Exploratory Data Analysis in Julia for Absolute Beginners

Key Takeaways:
  • How to use the DataFrames package to manipulate data and calculate summary statistics.
  • How to use the StatsPlots package to draw data visualizations.
  • How exploratory data analysis is used to get insights about your data.
Tuesday, February 28, 11 am ET

Register for the webinar


In this live codealong, you will be introduced to the basics of exploring new datasets. Using data on cheese processing, you will calculate summary statistics and draw visualizations to generate insights. After the code-along, you will get access to a solution notebook to use as a future reference!

Learning by doing is encouraged, and you can follow along using DataCamp Workspace. All you need is a DataCamp account. If you need help, read the Getting Started with Workspace tutorial. Note that members of some enterprise groups do not yet have access to use DataCamp Workspace. Create a free DataCamp account with your personal email address to follow along.

We recommend that you have taken the following course before attending:

  • Introduction to Julia

Presenter Bio

Richie Cotton Headshot
Richie CottonData Evangelist at DataCamp

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.