Course Format and Modules

Each week, on Monday, you will receive new course materials. The learning content of the week will be delivered through videos, study materials, discussion boards, live sessions and activities. These activities will help you to reinforce the key concepts and takeaways.

Throughout the course, you will be able to exchange ideas with your fellow learners through discussion boards on the learning platform. You will also have a chance to interact directly with your Faculty/Course Mentor during office hours.

Course Details

Date	Week No.	Week Name	Week Outcomes	Activities
Wednesday, August 14, 2024	Programme Orientation	Getting Oriented	Become familiar with the learning platform and the components of the programme	Programme introduction Faculty introduction Learning platform overview Introduce yourself Programme agreement
Monday, August 26, 2024	1	Introduction to R	Explain analytical methods for managing large quantities of data. Describe plot techniques for visualization.	4 Videos 1 Required Quiz 1 live session
Monday, September 2, 2024	2	Data Evolution	Analyze Data Sets using the Principles of Exploratory Data Analysis.	5 Videos 1 Required Quiz 1 live session
Monday, September 9, 2024	3	Data Preprocessing	Analyse Data Sets using the Principles of Exploratory Data Analysis.	5 Videos 1 Required Quiz 1 live session
Monday, September 16, 2024	4	Missing Data	Explain analytical methods for managing large quantities of data.	5 Videos 1 Required Quiz 1 live session
Monday, September 23, 2024	5	Data Analysis	Analyse Data Sets using the Principles of Exploratory Data Analysis.	5 Videos 1 Required Quiz 1 live session
Monday, September 30, 2024	6	Data Visualization 1	Describe plot techniques for visualization. Explain and present the Findings in the Data Sets, after the Analysis is complete.	6 Videos 1 Required Quiz 1 live session
Monday, October 7, 2024	7	Data Visualization - 2	Describe plot techniques for visualization. Explain and present the Findings in the Data Sets, after the Analysis is complete.	5 Videos 1 Required Quiz 1 live session
Monday, October 14, 2024	8	Outlier Analysis 1	Analyse Data Sets using the Principles of Exploratory Data Analysis.	5 Videos 1 Required Quiz 1 live session
Monday, October 21, 2024	9	Outlier Analysis 2	Analyze Data Sets using the Principles of Exploratory Data Analysis.	5 Videos 1 Required Quiz 1 live session
Monday, November 4, 2024	10	Dimensionality Reduction 1	Analyze Data Sets using the Principles of Exploratory Data Analysis.	5 Videos 1 Required Quiz 1 live session
Monday, November 11, 2024	11	Dimensionality Reduction 2	Analyze Data Sets using the Principles of Exploratory Data Analysis.	5 Videos 1 Required Quiz 1 live session
Monday, November 18, 2024	12	Dimensionality Reduction 3	Analyze Data Sets using the Principles of Exploratory Data Analysis.	5 Videos 1 Required Quiz 1 live session

Here is a downloadable copy of the Course Syllabus for your reference.

Live Sessions

Select the Webinars and Office Hours tab on the left navigation pane to view the live session schedule.

Our Recommendations

To take full advantage of this unique course, we advise the following:

Stay up to date. The course is rich with insights, which you can benefit from only if you allocate a sufficient amount of time to it. Make sure you stay up to date with the weeks and the application exercises. Apply what you have learnt to your own work as you proceed.

Interact with your classmates. The programme will fly by, and the twelve weeks will be gone before you know it. Reach out to your fellow learners early to build connections. Share your experiences and learn from your peers.

Put it into practice. One of our key objectives is to give you actionable resources that you can implement within your area of work. To achieve that, you will need to apply what you learn, which is why we encourage you to complete the activities. The more you practise, the more you will learn and the more effective you will be.