Important links
Syllabus Class Repository Blogs Office Hours w/ Marisa Office Hours w/ Shreya
Calendar
<iframe src="https://calendar.google.com/calendar/b/1/embed?height=600&wkst=1&bgcolor=%23ffffff&ctz=America%2FNew_York&src=ZmxhdGlyb25zY2hvb2wuY29tX3NtZWE2aWE4bWluN252YWRjY2o5aWwzY2hvQGdyb3VwLmNhbGVuZGFyLmdvb2dsZS5jb20&color=%234285F4&mode=WEEK&showNav=1&showPrint=0&showCalendars=0&showTitle=0&title" style="border-width:0" width="900" height="600" frameborder="0" scrolling="no"></iframe>Lecture Code + Recording
Module 1 🌱
| Topic | Code | Video |
|---|---|---|
| Make the Terminal your Friend | solution | youtube |
| Python Fundamentals | solution | youtube |
| Python Fundamentals pt.2 | solution | youtube |
| Intro to Libraries & Numpy | solution | youtube |
| Github + Packages Review | n/a | part.1, part.2 |
| Pandas pt.1 | solution | youtube |
| Pandas pt.2 | solution | youtube |
| Pandas pt.3 | solution | youtube |
| Pandas Data Cleaning | ---- | ----- |
| Coding Best Practices | link | youtube |
| Visualizations w/ Matplotlib | youtube | |
| Visualizations w/Seaborn | link | Slide Decks |
| Dealing with Missing Data - Lab Review | solution | part.1, part.2 |
| Quality Deliverables | ---- | ----- |
| Partner Gitflow Lecture | youtube |
Module 2 🌿
| Topic | Code | Video |
|---|---|---|
| SQL | link | youtube |
| Object Oriented Programing | link | youtube |
| JSON & APIs | link | youtube |
| HTML, CSS, Webscraping | link | youtube |
| More SQL | link | youtube |
| NoSQL & MongoDB | link | youtube |
Module 3 ☘️
| Topic | Code | Video |
|---|---|---|
| Set Theory and Probability | solution | youtube |
| Distributions | ppt | youtube |
| Sampling & Central Limit | ||
| Hypothesis Testing | youtube | |
| Two Sample TTest Coach Lab | link | youtube |
| Power & Effect | ||
| A/B Testing & ANOVA |
Module 4 🍀
| Topic | Code | Video |
|---|---|---|
| Intro to Linear Regression | link | |
| Multiple Regression | link | |
| Check Your Assumptions | --- | --- |
| The Math in the Machine | link | |
| Feature Engineering | link | YouTube |
| Regularization | link | |
| Time Series Part I | link | YouTube |
| Time Series Part 2 | link | YouTube |
| Bring it all Together | slides | --- |
| Coach Lab | link | YouTube |
| Data Science Communication | link |
Module 5 🌳
| Topic | Code | Video |
|---|---|---|
| Intro to Classification | link | YouTube |
| Logistic Regression | link | |
| k-Nearest Neighbors | link | YouTube |
| Decision Trees | link | YouTube |
| Random Forests | link | |
| Support Vector Machine | link | YouTube |
| Principal Components Analysis | link | YouTube |
| k-Means Clustering | YouTube | |
| Coach Lab - Class Imbalance & Model Evaluation | link | Slides |
Module 6 🦚
| Topic | Code | Video |
|---|---|---|
| Hadoop-PySpark | Link | YouTube |
| PySpark-Recommendation | Link | YouTube |
| Network Graphs | Link | YouTube |
| NLP - I | Link | YouTube |
| NLP - II | Link | |
| Cloud Platforms - AWS | YouTube | |
| Neural Networks - I | Link | YouTube |
| Neural Networks - II (Keras) | Link | YouTube |
| Neural Networks - III (CNN) | Link | YouTube |
Module 7
| Topic | Code | Video |
|---|---|---|
| Intro to Flask | Link | YouTube |
| Coach Lab - Presentations | Slides | YouTube |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent