ONLINE COURSE ON FUNDAMENTALS OF R- PROGRAMMING

Jan 14 - Jan 23, 2023

Course details

This course aims to aid individuals in the field of health science, health policy and health administration who are keen on developing their knowledge in quantitative research methods and building computation skills under an open-source platform. This course will teach you the fundamentals of R, a widely known open-source language. This course is the first step on your R programming language learning path. With the skills you'll learn in this course, you'll be ready to conduct your first data analysis.

Upon completion of this course, students will be able to:

  • Understand the fundamentals of programming languages
  • Explain the basic ideas of programming in R, such as functions, variables, data types, pipelines, and vectors.
  • Create summary tables using R
  • Create basic bar charts, histograms, pie charts, scatter plots, line plots, box plots, and maps using R
  • Conduct data analysis

 

Course Schedule

No

Topic

Duration

1

Introduction, Installation, and orientation

2 Hour

2

Basic operations and data structures in R

2 Hour

3

Data import, export, and manipulation

4 Hour

4

Control Structures and Repeat Operations

4 Hour

5

Functions in R

4 Hour

6

Learning Debugging through developing and using user-defined functions in R

4 Hour

7

Data Visualization using Base R

4 Hour

8

Data Visualization using ggplot2

4 Hour

9

Exploratory data analysis in R

5 Hour

10

Statistical inference using R

5 Hour

11

Multivariate data analysis using R

5 Hour

12

A case study using R

5 Hour

 

Who should attend?

Anyone interested in improving their understanding of data analysis methods who has a background in the health sciences, health policy, health administration, pharmaceutical industry, data science enthusiasts, or aspiring programmers. This workshop should be of interest to postgraduate/graduate students in the health sciences, public health, and statistics.

 

Organization and delivery

The course will be hosted and delivered online by St John’s Medical College through Microsoft Teams. After successful registration, all participants will be shared with the link to online classes and login details. The course can then be accessed at any time from a desktop, laptop.

 

Course fee

Rs 11,800(Including 18% GST) /

Registration

Pay course fee through NEFT

Beneficiary name: St. John's Medical College

Bank Name: Bank of Baroda

Beneficiary's Bank A/c#: 05210200000212

Branch: John Nagar

IFSC Code: BARB0STJOHN (5th digit zero)

Complete registration by filling the google form.

https://forms.gle/sXgaXxkv4LKpcsEB9

Registration closes on 16th JAN 2023

 

For further enquiry and registration, contact

  1. Dr. Tinku Thomas

(HOD & Professor)

Dept of Biostatistics

St John’s Medical College, Bangalore

  1. Dr. Santu Ghosh

(Asst Professor)

Dept of Biostatistics

St John’s Medical College, Bangalore

 

Office: 080-4946-7036/6123

Mobile: +91 9538147676

Email: biostatws@stjohns.in