Book

Python Data Analysis

This book will show data analysis tasks, ranging from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling using a variety of modules such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and NLTK. You will be able to analyze different kinds of data including numeric, text, time-series, graph, and social media.

Offered by

Difficulty Level

Intermediate

Completion Time

11h approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 11h total length

1. Getting Started with Python Libraries

2. NumPy Arrays

3. The Pandas Primer

4. Statistics and Linear Algebra

5. Retrieving, Processing and Storing Data

6. Data Visualization

7. Signal Processing and Time-series

8. Working with databases

9. Analyzing Textual Data and Social Media

10. Predictive Analytics and Machine Learning

11. Environments outside of the Python ecosystem and Cloud Computing

12. Performance Tuning, Profiling and Concurrency

13. Appendix A: Key Concepts

14. Appendix B: Useful Functions

15. Online Resources

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