Statistics for Data Analysis Using R

BY
Udemy

Mode

Online

Fees

₹ 3299

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course and certificate fees

Fees information
₹ 3,299
certificate availability

Yes

certificate providing authority

Udemy

The syllabus

Getting Started With R and R studio

  • Introduction - Section 1
  • Installing R and R Studio (Windows)
  • The First Look of R and R Studio. R you ready?
  • The First Look at the Functions in R
  • Saving the R Script File
  • Data Types in R
  • Simple Mathematical Operations
  • Download - Section 1 Notes and Codes
  • Section 1 - Practice Assignment

Bonus Section: Descriptive Statistics Theory (Lessons From My Other Course)

  • Introduction - Section 2
  • Understanding Basic Statistical Terms (Theory)
  • Descriptive Statistics (Theory)
  • Measurement of Central Tendency (Theory)
  • Measurement of Variation (Theory)
  • Download - Section 2 Slides

Descriptive Statistics Using R

  • Introduction - Section 3
  • Getting Help
  • Measurement of Central Tendency - Mean (Using R)
  • Measurement of Central Tendency - Median and Mode (Using R)
  • Measurement of Variation - Range, IQR and Standard Deviation (Using R)
  • Download - Section 3 Notes and Codes
  • Section 3 - Practice Assignment

Vectors, Factors, Lists, Matrix and Data Frames in R

  • Introduction - Section 4
  • Introduction
  • Vectors Explained
  • Factors Explained
  • Lists Explained
  • Matrix Explained
  • Data Frames Explained
  • Download - Section 4 Notes and Codes
  • Section 4 - Practice Assignment

Data Visualization

  • Introduction - Section 5
  • Your first plot in R
  • *** Scatter Plot ***
  • Add the Plot Main and Axis Lebel Text
  • Let's Draw Some Lines on the Plot
  • Change the Plot Characters (pch) from Circles to Plus Signs
  • Let's Look at Filtered Data
  • One is not enough, I want more plots on a single page!
  • Add text to the plot
  • Make plot colorful, and text bigger and bold
  • Multiple pairs of scatter diagrams - when one plot is not enough!
  • Time Series Plot
  • ***Histogram***
  • *** Box and Whisker Plot ***
  • Download - Section 5 Notes and Codes
  • Section 5 - Practice Assignment

Descriptive Statistics Re-Visited

  • Introduction - Section 6
  • Descriptive Statistics Using psych Package
  • Download - Section 6 Notes and Codes

Bonus Section - Basic Probability Theory (Lessons From My Other Course)

  • Introduction - Section 7
  • Probability Definition
  • Probability - Union and Intersection
  • Probability - The Law of Addition, Multiplication and Conditional Probability
  • Factorial, Permutations and Combinations
  • Download - Section 7 Slides

Probability Distributions

  • Introduction - Section 8
  • Central Limit Theorem (Theory)
  • Central Limit Theorem Demonstration Using R
  • *** Normal Probability Distribution (Theory) ***
  • R Functions for Normal Distribution - rnorm, pnorm, qnorm and dnorm
  • Plotting Normal Distribution Using R Functions
  • Introducting "visualize" Package
  • *** Binomial Probability Distribution (Theory) ***
  • R Functions for Binomial Distribution - rbinom, pbinom, qbinom and dbinom
  • Plotting Binomial Distribution Using R Functions
  • Binomial Distribution using Visualize Package
  • *** Poisson Distribution (Theory) ***
  • R Functions for Poisson Distribution - rpois, ppois, qpois and dpois
  • Plotting Poisson Distribution Using R Functions
  • Poisson Distribution using Visualize Package
  • Download - Section 8 Notes and Codes

Inferential Statistics - Hypothesis Tests

  • Introduction - Section 9
  • Types of Mean and Variance Tests
  • Hypothesis Testing - Types of Errors (Theory)
  • What is p value? (Theory)
  • *** Hypothesis Testing - One Sample Z Test (Theory) ***
  • One Sample z Test Using R
  • One Sample z Test using BSDA Package
  • *** One Sample t Test (Theory) ***
  • One Sample t Test Using R
  • Visualizing One Sample t Test Results using Visualize Package
  • *** One Sample Variance Test - Chi Square Test (Theory) ***
  • One Sample Variance Test Using Envstats Package
  • Chi Square Distribution for One Sample Variance Test
  • *** Two Sample Z Test (Theory) ***
  • Two Sample Z Test Using R
  • Visualizing Two Sample Z Test Using Visualize Package
  • Two Sample Z Test for Populations with Different Means
  • *** Two Sample t Test (Theory) ***
  • Two Sample t Test (Equal Variance) Using R
  • Two Sample t Test (Unequal Variance) Using R
  • *** Paired t Test (Theory) ***
  • Paired t Test Using R
  • *** Two Sample Variance Test Using F Test (Theory) ***
  • Two Sample Variance Test (F Distribution) Using R
  • Visualizing Two Sample Variance Test Results using Visualize Package
  • *** ANOVA Introduction (Theory) ***
  • Understanding the concept behind ANOVA without doing any calculation.
  • Formulas and calculations in ANOVA (Theory)
  • ANOVA Example Using Manual Calculations (Theory)
  • Analysis of Variance (ANOVA) Using R
  • Post-Hoc Test - TukeyHSD
  • *** Goodness of Fit Test (Theory) ***
  • Goodness of Fit Test Using R - Example 1
  • Goodness of Fit Test Using R - Example 2
  • *** Contingency Tables (Theory) ***
  • Contingency Table Using R - Example 1
  • Contingency Table Using R - Example 2
  • Download - Section 9 Notes and Codes

Bonus Section

  • BONUS LECTURE

Instructors

Mr Sandeep Kumar

Mr Sandeep Kumar
Quality Director
Freelancer

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