Applied Data Science with Python and Jupyter
Applied Data Science with Python and Jupyter teaches you the skills you need for entry-level data science. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. You'll finish up by learning how easy it can be to scrape and gather your own data from the open web so that you can apply your new skills in an actionable context.
Offered by
Difficulty Level
Intermediate
Completion Time
6h24m
Language
English
About Book
Who Is This Book For?
Applied Data Science with Python and Jupyter is ideal for professionals with a variety of job descriptions across a large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries such as Pandas, Matplotlib, and Pandas providing you a useful head start.
Applied Data Science with Python and Jupyter
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 6h24m total length
Jupyter Fundamentals
Data Cleaning and Advanced Machine Learning
Web Scraping and Interactive Visualizations
Related Resources
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