Data Investigations with Python
Harness the power of Python and the powerful data analysis library Pandas to supercharge your journalism and work with large data sources in an efficient and reproducible way. This course will be hands-on using Google Colab to write, run and manage the code you write as part of the course.
Participants will be introduced to the many uses of Python for investigative data-driven research, with a range of opportunities to put the techniques into practice using examples and exercises from real-life data and investigations.
The final session will guide participants through planning and setting up their own Python projects on which to begin implementing the techniques learned throughout the course. It is strongly recommended that participants have identified analytical projects they would like to apply Python to prior to joining the course.
Participants will also have the opportunity to submit their projects for review and feedback one month after the final session. During this month, it is expected that participants will put aside between 4 and 10 hours to work on their projects before submitting them for feedback.
N.B. Python is a great language for writing web scrapers, however, this course will focus on Python’s application to data analysis. If your main objective in learning Python is for scraping, then our specific Web Scraping for Journalists courses would be more suitable.
This course will need you to have the following software/apps/tools on your computer:
- A Google Colab account.
- Zoom app. During these sessions the trainers often need participants to be able to share their screen in order to solve problems or demonstrate techniques: if you are on a work computer, or other device which has screen sharing on Zoom disabled, please consider getting the restriction lifted for the duration of this course. If you can’t share the screen because the function is blocked or disabled, it makes it much harder to solve problems and learn from them. But, rest assured, nobody will be forced to share their screen against their will.
- Camera and audio
This course will be hosted on Zoom. To find out more about how we use Zoom, please check out our Zoom InfoSec page.
Following the final session, particiants will have three weeks to continue working on their own pythjon project. If the project is submitted by December 1, then they will receive feedback and guidance on further steps by December 8
Project Submission: December 1 2023
Project Feedback Received: December 8 2023
- 6 November 2023 10.00–12.00 GMT (UK Time)
- 7 November 2023 10.00–12.00 GMT (UK Time)
- 8 November 2023 10.00–12.00 GMT (UK Time)
- 9 November 2023 10.00–12.00 GMT (UK Time)
- 10 November 2023 10.00–12.00 GMT (UK Time)
In line with our non-profit mission, our pricing operates on a sliding scale, ensuring large organisations pay more to subsidise places for smaller newsrooms, freelancers and students.
*Student places for this course are capped, due to limited capacity. Anyone registering as a student will be asked for a photo/scan of their student ID ahead of the course.
**Employed individuals who cannot have their employers pay for the course are entitled to the freelancer rate. Note that we are a small charity and rely on your honesty so please do not register as a freelancer if your employer is reimbursing you for the course.
We have a strict policy of No Refund and No Transfer of bookings.