Statistics for Data Analysis Using R

Learn in Plain and Simple Terms Descriptive and Inferential Statistics for Data Analysis Using R Programming

Description

Perform simple or complex statistical calculations using R Programming! – You don’t need to be a programmer for this šŸ™‚

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 StatisticsĀ – Mean, Mode, Median, Quartile, Range, Inter Quartile Range, Standard Deviation. (Using base R function and theĀ psych package)

Data VisualizationĀ – 3 commonly used charts: Histogram, Box and Whisker Plot and Scatter Plot (using base R commands)

ProbabilityĀ – Basic Concepts, Permutations, Combinations (Basic theory only)

Population and SamplingĀ – Basic concepts (theory only)

Probability DistributionsĀ – Normal, Binomial and Poisson Distributions (Base R functions and theĀ visualize package)

Hypothesis TestingĀ – One Sample and Two Samples – z Test, t Test, F Test, Chi Square Test

ANOVA –Ā Perform Analysis of Variance (ANOVA) step by step doing manual calculation and by using R.

Who is the target audience?
  • 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 ]
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