More Information
Learn
  • Get to grips with fundamental concepts and conventions of data visualization
  • Learn how to use libraries like NumPy and Pandas to index, slice, and iterate data frames
  • Implement different plotting techniques to produce compelling data visualizations
  • Learn how you can skyrocket your Python data wrangling skills
  • Draw statistical graphics using the Seaborn and Matplotlib libraries
  • Create interactive visualizations and integrate them into any web page
About

You already know you want to learn data visualization with Python, and a smarter way to learn is to learn by doing. The Data Visualization Workshop focuses on building up your practical skills so that you can develop clear, expressive real-world charts and diagrams. You'll learn from real examples that lead to real results.

Throughout The Data Visualization Workshop, you'll take an engaging step-by-step approach to understand data visualization with Python. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how companies like Uber are using advanced visualization techniques to represent their data visually. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.

Every physical print copy of The Data Visualization Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book.

Fast-paced and direct, The Data Visualization Workshop is the ideal companion for Python beginners who want to get up and running with data visualization. You'll visualize your work like a skilled data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.

Features
  • Ideal for Python beginners getting started with data visualization for the first time
  • A step-by-step data visualization tutorial with exercises and activities that help build key skills
  • Structured to let you progress at your own pace, on your own terms
  • Use your physical print copy to redeem free access to the online interactive edition
Page Count 480
Course Length 14 hours 24 minutes
ISBN 9781838981488
Date Of Publication 28 Feb 2020

Authors

Mario Döbler

Mario Döbler is a Ph.D. student with a focus on deep learning at the University of Stuttgart. He previously interned at the Bosch Center for artificial intelligence in the Silicon Valley in the field of deep learning. He used state-of-the-art algorithms to develop cutting-edge products. In his master thesis, he dedicated himself to applying deep learning to medical data to drive medical applications.

Tim Großmann

Tim Großmann is a computer scientist with interest in diverse topics, ranging from AI and IoT to Security. He previously worked in the field of big data engineering at the Bosch Center for Artificial Intelligence in Silicon Valley. In addition to that, he worked on an Eclipse project for IoT device abstractions in Singapore. He's highly involved in several open-source projects and actively speaks at tech meetups and conferences about his projects and experiences.