Data-Driven Investigations – Online, Intensive (PM)
This course will give participants an opportunity to take their core data skills to the next level and combine them with advanced internet research for rich, in-depth investigations.
Group size: max 9 people.
Class duration: 2hrs x 5 consecutive days (Monday to Friday)
Level of participation: very high. Hands-on, screenshares, regular Q&As and participant contributions.
The data is rarely the story in itself. This course will help you find the human face to add impact and relevance.
It is highly recommended that you approach the course with ideas already in mind for data-driven stories. The central aim of the course is for attendees to work on live projects throughout the sessions and leave with their own stories at an advanced stage of research.
“Honestly one of the most stimulating courses I’ve ever attended. Brilliant content, brilliant trainers.”
This course will be divided into 5 modules designed to take you through the steps to build a lead into a full investigative story. Drawing from real life examples and scenarios, we will guide attendees from hypothesis to story, including sections on working with spreadsheets, scraping and importing data, investigating people and companies, all using the latest tools and techniques.
The mixture of own projects, group exercises and teaching slides was perfect. Astonishing, how well this worked online.
Although this is not a compulsory prerequisite, it is preferable that you know your way around Excel/Google Sheets, and more specifically its PivotTable tool, before attending this course. Using PivotTables to ‘interview’ data is something we teach in our “Finding Stories with Data” course.
This course will need you to have the following software/apps/tools on your computer:
- MS Excel 2016 or newer (If do not have access to Excel, there is a free trial version available).
- Zoom app
- 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.
Exercises and additional viewing of tutorial videos will be provided to supplement the training between sessions.
Our training is not recorded: if you miss a session, it is lost – you cannot watch a recording of it, nor will you be allowed to attend that session at a later date.
- 28 March 2022 15.00–17.00 Timezone: GMT (UK Time)
- 29 March 2022 15.00–17.00 Timezone: GMT (UK Time)
- 30 March 2022 15.00–17.00 Timezone: GMT (UK Time)
- 31 March 2022 15.00–17.00 Timezone: GMT (UK Time)
- 1 April 2022 15.00–17.00 Timezone: GMT (UK Time)