Skip to main content

Full Stack Data Engineering with Python

In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics knowledge required). You'll see how to work with HDF5 files, clean and analyze time series data, and visualize the results.
Blenda Guedes
Blenda Guedes

Create Your Free Account

Practice and track your progress.

Continue with GoogleBy continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Code along with us on

Code Along ↗

The full data workflow often involves many stages, from importing and processing the data to make it suitable for analysis, followed by some number crunching, and then presenting your insights.

In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics knowledge required). You'll see how to work with HDF5 files, clean and analyze time series data, and visualize the results.

Key Takeaways:

  • Learn how data engineering and data analysis combine into a larger workflow.
  • Learn how to prepare and analyze time series data.
  • Learn how to work with HDF5 files.

Topics

Related

code-along

Getting Started with Data Pipelines for ETL