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Materials for DSUA-111: Data Science for Everyone (NYU, Fall 2020)

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DSUA111: Data Science for Everyone, Fall 2020, NYU

Jeff Jacobs, [email protected]

Jeff's sections

Jeff's Office Hours

NOTE: Please use the "Slideshow" link to follow along with the slides during sections. If the link is not working for whatever reason, you can follow along with the slides using the "Jupyter Notebook" link (since the slideshow is compiled from this Jupyter notebook).


Section Slides

Week 0 (2020-09-04): Introduction to the Course

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Week 1 (2020-09-11): Introduction to Python

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Week 2 (2020-09-18): Python Data Types

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Week 3 (2020-09-25): Causality and the Scientific Method

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Week 4 (2020-10-02): Causality Wrap-Up, Python Sequences and Libraries

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Week 5 (2020-10-09): Pandas!

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Week 6 (2020-10-16): Descriptive Statistics and Data Visualization

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Week 7 (2020-10-30): Python Functions and Control Flow, Law of Large Numbers

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Week 8 (2020-11-06): Hypothesis Testing, Correlation vs. Causation

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Week 9 (2020-11-13): Linear Regression!

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Week 10 (2020-11-20): Interpreting and Evaluating Linear Regression, Machine Learning

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Week 11 (2020-12-04): Classification, Final Review

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