Learn statistics, and apply these concepts in your work place using R.
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| Statistics for Data Analysis 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.
Who this course is for:
- 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.
- Anyone who thinks Statistics is confusing and wants to learn it in plain and simple language.
- Get the course
