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Data Science An overview of data science
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Wed Jan 20 1 Why Data Science? Lab 01
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Fri Jan 22 2 Cause and Effect Homework 01
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Mon Jan 25 3 New Lesson
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Tables Using Python to manipulate information
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Wed Jan 27 1 Expressions Lab 02
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Fri Jan 29 2 Sequences Homework 02
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Mon Feb 01 3 Data Sets
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Fri Feb 05 5 Functions Homework 03
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Mon Feb 08 6 Categories
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Visualization Interpreting and exploring data through visualizations
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Fri Feb 12 2 Histograms Homework 04
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Sampling Understanding the behavior of random selection
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Wed Feb 17 1 Sampling Lab 05
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Fri Feb 19 2 Iteration Homework 05
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Mon Feb 22 3 Estimation and Means
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Wed Feb 24 4 Variability Project 1
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Prediction Making predictions from data
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Fri Feb 26 1 Correlation
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Mon Feb 29 2 Explorations: Privacy
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Wed Mar 02 3 Regression
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Fri Mar 04 4 Prediction
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Mon Mar 07 5 Explorations: Design and Critique
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Fri Mar 11 7 Multiple Regression Homework 06
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Mon Mar 14 8 Classification
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Wed Mar 16 9 Explorations: Machine Learning Lab 09
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Fri Mar 18 10 Midterm
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Mon Mar 28 11 Feature Selection Project 2
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Inference Reasoning about populations by computing over samples
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Wed Mar 30 1 Confidence Intervals Lab 10
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Fri Apr 01 2 Percentiles Homework 07
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Mon Apr 04 3 Distance Between Distributions
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Wed Apr 06 4 Hypothesis Testing
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Fri Apr 08 5 Hypothesis Testing II
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Mon Apr 11 6 Permutation Tests
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Wed Apr 13 7 Implementing Permutation Tests Lab 12
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Fri Apr 15 8 A/B Testing Homework 08
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Mon Apr 18 9 Regression Inference Project 3
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Wed Apr 20 10 Slope Inference Lab 13
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Fri Apr 22 11 Regression Diagnostics
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Probability Making assumptions and exploring their consequences
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Mon Apr 25 1 Probability
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Wed Apr 27 2 Conditional Probability Lab 14
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Fri Apr 29 1 Statistics
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Mon May 02 2 Conclusion