Beginning Data Science with Python and Jupyter
Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. 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. We'll finish up by showing you 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
6h28m
Language
English
About Book
Who Is This Book For?
This book is ideal for professionals with a variety of job descriptions across 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 like Pandas, Matplotlib and Pandas providing you a useful head start.
Beginning Data Science with Python and Jupyter
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 6h28m total length
Jupyter Fundamentals
Data Cleaning and Advanced Machine Learning
Web Scraping and Interactive Visualizations
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!