Statistics for Data Analysis Using R

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Обучение платное
Сертификация бесплатная
12.5 часов курса
О курсе

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.

1. Getting Started with R and R Studio
Introduction - Section 1
Installing R and R Studio (Windows)
The First Look of R and R Studio. R you ready?
The First Look at the Functions in R
Saving the R Script File
Data Types in R
Simple Mathematical Operations
Download - Section 1 Notes and Codes
Section 1 - Practice Assignment
2. Bonus Section: Descriptive Statistics Theory (lessons from my other course)
Introduction - Section 2
  • 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.
Что Вы изучите?
  • 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.
Sandeep Kumar ­
Sandeep Kumar ­
Experienced Quality Manager • Six Sigma Coach

PMI-PMP, IRCA Registered Lead Auditor, ASQ - CSSBB, CQA, CQE, CMQ/OE, IIA - CIA

Sandeep Kumar has more than 30 years of Quality Management experience. He has worked as Quality Manager on a number of projects including Power, Oil and Gas and Infrastructure projects.

His areas of specializations include Quality Assurance, ISO 9001:2015, Six Sigma, Risk Management, QMS Audits, Supplier Quality Surveillance, Supplier Pre-qualification, Construction Quality, Welding, NDT, 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-PMP Certified 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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