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
Language
English
About Book
Who Is This Book For?
This book is for programmers, scientists, and engineers who have the knowledge of Python and know the basics of data science. It is for those who wish to learn different data analysis methods using Python 3.5 and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.
Python Data Analysis
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h total length
Getting Started with Python Libraries
NumPy Arrays
The Pandas Primer
Statistics and Linear Algebra
Retrieving, Processing and Storing Data
Data Visualization
Signal Processing and Time-series
Working with databases
Analyzing Textual Data and Social Media
Predictive Analytics and Machine Learning
Environments outside of the Python ecosystem and Cloud Computing
Performance Tuning, Profiling and Concurrency
Appendix A: Key Concepts
Appendix B: Useful Functions
Online Resources
Related Resources
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