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, tTest, F Test, ChiSquare 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 AlHaboobi)

Very clear explanation. Coming from a nontechnical 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 moneyback guarantee. If you are not satisfied with the course, get your money back.
I hope to see you in the course.
2. Bonus Section: Descriptive Statistics Theory (lessons from my other course)
 1Introduction  Section 1
 2Installing R and R Studio (Windows)
 3The First Look of R and R Studio. R you ready?
 4The First Look at the Functions in R
 5Saving the R Script File
 6Data Types in R
 7Simple Mathematical Operations
 8Download  Section 1 Notes and Codes
 9Section 1  Practice Assignment
3. Descriptive Statistics Using R
4. Vectors, Factors, Lists, Matrix and Data Frames in R
 16Introduction  Section 3
 17Getting Help
 18Measurement of Central Tendency  Mean (Using R)
 19Measurement of Central Tendency  Median and Mode (Using R)
 20Measurement of Variation  Range, IQR and Standard Deviation (Using R)
 21Download  Section 3 Notes and Codes
 22Section 3  Practice Assignment
5. Data Visualization
6. Descriptive Statistics Revisited
 32Introduction  Section 5
 33Your first plot in R
 34*** Scatter Plot ***
 35Add the Plot Main and Axis Lebel Text
 36Let's Draw Some Lines on the Plot
 37Change the Plot Characters (pch) from Circles to Plus Signs
 38Let's Look at Filtered Data
 39One is not enough, I want more plots on a single page!
 40Add text to the plot
 41Make plot colorful, and text bigger and bold
 42Multiple pairs of scatter diagrams  when one plot is not enough!
 43Time Series Plot
 44*** Histogram ***
 45*** Box and Whisker Plot ***
 46Download  Section 5 Notes and Codes
 47Section 5  Practice Assignment
7. Bonus Section: Basic Probability Theory (lessons from my other course)
8. Probability Distributions
9. Inferential Statistics  Hypothesis Tests
 57Introduction  Section 8
 58Central Limit Theorem (Theory)
 59Central Limit Theorem Demonstration Using R
 60*** Normal Probability Distribution (Theory) ***
 61R Functions for Normal Distribution  rnorm, pnorm, qnorm and dnorm
 62Plotting Normal Distribution Using R Functions
 63Introducting "visualize" Package
 64*** Binomial Probability Distribution (Theory) ***
 65R Functions for Binomial Distribution  rbinom, pbinom, qbinom and dbinom
 66Plotting Binomial Distribution Using R Functions
 67Binomial Distribution using Visualize Package
 68*** Poisson Distribution (Theory) ***
 69R Functions for Poisson Distribution  rpois, ppois, qpois and dpois
 70Plotting Poisson Distribution Using R Functions
 71Poisson Distribution using Visualize Package
 72Download  Section 8 Notes and Codes