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Interested in learning R from scratch? We’re excited to announce an on-demand, offline workshop series on R for Beginners hosted by the International Institute of Migration and Development (IIMAD), Trivandrum.
Venue: IIMAD, BN-43A, Pongumoodu, Trivandrum, Kerala.
Interested candidates are requested to click on the ‘Contact to Register’ Button on the right-hand panel to express their interest in joining the course. Please note that you do not have to pay while filling out the expression of interest form.
The course will be for a total of four sessions (3 hours per session) across two days. Dates will be decided after consultation with all those who express interest.
You will receive a link for payment after the course schedule has been fixed.
Features
- Learn R programming from scratch—no prior experience required.
- Gain practical knowledge of essential R functions and packages. Build confidence in troubleshooting and independently solving R-related challenges.
- Hands-on Expertise: Develop a strong foundation in R for data handling and analysis.
- Collaboration & Networking: Engage with instructors and peers to exchange ideas and build professional connections.
- Resources & Support: Access reference materials, scripts, and potential post-workshop guidance.
- Certification: Receive a certificate upon completion to enhance your resume.
- Practical Application: Gain valuable skills for research, policy analysis, and data-driven decision-making, particularly in migration and development.
Target audiences
- Any one interested in learning an opensource free widely used data analysis tool
- PhD scholars
- Students looking forward to learning a transferable skill
- Researchers and Academicians
- Professors and teachers
Requirements
- Students are required to have access to a computer with the latest version of R and R Studio installed. Help will be provided to install R and R studio.
- No more than two students may share one computer.
- Students should learn /revise the numerical and graphical summaries used for descriptive statistics.
- In addition to the requirements for level 1, students should learn about common analytical summaries. They may use https://sccn.ucsd.edu/~arno/mypapers/statistics.pdf as a starting point.
Curriculum
- 4 Sections
- 16 Lessons
- 2 Days
- Session 1 (Day 1 | 3 Hours | 9:30 AM to 12:30 PM)Introduction to R and the R Environment4
- Session 2 (Day 1 | 3 Hours | 1:30 PM to 4:30 PM)Descriptive Statistics Using Base R and Tidyverse4
- Session 3 (Day 2 | 3 Hours | 9:30 AM to 12:30 PM)Data Cleaning and Reshaping Techniques4
- Session 4 (Day 2 | 3 Hours | 1:30 PM to 4:30 PM)Statistical Analysis and Introduction to Modeling4
FAQs
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