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Statistics for Data Analysis Using R (Udemy.com)

Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

Created by: Sandeep Kumar

Last updated June 2026

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What you will learn

  • Learn R programming from the ground up, starting from the basics and progressing to advanced data analysis techniques.
  • Learn the basic statistical concepts first, followed by practical application using R Studio, combining theory and practice for effective learning.
  • Master descriptive statistics, including mean, mode, median, skewness, and kurtosis, and how to apply these concepts to your data analysis.
  • Understand and perform inferential statistics such as one and two-sample z-tests, t-tests, Chi-Square tests, F-tests, ANOVA, and TukeyHSD, and more.
  • Explore probability distributions, including normal, binomial, and Poisson, and their applications in data analysis.
  • Develop the skills to perform data manipulation, visualization, and statistical analysis using R.
  • Apply statistical concepts in real-world scenarios, enhancing your problem-solving abilities and decision-making skills.

How it compares

Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:

  • Rating4.5 out of 5higher than 49% of them
  • Reviews2,728#77 of 372 by number of reviews
  • Length12.4 hourslonger than 82% of them
  • Last updatedJune 2026more recently than 75% of them

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Course Description

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)


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I hope to see you in the course.

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Instructor Details

Sandeep Kumar

I am Sandeep Kumar, founder of Quality Gurus Inc. and creator of multiple quality management, Six Sigma, Lean, auditing, and ASQ exam preparation courses. Over the years, I have helped more than 300,000 professionals build practical quality skills and prepare for professional certifications. This community is designed for quality professionals, Six Sigma practitioners, auditors, engineers, supervisors, managers, and anyone serious about career growth in quality. Inside the community, members can learn practical tools, ask questions, discuss real workplace challenges, prepare for ASQ exams, and connect with others on the same professional journey. My teaching style is simple, practical, and focused on helping you understand concepts clearly so you can apply them with confidence. Whether you are preparing for CQE, CQA, CMQ/OE, CSSGB, CSSBB, CQIA, CCQM, CSQP or another quality-related certification, this community will help you stay focused, motivated, and supported.



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Reviews

4.5

2,728 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Angelina Ly on 8/18/2026

Needs some updates on downloading the R software. There are newer models and they should specify if using the updated model will change the answers to the tests. A quick note like "Please use model specified in video for most accurate results" or something similar. Overall, the content is similar to current statistics curriculum and works with the most current version as of now (4.6.1).

By sachin bandarkar on 1/31/2026

With practice scenario

By Val Bernhardt on 1/19/2026

I feel like I have a much better understanding of statistics and how R can help with data analysis. Everything was explained really well and the examples were easy to follow. Using the datasets provided by R was also helpful, so if I need more practice I know where to find sample data.

By Diego Batista on 12/24/2021

Great course, great didatics! I highly recommend this course for those in need of someone guiding them step-by-step into the logical and calculation of every statistics available in this course.

By Shaziya on 11/14/2020

yes these are the awesome videos.. the host is very good and helps to understand throughly

By Lawrence E. Adler on 11/14/2020

The course starts with no presumed knowledge of R and takes you straight through the basic statistics, ANOVA, etc. He also acquaints you with some useful packages not always listed in books.

By Francisco Rocha on 10/9/2020

Basic R commands are well explained. Mixing R with statistics theory is often poor, some concepts could be better explained. Solutions for exercises are well explained. The last chapter lacks pace and needs improvement in the exercises section. Overall a good course to get started in R and review/learn statistics

By Thach Phan on 10/8/2020

It's been great. I've been able to learn a lot both for statistics and how to do so in R.

By Kethlois Meikle on 10/2/2020

The instructor explains everything in very simple terms so far.I am enjoying the materials.

By Robert J. Ward on 9/4/2020

The course is a very thorough refresher; so far, it has been a very logical progression through the various topics. With respect, I believe the Professor could be a little less repetitious in his lectures. This repeating may be a function of distance learning where students may not ask questions in real-time. rjw

By Roberto Arriaga on 9/3/2020

El curso es extenso, claro y fcil de seguir

By Rajan Mehla on 9/2/2020

G

Showing 12 of 246 reviews

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Overall Score : 90 / 100