In the Introduction to R week, Dr. Pallavi Mishra embarks into the foundational aspects of R programming. From understanding data types and basic operators to exploring advanced structures like vectors, lists, matrices, and more, this week's journey also delves into data visualization techniques using the Lattice package and GGplot2, empowering you to effectively represent and analyze your data with box plots, bar charts, and scatter plots.

Learning Outcomes

Programme outcome addressed this week:

To emphasize on the tools and techniques of visual business intelligence.

By the end of this week, you will be able to:

Explain analytical methods for managing large quantities of data.
Describe plot techniques for visualization.

Activities

Key activities

Videos 1-4
Required Quiz 1.1: Week 1 Quiz
Live Session: Week 1 Live Session

All the above activities should be completed by Monday, September 2, 2024, 11:59 PM IST.

Self-study activities

Please note that self-study activities are optional and do not count towards course completion.

Additional Reading: Reference List
Study Materials: Lecture Notes / Weblinks
Discussion: Q&A Discussion

You are encouraged to engage with the self-study activities to enhance your learning.

You can download the study materials at the end of the week.

Support

Q&A Discussion Boards

Please use this Q&A Discussion Board to post your questions and reply to other participants as you engage with the material in this week. Your Course Mentor will moderate this forum to respond to your content-related questions. This discussion board may also assist you in your preparation for office hours. We suggest you bookmark this page and return to it often.

Need Help? Contact Programme Support

For assistance, you can reach out to the Programme Support team. You may expect a response within 24-48 hours from Monday to Saturday.