Week 2 : Applied Probability and Statistics ( Part One )


Course Objectives:

  • Understand the fundamental concepts and principles of data science, including data collection, preprocessing, analysis, and interpretation.
  • Explore the ethical considerations associated with data-driven decision-making.

Learning Outcomes:

  • Explain the difference between different measures of centrality and variability (means vs. medians, variance vs. interquartile range, etc.)
  • Demonstrate awareness of bias and ethics in data science.


2.1 - Random Events and Probability

2.2 - Moments and Independence

2.3 - Statistics & Bayesian Probability

2.x.1 - Binomial Probability



Weekly Checkin :

  • Weekly Checkin for Week 2 : Due 5 pm, June 25th, Sunday.