Live training

Visualizing Big Data in R

Join us for this live, hands-on training where you will learn techniques to help you clearly visualize the most stubbornly tricky big datasets. As your datasets get bigger, new problems begin to emerge. Having lots of observations, or lots of variables, or lots of categories for a variable can all make it harder to understand what is happening with your dataset. 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 28 July, 11 AM EDT, 4 PM BST
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What will I learn?

You will learn how to:
  • Methods of dealing with overplotting with ggplot2
  • 'Plot types for big data: pair plots, correlation heatmaps, and parallel coordinates plots with GGally and ggcorrplot.'
  • Interactive big data plots with trelliscope.

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 session is open to all DataCamp Premium learners who are already comfortable using ggplot2 to visualize datasets in R, and who want to master the art of data visualization. We recommend that you have taken the following course before attending:

  • Intermediate Data Visualization with ggplot2
  • Data Manipulation with dplyr

Presenter Bio

Richie Cotton Headshot

Richie Cotton

Data Evangelist

Richie is DataCamp's Data Evangelist, helping individuals and organizations understand how to make better use of data. He has almost two decades of experience as a data scientist and data educator. He has written two books on R programming, created 10 DataCamp courses, and developed many R packages. He also has extensive experience helping organizations build out data learning programs.
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