DATA88B.1 - Data Exploration
About this course (Part 1 of 3): 88B provides an in-depth exploration of data-driven decision making, from foundational concepts through visualization and simulation. Part 1 covers introductory modules on data management, probability, weighted averages, visualization, and simulation.
Topics¶
Part 1 (sometimes listed as 88.1X on edX) includes 5 modules:
Module 1: Competing with a Big Box Retailer - Framing decisions with data, managing datasets, and comparing strategies.
Module 2: Probability & Average - Probability and the mean, when to use averages, and interpreting them in context.
Module 3: Weighted Average - Weighted averages, choosing weights, and applications (e.g., airline reservations, surveys, reviews).
Module 4: Data Visualization - Plots and charts to explore data, communicate findings, and spot patterns or outliers.
Module 5: Simulation - Using simulation to model uncertainty, test strategies, and support “what-if” decisions.
Each module includes lecture content and Jupyter lab assignments.
Structure and assignments¶
Modules: 5 content modules (plus “Succeeding in This Course” where applicable)
Labs: 3 Jupyter lab assignments
Quizzes: 1 quiz