CS109 Data Science

Class Material

Lectures: You can obtain all the lecture slides at any point by cloning 2015, and using git pull as the weeks go on.

Videos: You can see the entire list of videos here. Below we list them by class/section along with a link to the slides.

We’ve also started a YouTube channel for cs109. This channel has smaller videos dealing with nitty gritty stuff on the course.

Labs/Sections: Note that the Lab video and notebook is actually recorded and produced on the Thursday and Friday of the previous week, but is listed under the week that sections pertaining to the material on the Lab are given.

Week 1 (Mon Aug 31 - Fri Sep 4)

Lecture 1: Course Overview
Slides: On Github, Download
Video: SD, Mobile

Week 2 (Mon Sep 7 - Fri Sep 11)

Lab 1: Pandas, Python, and Github
Repository: 2015Lab1
Video: HD (recommended), SD, Captions, Mobile
Lecture 2:
Repository: 2015. The specific notebook
Video: Web Scraping. Regular Expressions. Data Reshaping. Data Cleanup. Pandas. HD, SD, Mobile
Lecture 3: Exploratory Data Analysis
Slides: On Github, Download
Video: HD HD-captions

Week 3 (Mon Sep 14 - Fri Sep 18)

Lab 2: Scraping, Pandas, Python, and viz
Repository: 2015Lab2
Video: HD, HD-captions
Lecture 4: Pandas, SQL, and the Grammar of Data
Repository: 2015. The specific notebook
Slides: On Github,Download
Video: HD, HD-captions
Lecture 5: Statistical Models
Slides: On Github, Download
Video: HD, HD-captions

Week 4 (Mon Sep 21 - Fri Sep 25)

Lab 3: Probability, Distributions, and Frequentist Statistics
Repository: 2015Lab3
Video: HD, HD-captions
Lecture 6: Story Telling and Effective Communication
Slides: On Github, Download
Video: HD, HD-captions
Lecture 7: Bias and Regression
Slides: On Github, Download
Video: HD, HD-captions

Week 5 (Mon Sep 28 - Fri 2 Oct)

Lab 4: Regression, Logistic Regression: in sklearn and statsmodels
Repository: 2015Lab4
Video: HD, HD-captions
Lecture 8: More Regression
Slides: On Github, Download
Video: HD, HD-captions
Lecture 9: Classification. kNN. Cross Validation. Dimensionality Reduction. PCA. MDS.
Slides: On Github, Download
Video: HD, HD-captions

Week 6 (Mon Oct 5 - Fri 9 Oct)

Lab 5: Machine Learning
Repository: 2015Lab5
Video: HD: Learning a Model, Learning a Model-CAPTIONS HD-Classification,Classification-CAPTIONS
Lecture 10: SVM, Evaluation.
Slides: On Github, Download
Video: HD, HD-Captions
Lecture 11: Decision Trees and Random Forests
Slides: On Github, Download
Video: HD,HD-Captions

Week 7 (Mon Oct 12 - Fri 16 Oct)

Lab 6: Machine Learning 2 Repository: 2015Lab6
Video: HD: Classification Redux, Classification Redux-CAPTIONS, HD: Comparing Models,Comparing Models-CAPTIONS
Lecture 12: Ensemble Methods.
Slides: On Github, Download
Video: HD, HD-CAPTIONS
Lecture 13: Best Practices
Slides: On Github, Download
Video: HD,HD-Captions

Week 8 (Mon Oct 19 - Fri 23 Oct)

Lab 7: Ensembles
Repository: 2015Lab7
Video: HD, HD-Captions
Lecture 14: Best Practices, Recommendations and MapReduce.
Slides: On Github, Download
Video: HD, HD-CAPTIONS
Lecture 15: MapReduce Combiners and Spark
Slides for MapReduce: On Github, Download
Slides and Notebook for Spark: On Github, Download,Notebook
Video: HD, HD-CAPTIONS

Week 9 (Mon Oct 26 - Fri 30 Oct)

Lab 8: Vagrant and VirtualBox, AWS, and Spark
Repository: 2015Lab8
Video: HD, HD-CAPTIONS
Lecture 16: Bayes Theorem and Bayesian Methods
Slides: On Github, Download
Video: HD, HD-CAPTIONS
Lecture 17: Bayesian Methods Continued
Slides: On Github, Download
Video: HD, HD-Captions

Week 10 (Mon Nov 2 - Fri 6 Nov)

Lab 9: Bayes
Repository: 2015Lab9
Video: HD-Bayes1,HD-Bayes1-Captions HD-Bayes2,HD-Bayes2-Captions
Lecture 18: Bayesian Methods Continued,Text Data
Slides: On Github, Download
Video: HD, HD-CAPTIONS
Lecture BONUS: Interactive Visualization
Video: HD,HD-CAPTIONS

Week 11 (Mon Nov 9 - Fri 13 Nov)

Lab 10: Text and Clustering
Repository: 2015Lab10
Video: HD,HD-CAPTIONS
Lecture 19: Clustering
Slides: On Github, Download
Video: HD, HD-CAPTIONS
Lecture 20: Effective Presentations
Slides: On Github, Download
Video: HD,HD-CAPTIONS

Week 12 (Mon Nov 16 - Fri 20 Nov)

Lab 10: Projects, and an example
Repository: 2015Lab11
Video: HD,HD-CAPTIONS
Lecture 21: Experimental Design
Slides: On Github, Download
Video: HD, HD-CAPTIONS
Lecture 22: Deep Networks
Slides: On Github, Download
Video: HD, HD-CAPTIONS

Week 13 (Mon Nov 30 - Fri 4 Dec)

Lecture 23: Guest Lecture: Building Data Science
Video: HD
Lecture 24: Wrapup, and where to go from here.
Slides: On Github, Download
Video: HD

all materials and videos: http://cs109.github.io/2015/pages/videos.html
github: https://github.com/cs109