Time Series Analysis in Python

Key Takeaways:
  • How to prepare time series data for visualization and modeling.
  • How to visualize time series data.
  • How to fit a simple model and make forecasts with time series data.
Tuesday, February 21, 11am ET

Register for the webinar


In this live training, we will dig into financial time series in Python. We will explore a number of different stocks, visualizing their performance and making forecasts with different models!

We will be 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:

Presenter Bio

Justin Saddlemyer Headshot
Justin SaddlemyerWorkspace Architect at

Justin is a Workspace Architect at DataCamp. He holds a bachelor's degree in psychology from St. Francis Xavier University and a graduate degree in social psychology from VU Amsterdam. In 2016 Justin received a Ph.D. in marketing from KU Leuven.