Book Image

Beginning Data Science with Python and Jupyter

By : Alex Galea
Book Image

Beginning Data Science with Python and Jupyter

By: Alex Galea

Overview of this book

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.
Table of Contents (7 chapters)

Lesson Objectives


In this lesson, you will:

  • Analyze how HTTP requests work

  • Scrape tabular data from a web page

  • Build and transform Pandas DataFrames

  • Create interactive visualizations