Statistics for Data Analysis Using R (Udemy.com)

Learn Programming in R & R Studio Descriptive, Inferential Statistics Plots for Data Visualization Data Science

( 241 Reviews )

Created by: Sandeep Kumar

Produced in 2021

What you will 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.

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 92 / 100

Course 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 TestANOVA - 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.

Time: 12.5h

Instructor Details

Sandeep Kumar

4.6 Rating
241 Reviews

PMI-PMP, IRCA Registered Lead Auditor, ASQ - CSSBB, CQA, CQE, CMQ/OE, IIA - CIA
Sandeep Kumar has more than35 years ofQuality Management experience. He has worked as Quality Manager/Director on a number of projects, including Power, Oil and Gas and Infrastructure projects.
In addition, he provides consulting services to implement Lean Six Sigma to improve performance.
His areas of specializations include Quality Assurance, ISO 9001:2015, Lean, Six Sigma, Risk Management, QMS Audits, Supplier Quality Surveillance, Supplier Pre-qualification, Construction Quality, Mechanical Inspection and Quality Training.

Professional Qualifications:

His professional qualification/certifications include:
ASQ-CSSBB, Certified Six Sigma Black Belt

ASQ-CMQ/OE Certified Manager of Quality/Organizational Excellence

PMI-PMPCertified Project Management Professional
IRCA Registered Lead Auditor (QMS-2015)
IIA-CIA Certified Internal Auditor

ASQ-CSSGB, Certified Six Sigma Green Belt
ASQ-CQA Certified Quality Auditor
ASQ-CQE Certified Quality Engineer

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Reviews

4.6

241 total reviews

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By Shaziya on 11/14/2020

yes these are the awesome videos.. the host is very good and helps to understand throughly

By Lawrence E. Adler on 11/14/2020

The course starts with no presumed knowledge of R and takes you straight through the basic statistics, ANOVA, etc. He also acquaints you with some useful packages not always listed in books.

By Francisco Rocha on 10/9/2020

Basic R commands are well explained. Mixing R with statistics theory is often poor, some concepts could be better explained. Solutions for exercises are well explained. The last chapter lacks pace and needs improvement in the exercises section. Overall a good course to get started in R and review/learn statistics

By Thach Phan on 10/8/2020

It's been great. I've been able to learn a lot both for statistics and how to do so in R.

By Kethlois Meikle on 10/2/2020

The instructor explains everything in very simple terms so far.I am enjoying the materials.

By Robert J. Ward on 9/4/2020

The course is a very thorough refresher; so far, it has been a very logical progression through the various topics. With respect, I believe the Professor could be a little less repetitious in his lectures. This repeating may be a function of distance learning where students may not ask questions in real-time. rjw

By Roberto Arriaga on 9/3/2020

El curso es extenso, claro y fcil de seguir

By Rajan Mehla on 9/2/2020

By Brandon Foltz on 8/22/2020

Very good course for those seeking to pair intro stats with R. Very clear explanations with examples. Should have covered basic linear regression however to be complete. But I knew that going in. Recommend!

By Salini on 8/13/2020