Statistics for Data Analysis Using R
- Description
- Curriculum
- FAQ
- Reviews
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?
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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)
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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)
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Sandeep has such a clear approach, pedagogic and explains everything he does. Perfect for a novice like myself. (5 stars by Hashim Al-Haboobi)
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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)
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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)
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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)
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This is a wonderful course, I do recommend it. The best Udemy course I took. (5 stars by Joao Alberto Arantes Do Amaral)
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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.
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1Introduction - Section 1Video lesson
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2Installing R and R Studio (Windows)Video lesson
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3The First Look of R and R Studio. R you ready?Video lesson
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4The First Look at the Functions in RVideo lesson
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5Saving the R Script FileVideo lesson
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6Data Types in RVideo lesson
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7Simple Mathematical OperationsVideo lesson
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8Download - Section 1 Notes and CodesText lesson
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9Section 1 - Practice AssignmentText lesson
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10Introduction - Section 2Video lesson
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11Understanding Basic Statistical Terms (Theory)Video lesson
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12Descriptive Statistics (Theory)Video lesson
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13Measurement of Central Tendency (Theory)Video lesson
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14Measurement of Variation (Theory)Video lesson
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15Download - Section 2 SlidesText lesson
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16Introduction - Section 3Video lesson
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17Getting HelpVideo lesson
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18Measurement of Central Tendency - Mean (Using R)Video lesson
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19Measurement of Central Tendency - Median and Mode (Using R)Video lesson
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20Measurement of Variation - Range, IQR and Standard Deviation (Using R)Video lesson
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21Download - Section 3 Notes and CodesText lesson
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22Section 3 - Practice AssignmentText lesson
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23Introduction - Section 4Video lesson
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24IntroductionVideo lesson
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25Vectors ExplainedVideo lesson
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26Factors ExplainedVideo lesson
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27Lists ExplainedVideo lesson
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28Matrix ExplainedVideo lesson
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29Data Frames ExplainedVideo lesson
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30Download - Section 4 Notes and CodesText lesson
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31Section 4 - Practice AssignmentText lesson
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32Introduction - Section 5Video lesson
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33Your first plot in RVideo lesson
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34*** Scatter Plot ***Video lesson
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35Add the Plot Main and Axis Lebel TextVideo lesson
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36Let's Draw Some Lines on the PlotVideo lesson
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37Change the Plot Characters (pch) from Circles to Plus SignsVideo lesson
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38Let's Look at Filtered DataVideo lesson
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39One is not enough, I want more plots on a single page!Video lesson
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40Add text to the plotVideo lesson
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41Make plot colorful, and text bigger and boldVideo lesson
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42Multiple pairs of scatter diagrams - when one plot is not enough!Video lesson
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43Time Series PlotVideo lesson
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44*** Histogram ***Video lesson
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45*** Box and Whisker Plot ***Video lesson
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46Download - Section 5 Notes and CodesText lesson
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47Section 5 - Practice AssignmentText lesson
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51Introduction - Section 7Video lesson
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52Probability DefinitionVideo lesson
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53Probability - Union and IntersectionVideo lesson
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54Probability - The Law of Addition, Multiplication and Conditional ProbabilityVideo lesson
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55Factorial, Permutations and CombinationsVideo lesson
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56Download - Section 7 SlidesText lesson
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57Introduction - Section 8Video lesson
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58Central Limit Theorem (Theory)Video lesson
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59Central Limit Theorem Demonstration Using RVideo lesson
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60*** Normal Probability Distribution (Theory) ***Video lesson
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61R Functions for Normal Distribution - rnorm, pnorm, qnorm and dnormVideo lesson
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62Plotting Normal Distribution Using R FunctionsVideo lesson
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63Introducting "visualize" PackageVideo lesson
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64*** Binomial Probability Distribution (Theory) ***Video lesson
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65R Functions for Binomial Distribution - rbinom, pbinom, qbinom and dbinomVideo lesson
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66Plotting Binomial Distribution Using R FunctionsVideo lesson
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67Binomial Distribution using Visualize PackageVideo lesson
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68*** Poisson Distribution (Theory) ***Video lesson
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69R Functions for Poisson Distribution - rpois, ppois, qpois and dpoisVideo lesson
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70Plotting Poisson Distribution Using R FunctionsVideo lesson
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71Poisson Distribution using Visualize PackageVideo lesson
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72Download - Section 8 Notes and CodesText lesson