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:

  • Learn what a Jupyter Notebook is and why it's useful for data analysis

  • Use Jupyter Notebook features

  • Study Python data science libraries

  • Perform simple exploratory data analysis


All code from this book are available as lesson-specific IPython notebooks in the code bundle. All color plots from this book are also available in the code bundle.