Statistics for Data Analysis Using R
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 Curriculum
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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.

1Introduction  Section 1Video lesson

2Installing R and R Studio (Windows)Video lesson

3The First Look of R and R Studio. R you ready?Video lesson

4The First Look at the Functions in RVideo lesson

5Saving the R Script FileVideo lesson

6Data Types in RVideo lesson

7Simple Mathematical OperationsVideo lesson

8Download  Section 1 Notes and CodesText lesson

9Section 1  Practice AssignmentText lesson

10Introduction  Section 2Video lesson

11Understanding Basic Statistical Terms (Theory)Video lesson

12Descriptive Statistics (Theory)Video lesson

13Measurement of Central Tendency (Theory)Video lesson

14Measurement of Variation (Theory)Video lesson

15Download  Section 2 SlidesText lesson

16Introduction  Section 3Video lesson

17Getting HelpVideo lesson

18Measurement of Central Tendency  Mean (Using R)Video lesson

19Measurement of Central Tendency  Median and Mode (Using R)Video lesson

20Measurement of Variation  Range, IQR and Standard Deviation (Using R)Video lesson

21Download  Section 3 Notes and CodesText lesson

22Section 3  Practice AssignmentText lesson

23Introduction  Section 4Video lesson

24IntroductionVideo lesson

25Vectors ExplainedVideo lesson

26Factors ExplainedVideo lesson

27Lists ExplainedVideo lesson

28Matrix ExplainedVideo lesson

29Data Frames ExplainedVideo lesson

30Download  Section 4 Notes and CodesText lesson

31Section 4  Practice AssignmentText lesson

32Introduction  Section 5Video lesson

33Your first plot in RVideo lesson

34*** Scatter Plot ***Video lesson

35Add the Plot Main and Axis Lebel TextVideo lesson

36Let's Draw Some Lines on the PlotVideo lesson

37Change the Plot Characters (pch) from Circles to Plus SignsVideo lesson

38Let's Look at Filtered DataVideo lesson

39One is not enough, I want more plots on a single page!Video lesson

40Add text to the plotVideo lesson

41Make plot colorful, and text bigger and boldVideo lesson

42Multiple pairs of scatter diagrams  when one plot is not enough!Video lesson

43Time Series PlotVideo lesson

44*** Histogram ***Video lesson

45*** Box and Whisker Plot ***Video lesson

46Download  Section 5 Notes and CodesText lesson

47Section 5  Practice AssignmentText lesson

51Introduction  Section 7Video lesson

52Probability DefinitionVideo lesson

53Probability  Union and IntersectionVideo lesson

54Probability  The Law of Addition, Multiplication and Conditional ProbabilityVideo lesson

55Factorial, Permutations and CombinationsVideo lesson

56Download  Section 7 SlidesText lesson

57Introduction  Section 8Video lesson

58Central Limit Theorem (Theory)Video lesson

59Central Limit Theorem Demonstration Using RVideo lesson

60*** Normal Probability Distribution (Theory) ***Video lesson

61R Functions for Normal Distribution  rnorm, pnorm, qnorm and dnormVideo lesson

62Plotting Normal Distribution Using R FunctionsVideo lesson

63Introducting "visualize" PackageVideo lesson

64*** Binomial Probability Distribution (Theory) ***Video lesson

65R Functions for Binomial Distribution  rbinom, pbinom, qbinom and dbinomVideo lesson

66Plotting Binomial Distribution Using R FunctionsVideo lesson

67Binomial Distribution using Visualize PackageVideo lesson

68*** Poisson Distribution (Theory) ***Video lesson

69R Functions for Poisson Distribution  rpois, ppois, qpois and dpoisVideo lesson

70Plotting Poisson Distribution Using R FunctionsVideo lesson

71Poisson Distribution using Visualize PackageVideo lesson

72Download  Section 8 Notes and CodesText lesson