International Faculty Development Program on R Programming for Data Science
The aim of this faculty development program is to train the faculty of universities, institutes and colleges of various disciplines (e.g. Computer Science and Engineering, Social Science, Economics, Statistics, Biotechnology, Medicine, and Management etc.) in Statistical computation and analysis via R software.
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Course Overview
Important dates
Last date of registration: 21 April 2023
Extended date of registration: 23 April 2023
Event Date: 24 April 2023 to 07 May 2023
How to access the live event?
For registration: go to the event page, and click on buy now, a new page will open, and a coupon not be applicable for this event, at the bottom again click on buy now, then access the course (use only your email address). More details are given in the video: Click here
For login/signup: open the event page, click on signup, click on already registered, log in with Google or use username and password, then access the live session. More details are given in the video: click here
About the Workshop
This workshop is organized by Mizan-Tepi University, Ethiopia in collaboration with Poornima University, (Jaipur) India, Baba Farid College, (Bathinda) India, and MathTech Thinking Foundation, India from 24 April 2023 to 07 May 2023 at 04:30 PM to 06:30 PM (IST) or 02:00 PM to 04:00 PM (EAT). There will be eight sessions on alternate days of 16 hours. There is no registration fee, E-certificate will be presented to each participant after attending successfully. Each participant will join the session by using his/her username/password. No separate link will be shared. All the updates regarding this event will be available on the event page. Attendance of each participant is mandatory during the session. All the presented contents will be provided to the participants.
This workshop is organized by Mizan-Tepi University, Ethiopia in collaboration with Poornima University, (Jaipur) India, Baba Farid College, (Bathinda) India, and MathTech Thinking Foundation, India from 24 April 2023 to 07 May 2023 at 04:30 PM to 06:30 PM (IST) or 02:00 PM to 04:00 PM (EAT). There will be eight sessions on alternate days of 16 hours. There is no registration fee, E-certificate will be presented to each participant after attending successfully. Each participant will join the session by using his/her username/password. No separate link will be shared. All the updates regarding this event will be available on the event page. Attendance of each participant is mandatory during the session. All the presented contents will be provided to the participants.
The objective of the workshop
The aim of this workshop is to train students, working professionals, research scholars, and faculty of universities and colleges of various disciplines (e.g. Computer Science and Engineering, Social Science, Economics, Statistics, Biotechnology, Medicine, and Management, etc.) in Data Science (Statistical computation, and analysis) via R software. This workshop will provide a walking tutorial, with lots of hands-on activities, for those who are novices to the programming language and have little or no experience in this field. At the end of the workshop, participants will be able to i) understand statistical analysis using R programming; ii) Explore how to analyze research data using statistical methods and R programming; iii) Explore how to represent data using basic graphs in R.
The aim of this workshop is to train students, working professionals, research scholars, and faculty of universities and colleges of various disciplines (e.g. Computer Science and Engineering, Social Science, Economics, Statistics, Biotechnology, Medicine, and Management, etc.) in Data Science (Statistical computation, and analysis) via R software. This workshop will provide a walking tutorial, with lots of hands-on activities, for those who are novices to the programming language and have little or no experience in this field. At the end of the workshop, participants will be able to i) understand statistical analysis using R programming; ii) Explore how to analyze research data using statistical methods and R programming; iii) Explore how to represent data using basic graphs in R.
Why is R programming?
R is actively used for statistical computing and design. It has brought about revolutionary improvements in big data and data analytics. It is the most widely used language in the world of data science. It is an integrated suite of software facilities for data manipulation, calculation, and graphical display. It covers the opportunities in R software for Schools, Colleges, and Universities. It is a great help for Statisticians and data miners for developing statistical software and data analysis, polls, and data mining surveys Even for Data scientists, Market analysts, and Social Scientists Program Content R is a wonderful learning platform.
R is actively used for statistical computing and design. It has brought about revolutionary improvements in big data and data analytics. It is the most widely used language in the world of data science. It is an integrated suite of software facilities for data manipulation, calculation, and graphical display. It covers the opportunities in R software for Schools, Colleges, and Universities. It is a great help for Statisticians and data miners for developing statistical software and data analysis, polls, and data mining surveys Even for Data scientists, Market analysts, and Social Scientists Program Content R is a wonderful learning platform.
How to register?
For registration click on Buy Now and then access the course. You can easily buy at @zero cost.
Day wise Content
| Date | Contents |
| 24-4-2023 | Inaugural Ceremony from 11:00 am to 11:30 am (IST): Welcome Address: MTU, Opening Address: PU and Address about the event: BFC |
| Session-1: 24-4-2023 | (Speaker: Dr. Vikas Thada) Installing R and R Studio, Introduction to basics of R, First R program, Basic Mathematical Operations, Variables, Basic Data Types, Variable assignment, Comments, Relational Operators, Logical Operators, Sequences, Replicate Function, Control Structures, If, if-else, else if, Ifelse() function |
| Session-2: 26-4-2023 | (Speaker: Dr. Ajay Khunteta) For loops, While loops, Repeat loops, Break next statements, Functions, User Defined Functions, Function Returning Multiple Values, Inline Functions, Vectors, Vector Indexing, Matching Operator, Vector Arithmetic, Vector Methods, Vector Coercion, Logical vector, Factors |
| Session-3: 28-4-2023 | (Speaker: Assaye Belay) Mathematical Functions in R, Random Numbers in R, Matrix, Matrix diag(), Matrix Naming Rows & columns, Matrix indexing, Matrix rbind() &cbind() Functions, Matrix operations, Matrix Specific Functions, Lists, Lists Indexing, Lists Subset Operator, Lists Concatenation |
| Session-4: 30-4-2023 | (Speaker: Dr. Harmanpreet Singh Kapoor) Introduction to Rstudio and R Script, Rstudio and its working Directories, Indexing and Slicing Data Frames, Dataframes subset() function, Dataframesrbind() &cbind(), Dataframes edit() function, Missing data, Creating Matrices using Data Frames, Matrices and Data Frames, Merging and Importing Data |
| Session-5: 02-5-2023 | (Speaker: Bizuwork Derbew) String Handling in R using strings, package, Graphical display of distributions, Histograms, Boxplots Barplots, Piecharts, Scatter Plot, Descriptive statistics and graphics, The paired t test, One- and two-sample tests |
| Session-6: 04-5-2023 | (Speaker: Dr. S. Amutha) Advanced data handling, Reshaping Data, Appending frames, Merging data frames, Reshaping data frames, Tabular data, Working with dates |
| Session-7: 06-5-2023 | (Speaker: Mr. Harish Pamnani) Linear models, Regression – Linear Regression, Statistical Test like PCA and Information Value, Non-parametric test, Simple linear regression, Correlation and Pearson correlation, One-way analysis of variance, Multiple Regression, Model search and Result, Evaluation, Survey Sampling, Factor Analysis, Logistic regression, Generalised linear models, Logistic regression on tabular data, Survival analysis, Rates and Poisson regression |
| Session-8: 07-5-2023 | (Speaker: Dr. Upinder Kaur) Introduction to R for Machine Learning and Deep Learning |
Convenor(s)
Mr. Yideg Mamo: Cheif Executive Director, Tepi Campus, MTU, Ethiopia
Dr. Manish Kumar: Vice-Principal, Baba Farid College, Bathinda, India
Dr. Swati Gokhru: Dean, International Relations & Associate Professor of English, Poornima University, Jaipur, India
Dr. Mehar Chand: Department of Mathematics, Faculty of Computational and Mathematical Sciences, Baba Farid College, Bathinda, India & Founder and President, MathTech Thinking Foundation, India.
Resource Person(s)
Prof. Ajay Khunteta: Department of Computer Science & Engineering, Faculty of Computer Science & Engineering, Poornima University, Jaipur
Dr. Harmanpreet Singh Kapoor: Department of Mathematics and Statistics, Central University of Punjab, India
Dr. Vikas Thada: Professor (CSE), Faculty of Computer Engineering, Poornima University, Jaipur, Rajasthan, India
Mr. Harish Pamnani: Assistant Professor, Department of Computer Science & Engineering, Faculty of Computer Science & Engineering, Poornima University, Jaipur, India
Dr. Upinder Kaur: Department of Computer Science and Engineering, Akal University, Bathinda, India
Mr. Bizuwork Derbew: Assistant Professor and Researcher, Department of Statistics Dean, College of Natural and Computational Science, Mizan-Tepi University, Ethiopia
Mr. Assaye Belay: Assistant Professor and Researcher, Department of Statistics Director, Research and Community Services, Tepi Campus, Ethiopia
Dr. S. Amutha: Associate Professor, Department of CSE, P. S. R Engineering College, Sivakasi, Tamil Nadu, India
Coordinator(s)
Dr. Tejinder Singh: Department of Computer Science, Faculty of Computational and Mathematical Sciences, Baba Farid College, Bathinda, India
Dr. Abubakar Muhammad Wakil: (Coordinator, MTTF), Department of Clinical, Faculty of Veterinary Medicine, Universiti Malaysia Kelantan, Kelantan, Malaysia
Dr. Sunil Kumar: (Coordinator, MTTF), Department of Nanotechnology, Sejong University, Seoul, Republic of Korea (South Korea)
Dr. Zarife Zararsız: (Coordinator, MTTF), Department of Mathematics, Nevsehir Haci Bektas Veli University, Turkey
Prof. Ebenezer Bonyah: (Coordinator, MTTF), Department of Mathematics Education, Akenten Appiah Menka University of Skills Training and Entrepreneurial and Entrepreneurial, Ghana
Dr. Madhuchanda Rakshit: (Coordinator, MTTF), Department of Mathematics, Gurukashi University, Bathinda, India
Dr. Yogita Sharma: Coordinator, MathTech Thinking Foundation, India
Ms. Monika Sharma: Assistant Professor, Department of Computer Science & Engineering, Faculty of Computer Science & Engineering, Poornima University, Jaipur, India
Prof. Nedie Patience Akani: Department of Microbiology, Rivers State University, Nigeria
Ms. Suchita Arora: Assistant Professor, Department of Computer Science & Engineering, Faculty of Computer Science & Engineering, Poornima University, Jaipur, India
Mr. Solomon Abebew: Assistant Professor and Researcher, Department of Statistics, Mizan-Tepi University, Ethiopia
Mr. Mesfin Esayas: Lecturer and Researcher, Department of Statistics, Mizan-Tepi University, Ethiopia
Mr. Jatin Bansal: Department of Mathematics, Faculty of Computational and Mathematical Sciences, Baba Farid College, Bathinda, India
Dr. Mahendra D. Shinde: Sandip University, Nashik, Maharashtra, India
Mrs. Megha Kishor Kothawade: Sandip University, Nashik, Maharashtra, India
Organized by
Mizan-Tepi University, Ethiopia
In Collaboration with
Poornima University, Jaipur, India
Baba Farid College, Bathinda, India
MathTech Thinking Foundation (MTTF), India
HelpDesk:
For any queries please contact us at below WhatsApp numbers:
+251-93 734 1707 (Mizan Tepi University, Ethiopia)
+91-99821 66611 (Poornima University, Jaipur, India)
+91 95011 15227 (Baba Farid College, Bathinda, India)
Schedule of Classes
Start Date & End Date
Apr 24 2023 - May 07 2023
Total Classes
9 Classes
Course Curriculum
1 Subject
R-Programming for Data Science
7 Exercises • 18 Learning Materials
Introduction to Basics of R
Dr. Vikas
Dr. Vikas
Dr. Vikas
Dr. Mehar Chand
Dr. Mehar Chand
Dr. Mehar Chand
Dr. Mehar Chand
Control Statements and Operators
Dr. Ajay's PPT
Dr. Ajay's Assignment
This assignment is for those who did not attempt first and second assignment
Mathematical Functions
Contents Presented by Assaye Bela
Assignment 3
Data Manipulations
Contents Presented by Dr. Harmanpreet Singh Kapoor
Assignment on Data Type
Visualization and Testing the data
Presented contents PPT
Submit the assignment associated with this section
Data Handling
Content presented by S. Amutha
Dr. S Amutha Assignment
Linear Models
Presented contents
Assignment
ML and DL with R
Feedback form
Important Books Provided by Dr. Upinder Kaur
Assignment
Presented contents in the sessions
Assignment
Revised Assignment
Data handling
Feed Back
Submit Feedback here
Course Instructor
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Coordinator Dr. Mehar Chand
12 Courses • 3695 Students
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