Live training

How to quickstart your data analysis

During this live code-along, we’ll go through how you can use DataCamp Workspace to quickly start and run data analyses in JupyterLab—all through the comfort of your own web browser. From finding interesting datasets to using our ready to use code, you’ll walk away knowing how DataCamp Workspace can help with your data analysis.Links to the templates being used will be e-mailed prior to this event, so you can start experimenting beforehand.

Monday, October 4th, 11 am ET
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Python

What will I learn?

You will learn how to:

  • Use templates to quickstart an analysis in Workspace using JupyterLab
  • Create a Workspace from a public GitHub repository
  • Securely store and use secrets to access data stored elsewhere.
  • Create a publication of your analysis and control who has access to it.
  • Add your publication to your data science portfolio

After this, you will be a Workspace master and be ready to quickly tackle any data tasks you want!

Can't tune in live? Register and we’ll send you a link to the Live Code Along recording afterwards.

What should I prepare?

In case you haven’t already - create a free personal (not business) DataCamp account.

Who should attend?

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

  • Introduction to Python

Filip Schouwenaars Headshot

Filip Schouwenaars

Data Science Instructor and Product Manager at DataCamp

Filip is the passionate developer behind several of DataCamp's interactive courses, covering both R and Python. Under the motto 'Eat your own dog food', he has used the techniques DataCamp teaches its students to perform data analysis for DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.
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