Live training

Data Visualization in Python

Join us for this live, hands-on training where you will immerse yourself in data visualization in Python. Using both Matplotlib and Seaborn, you’ll learn how to create visualizations that are presentation-ready. This session will run for three hours, allowing you time to really immerse yourself in the subject, and includes short breaks and opportunities to ask the expert questions throughout the training.

Tuesday 5 May, 12 PM EDT, 5 PM BST
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Python

What will I learn?

You will learn how to:

  • Create various types of plots, including bar-plots, distribution plots, box-plots and more using Seaborn and Matplotlib.
  • Format and stylize your visualizations to make them report-ready.
  • Create sub-plots to create clearer visualizations and supercharge your workflow.

What should I prepare?

Please note, a Gmail account is required in order to use Colaboratory, a free Jupyter notebook environment. You can join the webinar from your web browser following the instructions you receive in your registration email. All required data/resources will be provided in the training.

Who should attend?

This course is open to all DataCamp Premium learners, looking to grow their Python data visualization powers. We recommend that you have taken the following course before attending:

  • Introduction to Data Visualization with Seaborn

Presenter Bio

Adel Nehme Headshot

Adel Nehme

Data Science Evangelist

Adel is a Data Science educator, speaker, and Evangelist at DataCamp, where he has released various courses and live training on data analysis, machine learning, and data engineering. Adel is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.
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