Data Analysis with Python
Data Analysis with Python offers you an exciting new approach to data analysis that lets you work with the latest and most powerful Python tools, techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science and the power of programming and algorithms in Python, so you can work with complex algorithms, and cutting-edge AI in your data analysis. This book gives you hands-on examples throughout using Python and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate into your own data analysis.
Offered by
Difficulty Level
Intermediate
Completion Time
16h20m
Language
English
About Book
Who Is This Book For?
This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.
Data Analysis with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 16h20m total length
Programming and Data Science – A New Toolset
Python and Jupyter Notebooks to Power your Data Analysis
Accelerate your Data Analysis with Python Libraries
Publish your Data Analysis to the Web - the PixieApp Tool
Python and PixieDust Best Practices and Advanced Concepts
Analytics Study: AI and Image Recognition with TensorFlow
Analytics Study: NLP and Big Data with Twitter Sentiment Analysis
Analytics Study: Prediction - Financial Time Series Analysis and Forecasting
Analytics Study: Graph Algorithms - US Domestic Flight Data Analysis
The Future of Data Analysis and Where to Develop your Skills
Related Resources
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