Statistical Data Analysis using R

By Prof.Athar Ali Khan | Aligarh Muslim University

Learners enrolled: 1621 | Exam registration: 346

ABOUT THE COURSE:

The course entitled "Statistical Data Analysis with R" is a foundational course in statistical data analysis using R. It is beneficial for those who seeks career in data analytics or deals with data in academics or industry. This course covers all the important aspects of data analysis and the background statistical concepts in thorough manner. At the end of the course student will be able to deal with data organization, visualization, analysis, modeling of data and their presentation as dynamic document.

INTENDED AUDIENCE: UG/PG students of all discipline, teachers, researchers and industry professionals.

INDUSTRY SUPPORT: All companies that deals with data analysis

Summary

Course Status :	Ongoing
Course Type :	Elective
Language for course content :	English
Duration :	12 weeks
Category :	Mathematics
Credit Points :	4
Level :	Undergraduate/Postgraduate
Start Date :	20 Jan 2025
End Date :	11 Apr 2025
Enrollment Ends :	03 Feb 2025
Exam Registration Ends :	28 Feb 2025
Exam Date :	25 Apr 2025 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1:

Installation of R
Introduction to R
Installation and Introduction to R-studio and R-markdown.
Creation of vector in R

Week 2:

Concept of factor vector and listed data in R
Concept of matrices and arrays in R
Data frame
Import and export of data
Descriptive statistics

Week 3:

Base graphics of R
High level graphic functions: hist(), plot(), boxplot(), scatterplot etc(), barplot(), piechartt() etc
Low level graphic functions: legend(), text(), points(), lines(), ablines(), polygon(), segments() etc

Week 4:

Introduction to probability models in R
Discrete probability distributions: Bernoulli, binomial, geometric negative binomial and Poisson distributions
Continuous probability distributions: normal, exponential, uniform, gamma, beta and Weibull distributions

Week 5:

Sampling distribution with R
Use of replicate() function
Central Limit Theorem (CLT)
Law of large numbers
Normal approximation of various distributions

Week 6:

Linear regression models
Simple linear regression model
Multiple linear regression models
Model diagnostics

Week 7:

Introduction to non-linear models
Maximum likelihood estimation
Fitting with optim() function.

Week 8:

Hypothesis testing
t.test, chisq.test
ANOVA for CRD, RBD, and factorial analysis.

Week 9:

Introduction to tidyverse packages
ggplot2
readr

Week 10:

Data wrangling with dplyr.
tibbles
Concept of pipe operators
select(), mutate(), filter() etc

Week 11:

Introduction to time series in R.
ts() object and plot.ts()
decomposition of time series
ACF and PACF
Stationarity of time series
Model fitting with auto.arima()

Week 12:

Documentation with R
rmarkdown
bookdown

Books and references

Dalgaard, P. (2008). Introductory Statistics with R. New York: Springer. ISBN: 978-0-387-79053- 4
Braun, W.J. and Murdoch, D.J. (2021) A First Course in Statistical Programming with R. Cambridge University Press, Cambridge.
Ismay, C., & Kim, A. Y. (2019). Statistical inference via data science: a Modern Dive into R and the tidyverse. Chapman and Hall/CRC

Instructor bio

Prof.Athar Ali Khan

Aligarh Muslim University

Professor Athar Ali Khan is professor and chairman at Department of Statistics and O. R., AMU, Aligarh. He joined Sher-e-Kashmir University of Agricultural Sciences, Shalimar, Srinagar (J & K) in 1986. In 1997 completed Ph D (Statistics) from CCS Haryana Agricultural University, Hissar (Haryana). On July 27, 1998 promoted as Associate Professor and on July 27, 2006 as Professor Statistics. On June 25, 2009 joined Aligarh Muslim University as Professor Statistics. He had been recipient of UGC JRF during M Phil and CSIR Senior Research Fellow during Ph D at Hisar. Besides this, he was Principal Investigator in a project worth Rs. 14.23 lacs funded by the ICAR in Competitive Grant II during 2001-2003. Developed a software for data analysis in 2004. Published around 100 research papers in national and international journals and. He has guided 11 PhD students. His current area of research is Bayesian Statistics. He is member of advisory committee of Indian Bayesian Society. He has been receiving invitations from several Universities to deliver lectures in workshops and conferences on Applications of R software package for the last many years

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.

The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).

Date and Time of Exams: April 25, 2025 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.

Registration url: Announcements will be made when the registration form is open for registrations.

The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.

Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

Please note that assignments encompass all types (including quizzes, programming tasks, and essay submissions) available in the specific week.

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of INI and AMU .

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- INI team

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