Home » Blog » Statistics for Data Analysis Using R

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...

Excel Visual Basic Course for Health Economists

Excel VBA

Online Course. Bestselling online Excel Visual Basic course for experienced Excel users who want to ... Read more

Microsoft Excel - Excel from Beginner to Advanced Online Course for Health Economists

Microsoft Excel – Excel from Beginner to Advanced

Online Course. Excel with this A-Z Microsoft Excel Course. Microsoft Excel 2010, 2013, 2016, Excel ... Read more

Pivot Tables, Power Pivot Tables, Power Query & Power BI online course for health economists

Pivot Tables, Power Pivot Tables, Power Query & Power BI

Online Course. 5 Course Excel Bundle: Microsoft Excel, Pivot Tables, Power Pivot Tables, Power Query ... Read more

Project Management for career development online course for health economists

Project Management for Career Development

Online Course. This specialization will help you build, develop and hone the essential skills needed ... Read more

Introduction to Stata - Hands on! Online Course for Health Economists

Introduction to Stata – Hands-on!

Online Course. All you need to know to start using Stata to analyze your data. ... Read more

Writing in the Sciences Online Training Course for health economists

Writing in the Sciences

Online Course. We, health economists, are “number” persons. Most of us don’t like writing. Yet, ... Read more

Categories

Tags