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.
Description
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 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.