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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
3.8
3.8/5
(61 reviews)
541 students
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8.9

Content

Platform: Udemy
Video: 4h 6m
Language: English
Next start: On Demand

Table of contents

Description

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.

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

Requirements

• This is a basic course
• intermediary computer skills required to install R, R studio and run commands seeing it on video

This course is for

• Those who wants to learn basic R programming with Example
• Those who know SAS and know wants to know, how to get the same analysis done in R

How much does the R programming from Scratch & Practice Case Studies workout course cost? Is it worth it?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $18.7 of 161 R courses. So this course is 20% cheaper than the average R course on Udemy.

Does the R programming from Scratch & Practice Case Studies workout course have a money back guarantee or refund policy?

YES, R programming from Scratch & Practice Case Studies workout has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the R programming from Scratch & Practice Case Studies workout course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who is the instructor? Is Gopal Prasad Malakar a SCAM or a TRUSTED instructor?

Gopal Prasad Malakar has created 17 courses that got 10,363 reviews which are generally positive. Gopal Prasad Malakar has taught 110,120 students and received a 4.2 average review out of 10,363 reviews. Depending on the information available, Gopal Prasad Malakar is a TRUSTED instructor.
Trains Industry Practices on data science / machine learning
       I am a seasoned Analytics professional with 20+ years of professional experience. I have industry experience of impactful and actionable analytics, data science, decision strategy and enterprise wise data strategy. 
I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students (or partcipants) are crystal clear on how to use the learning in their business scenarios. 
My expertise is in Credit Card Business, Scoring (econometrics based model development), score management, loss forecasting, business intelligence systems like tableau /SAS Visual Analytics, MS access based database application development,  Enterprise wide big data framework and streaming analysis. 
Please refer to my course for 
– SAS / R program details (syntax and options)
– SAS / R output deep dive
– Practical usage in Industrial situation
Browse all courses by on Coursemarks.
Platform: Udemy
Video: 4h 6m
Language: English
Next start: On Demand

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