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...

Statistics for Data Analysis Using Excel 2016 Online Course for health economists

Statistics for Data Analysis Using Excel

Online Course. Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples ... Read more

Online Course by PwC - Data Visualization with Advanced Excel

Data Visualization with Advanced Excel

Online Course by PwC. You will get hands-on instruction of advanced Excel 2013 functions. You’ll ... 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

Taming Big Data with Apache Spark and Python

Big Data with Apache Spark and Python – Hands-On Online Course

Dive right in with 15+ hands-on examples of analyzing large data sets with Apache Spark, ... Read more

Excel VBA: Hyper-disambiguated Excel VBA Programming Part 2 Online Course for Health Economists

Hyper-Disambiguated Excel VBA Programming Part 2

Online Course. Master Excel VBA event programming; move beyond simple Excel VBA macros. What you’ll ... Read more

Evaluations of AI Applications in Healthcare online course for health economists

Evaluations of AI Applications in Healthcare

Online Course. Learn the principles of AI deployment in healthcare and the framework used to ... Read more

Categories

Tags