Advanced Data Science Guide provides a detailed step by step process on:
1. Introduction to Data Science
2. How to Execute Jupyter Notebooks from GitHub
3. Introduction to Data Ethics
4. Defining Data
5. Introduction to Statistics and Probability
6. Introduction to Probability and Statistics (notebook.ipynb)
7. Working with Data - Relational & Non-Relational Databases
8. Working with Data: Python and the Pandas Library
9. Working with Data: Data Preparation
10. Data Preparation (notebook.ipynb)
11. Data Visualizations with Python & R
12. Visualizing Distributions using Python or R
13. Visualizing Proportions using Python & R
14. Visualizing Relationships using Python
15. Introduction to the Data Science Lifecycle etc