Classbaze

Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Statistics for Data Analysis Using R

Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science
4.5
4.5/5
(1,728 reviews)
9,356 students
Created by

9.6

Classbaze Grade®

9.3

Freshness

9.1

Popularity

9.8

Material

Learn Programming in R & R Studio • Descriptive
Platform: Udemy
Video: 12h 25m
Language: English
Next start: On Demand

Best R classes:

Classbaze Rating

Classbaze Grade®

9.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.3 / 10
This course was last updated on 9/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.1 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.8 / 10
Video Score: 9.5 / 10
The course includes 12h 25m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 00 minutes of 161 R courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

14 articles.
36 resources.
0 exercise.
0 test.

In this page

About the course

Perform simple or complex statistical calculations using R Programming! – You don’t need to be a programmer for this 🙂
Learn statistics, and apply these concepts in your workplace using R.
The course will teach you the basic concepts related to Statistics and Data Analysis,  and help you in applying these concepts. Various examples and data sets are used to explain the application.
I will explain the basic theory first, and then I will show you how to use R to perform these calculations.
The following areas of statistics are covered:
Descriptive Statistics – Mean, Mode, Median, Quartile, Range, Inter Quartile Range, Standard Deviation. (Using base R function and the psych package)
Data Visualization – 3 commonly used charts: Histogram, Box and Whisker Plot and Scatter Plot (using base R commands)
Probability – Basic Concepts, Permutations, Combinations (Basic theory only)
Population and Sampling – Basic concepts (theory only)
Probability Distributions – Normal, Binomial  and Poisson Distributions (Base R functions and the visualize package)
Hypothesis Testing – One Sample and Two Samples – z Test, t-Test, F Test, Chi-Square Test
ANOVA – Perform Analysis of Variance (ANOVA) step by step doing the manual calculation and by using R.

What are other students saying about this course?
•This course is a perfect mix of theory and practice. I highly recommend it for those who want to not only get good with R, but to also become proficient in statistics. (5 stars by Aaron Verive)
•You get both the “how” and “why” for both the statistics and R programming. I’m really happy with this course. (5 stars by Elizabeth Crook)
•Sandeep has such a clear approach, pedagogic and explains everything he does. Perfect for a novice like myself. (5 stars by Hashim Al-Haboobi)
•Very clear explanation. Coming from a non-technical background, it is immensely helpful that Prof. Sandeep Kumar is explaining all the minor details to prevent any scope for confusion. (5 stars by Ann Mary Biju)
•I had a limited background in R and statistics going into this course. I feel like this gave me the perfect foundation to progress to more complex topics in both of those areas. I’m very happy I took this course. (5 stars by Thach Phan)
•Dr. Kumar is a fantastic teacher who takes you step by step. Can’t say enough about his approach. Detailed. Not only clear descriptions of statistics but you will learn many details that make R easier to use and understand. (5 stars by James Reynolds)
•This is a wonderful course, I do recommend it. The best Udemy course I took. (5 stars by Joao Alberto Arantes Do Amaral)
•The course exceeded my expectations and i would like to thank the instructor Mr Sandeep Kumar for creating such an amazing course. The best thing about this course is the Theory incorporated that helps you understand what you are going to code in R. I have really learnt a lot. If you a looking for the best course for R then look no further because this is the best there can be. (5 stars by Kipchumba Brian)

What are you waiting for?
This course comes with Udemy’s 30 days money-back guarantee. If you are not satisfied with the course, get your money back.
I hope to see you in the course.

What can you learn from this course?

✓ You will first learn the basic statistical concepts, followed by application of these concepts using R Studio. This course is a nice combination of theory and practice.
✓ Descriptive Statistics – Mean, Mode, Median, Skew, Kurtosis
✓ Inferential Statistics – One and two sample z, t, Chi Square, F Tests, ANOVA, TukeyHSD and more.
✓ Probability Distributions – Normal, Binomial and Poisson
✓ You will learn R programming from the beginning level.

What you need to start the course?

• Basic school level mathematics will be helpful.
• You will need to download and install R and R Studio on your PC or laptop. Both R and R Studio are for Free Software.

Who is this course is made for?

• Anyone who want to use statistics to make fact based decisions.
• Anyone who wants to learn R and R Studio for career in data science.
• Anyone who thinks Statistics is confusing and wants to learn it in plain and simple language.

Are there coupons or discounts for Statistics for Data Analysis Using R ? What is the current price?

The course costs $16.99. And currently there is a 82% discount on the original price of the course, which was $94.99. So you save $78 if you enroll the course now.
The average price is $18.7 of 161 R courses. So this course is 9% cheaper than the average R course on Udemy.

Will I be refunded if I'm not satisfied with the Statistics for Data Analysis Using R course?

YES, Statistics for Data Analysis Using R has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Statistics for Data Analysis Using R course, but there is a $78 discount from the original price ($94.99). So the current price is just $16.99.

Who will teach this course? Can I trust Sandeep Kumar ­?

Sandeep Kumar ­ has created 32 courses that got 44,225 reviews which are generally positive. Sandeep Kumar ­ has taught 206,732 students and received a 4.5 average review out of 44,225 reviews. Depending on the information available, we think that Sandeep Kumar ­ is an instructor that you can trust.
Experienced Quality Director • Six Sigma Coach • Consultant
ASQ ConnEx Expert, PMI-PMP, IRCA Registered Lead Auditor, ASQ – CSSBB, CQA, CQE, CMQ/OE, IIA – CIA  
Sandeep Kumar has more than 35 years of Quality Management experience. He has worked as Quality Director on a number of projects, including Power, Oil and Gas and Infrastructure projects.
In addition, he provides coaching and consulting services to implement Lean Six Sigma to improve performance. 
After successful completion of ASQ vetting, Sandeep Kumar has been designated as a genuine and authorized ASQConnEx expert. ASQConnEx is an education delivery system and network that vets, designates, and connects quality subject matter experts with organizations to advance their excellence journey.
His areas of specialization include Quality Assurance, ISO 9001:2015, Lean, Six Sigma, Risk Management, QMS Audits, Supplier Quality Surveillance, Supplier Pre-qualification, Construction Quality, Mechanical Inspection and Quality Training.
Professional Qualifications:
His professional qualifications/certifications include: 
• Authorized ASQ ConnEx Expert
• ASQ-CSSBB, Certified Six Sigma Black Belt• ASQ-CMQ/OE Certified Manager of Quality/Organizational Excellence• PMI-PMP Certified Project Management Professional
• IRCA Registered Lead Auditor (QMS-2015)
• IIA-CIA Certified Internal Auditor• ASQ-CSSGB, Certified Six Sigma Green Belt
• ASQ-CQA Certified Quality Auditor
• ASQ-CQE Certified Quality Engineer
• ASQ-CSQP Certified Supplier Quality Professional


   
Browse all courses by on Classbaze.

9.6

Classbaze Grade®

9.3

Freshness

9.1

Popularity

9.8

Material

Platform: Udemy
Video: 12h 25m
Language: English
Next start: On Demand

Classbaze recommendations for you