Learn in Plain and Simple Terms Descriptive and Inferential Statistics for Data Analysis Using R Programming
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 work place using R.
The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concept. 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.
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 manual calculation and by using R.
- Anyone who want to use statistics to make fact based decisions.
- Anyone who wants to learn R and R Studio for career in data science
Full Details : [ Take Course Now ]