Python Data Analysis
Learn how to apply powerful data analysis techniques with popular open source Python modules
Created by Ivan Idris
Explore practical data analysis techniques using Python and its most popular libraries. Build on your existing Python skills to manipulate, analyze, and visualize data in ways that are directly applicable to real-world projects. Gain hands-on experience with tools that professional data analysts use every day.
Packt | Oct 2014 | 348 min
What You Will Learn
You will work through realistic examples that mirror common data analysis tasks. Each topic introduces a new tool or technique, guiding you step by step from data preparation to visualization. By applying these methods to practical scenarios, you will develop the confidence to tackle your own data projects.
Key Features
- Work with NumPy and pandas to efficiently manipulate and analyze data
- Visualize and interpret datasets to uncover trends and insights
- Apply advanced techniques like signal processing and database integration
Target Audience
Designed for programmers, scientists, and engineers who already know Python and basic data science concepts. If you want to deepen your understanding of data analysis using Python libraries and are ready to move beyond the basics, you will find clear guidance and practical skills to advance your career.
