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Data Science for Decision Making
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Day 01 - Introduction
Day 02 - Jupyter Notebooks/Lab00
Day 03 - Univariate Data - HW00
Day 04 - Univariate Data Lab 01
Day 05 - Categorical Variables - Lab 02
Day 06 - Simple Models - HW01
Day 07 - Sorting - Scatterplots
Day 08 - ADM Functions
Day 09 - Line Graphs and Functions - HW02
Day 10 - Lab 03
Day 11 - Append-Merge-Join
Day 12 - Branching - HW03
Day 13 - Pivot Tables - Lab 04
Day 14 - Visualization-Storytelling
Day 15 - Review
Day 16 - Test00
Day 17 - Probability - HW04
Day 18 - Bayes Rule
Day 19 - Random Processes/Distributions
Day 20 - Random Processes/Distributions (Cont
Day 21 - Sampling and Iteration
Day 22 - Center and Spread
Day 23 - Variability of the Sample Average
Day 24 - Hypothesis Testing - One Variable
Day 25 - Quiz 02
Day 26 - Lab 05
Day 27 - A/B Testing
Day 28 - Deflategate
Day 29 - Bootstrapping
Day 30 - Lab 06
Day 31 - Test 01 Review
Day 32 - Intro to Prediction
Day 33 - Test 01
Day 34 - Intro to Correlation
Day 35 - Linear Regression
Day 36 - Variability of Regression Lines
Day 37 - Lab 07
Day 38 - Machine Learning
Day 39 - Lab 08
Day 40 - Ethics in Machine Learning
Day 41 - Quiz 04 - Khost Call
Day 42 - Khost Call
Day 43 - Khost Call Presentations
Day 44 - Review
Day 45 - Review
Data Science for Decision Making
Day 44 -Review
Today we have posted the practice exams. There are two with solutions (keep scrolling).
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