Unguided Project Code-along

Comparing Search Interest with Google Trends

Join us for this live code-along session where we will work through possible solutions to an unguided project "Comparing Search Interest with Google Trends", and apply the skills you learned in Manipulating Time Series Data in Python!

Wednesday November 18th, at 11:00am ET
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Python

What will I learn?

You will learn how to:

  • How to efficiently set up and use a pandas DataFrame with a datetime index
  • How to calculate rolling averages and percentage change with various window sizes
  • How to manipulate time series for custom metrics and plots
  • How to quickly plot DataFrames and personalize their appearance

What should I prepare?

There’s no installation or download needed, you can work on the unguided project right in your browser before and during the live code-along. Please note a Premium DataCamp account is required to access this project.

Who should attend?

This live code-along is open to all DataCamp Premium learners, looking to gain confidence in reporting and plotting insights from time series data. We recommend that you have taken the following course before attending We recommend that you have taken the following course before attending: We recommend that you have taken the following course before attending:

  • Manipulating Time Series Data in Python

Presenter Bio

Lis Sulmont Headshot

Lis Sulmont

Workspace Architect

Lis is the Workspace Architect at DataCamp. She holds a Master's degree in Computer Science from McGill University with a focus in computer science education research and applied machine learning. Lis is passionate about teaching all things related to data and improving the accessibility of these topics.
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