Skip to main content

Live Training: Analyzing a Time Series of the Thames River in Python

Time series data is everywhere, from watching your stock portfolio to monitoring climate change, and even live-tracking as local cases of a virus become a global pandemic.

In this live code-along, you’ll work with a time series that tracks the tide levels of the Thames River. You’ll first inspect the data visually, and then perform calculations on the dataset to generate some summary statistics. Next, you’ll decompose the time series into its component attributes. You’ll end with a taster of time series forecasting.

Key Learnings

  • Inspect a time series visually to obtain a high level understanding of the dataset

  • Decompose a time series into its constituent attributes

  • Begin a time series forecast to predict future tide levels of the River Thames


  • Sign up to DataCamp Workspace

  • Access the starting notebook

  • Access the solution notebook

Follow along with this training in Workspace.

Maham Khan Headshot
Maham Khan

Senior Content Developer at DataCamp

Recommended Content

Live Code-Along: Introduction To Workspace Teams

Learn how you can do more together with our enhanced in-browser notebook.


Live Training: Analyzing Olympics Data with SQL and Python

Learn how to load data from different sources and perform exploratory analyses.


Live Training: Sentiment Analysis and Prediction in Python

Learn how to build a machine learning model predicting sentiment.


Hands-on learning experience

Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers

Learn More

Upskill your teams in data science and analytics

Learn More

Join 2,500+ companies and 80% of the Fortune 1000 who use DataCamp to upskill their teams.

Don’t just take our word for it.