Introduction
Chapter 1:
The Influence of Data Science and Data Analysis on the Future
Making Data Actionable for Data Science
Shortage of Talent in Data Science
Chapter 2:
Exploring Our Raw Data
Answering Your Big Business Questions
Deciding Where to Store the Data
Places to Search for Data
Chapter 3:
The Process of Data Munging
Chapter 4:
Preparing for Data Mining
Chapter 5:
Why Data Preprocessing Is Important
Chapter 6:
Adding in Some Python with Logistics and Linear Regression
Chapter 7:
The Advanced Python Libraries to Getting Work Done
NumPy
Scikit-Learn
Pandas
Chapter 8:
How to Handle Unstructured Data with Text Mining
Chapter 9:
Managing Your Files with Python
Chapter 10:
Adding in the Visualization to Finish the Process
Chapter 11:
Creating Your Own Neural Network Exercise to Help with Data Analysis
Chapter 12: Data Visualization with Python
Functional method
Conclusion