Jupyter Notebook for Data Science
Collaborate, create interactive visualizations, and manipulate big data in the language of your choice.
Created by Drazen Lucanin
Explore how to use Jupyter Notebook to analyze real-world data, create interactive visualizations, and tackle common data science challenges. You'll work hands-on with tools like pandas, matplotlib, and plotly while learning to clean and visualize complex datasets.
Packt | Aug 2018 | 191 min
What You Will Learn
You'll dive into real data from sources like New York City crime and traffic records, learning by doing as you clean, analyze, and visualize information. Each step builds practical skills, from data scraping to creating interactive visualizations that tell a compelling story.
Key Features
- Work with real datasets to clean, analyze, and visualize information effectively
- Use pandas, matplotlib, and plotly to create interactive reports and data visualizations
- Handle web scraping, missing data, and unstructured data in practical data science tasks
Target Audience
Perfect for developers and aspiring data scientists who know some Python and want to build confidence with Jupyter Notebook. If you have a basic grasp of math and statistics and want to work with real data to solve practical problems, you'll gain valuable skills and hands-on experience.
