Python Data Mining Quick Start Guide
A beginner's guide to extracting valuable insights from your data
Created by Nathan Greeneltch
Get hands-on with data mining using Python and real-world datasets. Learn how to extract meaningful insights by working through each stage of the data mining process, from data loading and cleaning to analysis and visualization. Build practical skills with popular Python libraries and see how to create efficient data mining pipelines.
Packt | Apr 2019 | 188 min
What You Will Learn
You will start by exploring the fundamentals of data mining and gradually move through each stage of the process. Step by step, you will work with real datasets and use Python libraries to load, clean, analyze, and visualize data. Along the way, you will apply clustering, classification, and data transformation techniques to solve practical problems.
Key Features
- Master data loading, cleaning, analysis, and visualization using Python tools
- Apply clustering and classification techniques to uncover patterns in your data
- Build efficient data mining pipelines with NumPy, pandas, scikit-learn, and matplotlib
Target Audience
This course is ideal for Python developers who want to branch into data mining, as well as aspiring data scientists and analysts eager to apply Python to real data challenges. If you already know the basics of Python and want to quickly build practical data mining skills, you will find this course a great fit for your goals.
