This is the repository for BitTiger Data Scientist Mastery Program (DS501). This page covers what we are going to teach you and the resource you will need throughout the course.
The course videos are linked here: DS501 数据科学家直通车.
- Day: Day of the Week
- Readings: Readings for the day.
- Lecture Notes: The folder contains lecture notes and slides.
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Lead Instructor
- Ella - [email protected]
- Stone - [email protected]
- Miao - [email protected]
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Teaching Assitant
- Ye
- Qirui
- Yiqing
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Course Coordinator
- Chloe
- Joy
- Week 1: Statistical Foundations
- Week 2: Statistical Inference
- Week 3: Linear Regression
- Week 4: Tree Based Models
- Week 5: Logistic Regression
- Week 6: Natural Language Processing
- Week 7: Clustering
- Week 8: Recommendation System
Day (US) | Readings | Lecture Notes | Instructor | |
---|---|---|---|---|
Knowledge | Friday | To be posted | To be posted | Ella |
Practice | Saturday | To be posted | To be posted | Ella |
Code Lab | Tuesday | To be posted | To be posted | Ella |
Day (US) | Readings | Lecture Notes | Instructor | |
---|---|---|---|---|
Knowledge | Friday | To be posted | To be posted | Ella |
Practice | Saturday | To be posted | To be posted | Ella |
Code Lab | Tuesday | To be posted | To be posted | Ella |
Day (US) | Readings | Lecture Notes | Instructor | |
---|---|---|---|---|
Knowledge | Friday | To be posted | To be posted | Ella |
Practice | Saturday | To be posted | To be posted | Ella |
Code Lab | Tuesday | To be posted | To be posted | Ella |
Day (US) | Readings | Lecture Notes | Instructor | |
---|---|---|---|---|
Knowledge | Friday | To be posted | To be posted | Ella |
Practice | Saturday | To be posted | To be posted | Ella |
Code Lab | Tuesday | To be posted | To be posted | Ella |
Day (US) | Readings | Lecture Notes | Instructor | |
---|---|---|---|---|
Knowledge | Friday | To be posted | To be posted | Stone |
Practice | Saturday | 1. Python environment setup | To be posted | Stone |
Code Lab | Tuesday | To be posted | To be posted | Stone |
Day (US) | Readings | Lecture Notes | Instructor | |
---|---|---|---|---|
Knowledge | Friday | To be posted | To be posted | Stone |
Practice | Saturday | To be posted | To be posted | Stone |
Code Lab | Tuesday | To be posted | To be posted | Stone |
Day (US) | Readings | Lecture Notes | Instructor | |
---|---|---|---|---|
Knowledge | Friday | To be posted | To be posted | Stone |
Practice | Saturday | To be posted | To be posted | Stone |
Code Lab | Tuesday | To be posted | To be posted | Stone |
Day (US) | Readings | Lecture Notes | Instructor | |
---|---|---|---|---|
Knowledge | Friday | To be posted | To be posted | Stone |
Practice | Saturday | To be posted | To be posted | Stone |
Code Lab | Tuesday | To be posted | To be posted | Stone |
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Git and Github
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Python and Python tools
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Statistics
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Data Science and Machine Learning in Python
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Python Language
- Introductory: Learn Python the Hard Way
- Advanced: Effective Python
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Business and Data Science
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Natural Language Processing
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More...
- y-hat: What We Learned Analyzing Hundreds of Data Science Interviews
- Quora: How Do I Prepare for a Data Scientist Interview
- Airbnb
- Uber
- StitchFix
- y-hat
- Machine Learning Mastery
- Data Science 101
- The Data Incubator: good examples of data science projects