In a real-life data science project, the work is spread over time like your effort with this chapter. A lot of work is put in during the first part of the allocated time, with the fun coming at the end. It is time to do some more advanced analysis on your data. You will learn about visualizations, data mining, and machine learning, and using Python with SQL Server. You will use some of the most advanced Python libraries, including matplotlib and seaborn for visualizations, scikit-learn for machine learning, and scalable revoscalepy, and MicrosoftML libraries provided by Microsoft.
This section introduces data science tasks with Python, including:
- Visualizations with matplotlib
- Enhancing graphs with seaborn
- Machine learning with scikit-learn
- Using SQL Server data in Python
- Executing Python in SQL Server
