Live training

Time Series Analysis in Python

Join us for this live, hands-on training where you will learn how to extract meaningful insights and make predictions based on time series data. 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 2 June, 3 PM EDT, 8 PM BST
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Python

What will I learn?

You will learn how to:

  • How to identify trends and seasonality in data
  • Use correlation analysis to uncover patterns in time series
  • Use models like the moving average model and the autoregressive model to make predictions

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 expand their analytics skillset. We recommend that you have taken the following course before attending:

  • Time Series Analysis in Python
  • Manipulating Time Series Data in Python

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Alex Yarosh

Content Quality Analyst

Alex is a Content Quality Analyst at DataCamp, where they work to ensure that our courses are the best they can be! They have an MS in Applied Mathematics and Computer Science, and a PhD in Theoretical Mathematics. Their favorite things in the world are cats, teaching, and trains.
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