Statistics for Data Analysis Using R

Online Course. Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science.

What you’ll learn?

  • You will first learn the basic statistical concepts, followed by application of these concepts using R Studio. This course is a nice combination of theory and practice.
  • Descriptive Statistics – Mean, Mode, Median, Skew, Kurtosis.
  • Inferential Statistics – One and two sample z, t, Chi Square, F Tests, ANOVA, TukeyHSD and more.
  • Probability Distributions – Normal, Binomial and Poisson.
  • You will learn R programming from the beginning level.

Requirements

  • Basic school level mathematics will be helpful.
  • You will need to download and install R and R Studio on your PC or laptop. Both R and R Studio are for Free Software.
 

Description

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.

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.

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.

See more Statistics Courses 

See also...

Machine Learning, Data Science and Deep Learning with Python online course for health economists

Machine Learning, Data Science and Deep Learning with Python

Online Course. Complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural ... Read more

Data Analysis with Pandas and Python online course

Data Analysis with Pandas and Python

Online Course. Analyze data quickly and easily with Python’s powerful pandas library! All datasets included ... Read more

Presentation training for a health economist

Improve Your Presentation Skills

Online Course. Improve your public speaking skills by using proven branding techniques to make your ... Read more

Básico ao Avançado - O curso Completo de Macros e VBA Excel online course for health economists

Básico ao Avançado – O curso Completo de Macros e VBA Excel

Online Course. Aprenda automatizar 100% qualquer tarefa e criar ferramentas e apps incríveis: O curso ... Read more

The Complete Google Sheets Course: Beginner to Advanced online course for health economists

The Complete Google Sheets Course: Beginner to Advanced!

A crash course in basic and advanced functions: Learn VLOOKUP, QUERY & MORE! Use many ... Read more

Why health economists should learn R to improve their prospects in the job market?

Why learning R will improve your career prospects as a health economist?

Are you a health economist looking to elevate your career prospects, here are some reasons ... Read more

Categories

Tags