Getting Going with Power BI

Trainer: Fuaad Coovadia
Duration: 1 hour
Delivery: Online
Timing: 10h00-11h00, Wednesday 13 March, on Zoom
Cost: Entirely free
A free live hour on Zoom to get going with Power BI. Learn how Power BI can help you get more from your data, even beyond the capacities of Excel.

There are no upcoming sessions at this time. Click here to watch the recording of our latest session.

Join Fuaad Coovadia’s beginner-friendly and completely free class – a one-hour live Zoom session on Wednesday 13 March, 10h00-11h00 South Africa time.

In this free introductory session, data scientist Fuaad Coovadia will get you going with Power BI. You’ll learn how Power BI can help you get more from your data, beyond the capacities of Excel. Fuaad, a South African postgraduate at Oxford University, will cover the basics of importing and transforming data into Power BI, and how to use the tool to create impactful visualisations. Fuaad’s practical tools, shortcuts and cheatsheet provide the perfect start to working with Power BI. Don’t miss this opportunity to enhance your skills and propel your career forward.

Click here to register

You will receive a Zoom invitation shortly after registering.

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Fuaad Coovadia

Fuaad Coovadia

Fuaad Coovadia is a data scientist working on his PhD at Oxford University’s Saïd Business School. His extensive Power BI expertise was built as the Head of Data Science and Pathway Intelligence of Harambee Youth Employment Accelerator, which runs a platform with over 4 million users. Fuaad has taught scores of people how to use Power BI and also moonlights as a stand-up comedian, so his courses are not only highly effective but also very entertaining.

  • Rhodes scholar
  • Masters from Oxford University, focusing on advanced econometric data techniques
  • Regularly collaborates with local and international data science teams
  • Deep experience building dashboards for external users, developing and maintaining internal self-service data tools, and using Python to analyse data and train machine learning models