International Virtual Workshop 2021- R-Programming Statistical Data Analysis Tool
Event Date:
April 3, 2021
Event Time:
12:00 am
Event Location:
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 Statistical computation and analysis via R software. This workshop will provide with a walking tutorial, with lots of hands-on activities, for those who are novice to the programming language and have little or no experience in this field. At the end of the workshop, participant will be able to- i) understand the 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 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, data mining surveys Even for Data Scientist, Market Analyst and Social Scientist Program Content R is wonderful learning platform.
Registration Starts: March 08, 2021
Last Date of Registration: March 25, 2021
About the workshop
The workshop will be held through Cisco Webex. All the sessions will be on practical and implementation based. Recording and presented contents will be provided to each registered participant. Timing of each session will be 6:00 PM to 7:30 PM each. Limited seats are available. Certificate to each registered participant will be given after attending successfully.
| Dates | Day wise Content | |
|---|---|---|
| 03-04-21 | 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 | |
| 04-04-21 | 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 | |
| 05-04-21 | 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 | |
| 06-04-21 | 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 | |
| 07-04-21 | 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 | |
| 08-04-21 | Advanced data handling, Reshaping Data, Appending frames, Merging data frames, Reshaping data frames, Tabular data, Working with dates | |
| 09-04-21 | 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 | |
Mentors
Dr Khangembam Jitenkumar Singh, Scientist-D, National Institute of Medical Statistics (ICMR-NIMS), Indian Council of Medical Research, New Delhi -110029, INDIA
Dr. BAKSHI ROHIT PRASAD, PhD in Information Technology (Specialization in Machine Learning and Big Data) from IIIT-Allahabad
Dr. Harmanpreet Singh Kapoor, Department of Mathematics and Statistics, Central University of Punjab, India
Dr. Upinder Kaur, Department of Computer Science, Akal University, Bathinda
Mr. Ankit Singh, Assistant Professor & Incharge Biostatistics Unit, Santosh Deemed to be University, Ghaziabad
Mr. Bagesh Kumar, Research Scholar at IIIT-Allahabad, India
Organizing Committee
General Chair: Dr. Mehar Chand
Coordinators: Dr. Upinder Kaur, Dr. Gurmej Singh, Dr. Madhuchanda Rakshit
Co-Coordinators: Soumya Bahuguna, Vaibhav Gupta
Feel free to contact at +91-98729-31480, 88378-35853 Email address: admin@mttf.in
Registration Fee
| Participants | Faculty/Scientist/Industry | Research Scholars | Students | |||
|---|---|---|---|---|---|---|
| On or before March 25, 2021 | After March 25, 2021 | On or before March 25, 2021 | After March 25, 2021 | On or before March 25, 2021 | After March 25, 2021 | |
| Indian Delegate | Rs. 1200 | Rs. 1200 | Rs. 1000 | Rs. 1000 | Rs. 800 | Rs. 800 |
| Foreign delegate | USD 100 | USD 100 | USD 75 | USD 75 | USD 50 | USD 50 |
MODE OF PAYMENT
Registration fee will be accepted through only online transfer.
ONLINE PAYMENT METHOD FOR NATIONAL PARTICIPANTS:
Faculty/Scientist/Industry Click here Research Scholar Click here
Student Click here
International Participants Click here
Note: Before registration pay your registration fee at above given detail and upload the proof of slip in registration form.