Week 4 : Data Preprocessing

[ June 29 to July 2 7]

Objectives

Course Objectives:

• Understand the fundamental concepts and principles of data science, including data collection, preprocessing, analysis, and interpretation.
• Develop proficiency in using data science tools and programming languages.
• Explore the ethical considerations associated with data-driven decision-making.

Learning Outcomes:

• Convert a raw data source into a version appropriate for downstream analysis using Python.
• Demonstrate awareness of bias and ethics in data science.

Lectures

• 4.1 - Pandas cont…

• 4.2 - Data Preprocessing - Part 1 | (Tabular Data, Audio and Image)

• 4.3 - Data Preprocessing - Part 2 & Data Visualization

Activities

Homework

• Homework 2: Due July 7, 5 pm
• Bonus Homework: Due July 7, 5 pm

Weekly Checkin

• Weekly Checkin for Week 3 : Due 5 pm, July 2, Sunday ( Based on Lecture 2.x.1 & 3.1, 3.2, 3.3)
• Weekly Checkin for Week 4 : Due 5 pm, July 7, ( Based on Lecture 4.1,4.2,4.3)

Others

• Github experience in class . Take Survey on D2L>Survey

Summary ( Plan versus Achievements):

• Strikethrough text is changes in plan.
• Green is new items added after planning.
• Checked boxes are completed items.

Week 4 ( June 28 to July 2-4)

1. Lectures

• 4.1 - cont .. Pandas Data Processing

• 4.2 - Data Preprocessing - Part 1 | (Tabular Data, Audio and Image)

• 4.3 - Data Preprocessing - Part 2

2. Homeworks

• Homework 2 released
• Bonus Homework (tentative)

3. Weekly Check-in

• Check-in for week 3 is due on 5 pm, July 2, Sunday. (Based on Lecture 2.x.1 & 3.1, 3.2, 3.3)
• Check-in for week 4 opens ( Based on Lecture 4.1, 4.2, 4.3 )

4. Assigned Reading

• Week 4’s assigned reading already published.
• Week 5 assigned reading will be announced.

5. Honours

• Contract Finalisation.

6. Others

• Github experience in class . Take Survey on D2L>Survey