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Preface

Part I. Introduction

1. Introduction to Data Science
2. Jupyter Notebook Environment

Part II. Python Basics

3. Python Basics
- 3.1. Python Basics
4. Data Collections
5. Control Structures
- 5.3. Conditionals
- 5.4. Iteration
6. Functions

Part III. Working with Data

7. Relational Databases
- 7.1. SQLite Lab
- 7.2. MySQL Lab
8. NumPy Arrays
- 8.1. Arrays Basics
- 8.2. Array Computation
9. Pandas

Part IV. Data Visualization

10. Visualization
11. Pandas Visualization
12. Matplotlib Overview
13. Seaborn

Part V. Probability & Statistics

14. Descriptive Statistics & Distribution
15. Testing Hypothesis
16. Comparing Two Samples
17. Estimation
18. Prediction

Part VI. Machine Learning

19. Machine Learning
- 19.1. Linear Regression with Python

Appendices

20. Bibliography

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Relational Databases

7. Relational Databases#

Please see 6.2 for MySQL Lab instructions.

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6. Functions

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7.1. SQLite Lab

By Tsangyao Chen

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