Learning Python Data Analysis
Find, manipulate, process, analyze, and crunch data
Created by Benjamin Hoff
Explore how to find, manipulate, and analyze data using Python's powerful libraries. Build your skills with hands-on techniques for handling both small and large datasets, and learn to uncover insights using modern data science tools. Move from data collection to advanced analysis and visualization, all within the Python ecosystem.
Packt | Mar 2017 | 355 min
What You Will Learn
You'll work through practical, real-world examples that guide you from data retrieval and cleaning to advanced analysis and visualization. By applying each concept directly in Python, you'll gain confidence using libraries like Numpy, Pandas, and SciPy to tackle real data challenges and deliver actionable results.
Key Features
- Work efficiently with Numpy, Pandas, and SciPy for data processing and analysis
- Apply machine learning and natural language techniques to extract valuable insights
- Create clear, interactive dashboards to present your findings effectively
Target Audience
Ideal for Python developers with a basic understanding of the language who want to deepen their data analysis skills. If you're aiming to handle large datasets, perform meaningful analysis, and present insights clearly, you'll find the content well-suited to your goals. Perfect for those looking to move into data science or enhance their current workflow.
