcripts himself or maybe it's because his English was so good. Either way, I'm impressed. I highly recommend this Instructor and I'll be looking for his name to sign up for more of his courses.

Agnivesh

April 15, 2018

Gopal is an excellent instructor. I recommend this course to anyone who wants to learn R-programming from scratch.

Irshad

November 9, 2016

I completed this course without any doubt/question. All topics were well explained. The methodology of teaching is good. Instructor provided the required the information before running each command in R interface and then explained the result accordingly, this is what i liked very much. Thank you!!

Kathleen

July 22, 2016

realized that I Needed a quick refresher after starting the Decision Tree course. So I took a step back.

Douglas

March 4, 2016

Early topics within the course were well explained and useful. Areas to improve: Too fast paced. Attempts to cover too many topics within the time set. Set exercises would have been beneficial via code scripts.

May 19, 2015

I had no prior experience of R but this beginner's course inspired me to step forward for the next level. Well demonstration with some practical examples.

Naval

March 9, 2015

This course provides an adequate coverage to all the topics which a data miner should be learning to start with R. Post completing this course practical data mining assignments can be handled in R (taking the PDF of this course as a reference book)

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