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"She LovesData – Woman in IT" workshop

(Formally known as Data Girls)

With women accounting for only 25% of all IT jobs, #SheLovesData aims to even the playing fields in a traditionally male-dominated environment by providing data analytics and Business Intelligence training to women, whilst simultaneously addressing the constant technology skills shortage.

Formerly known as Data Girls, #SheLovesData was originally started in the Czech Republic by Czechitas and, to date, has trained no fewer than 2,000 women.

Now, for the first time in South Africa: 

Course Content

  • An introduction to the logical thinking behind data analytics and business intelligence
  • An overview of data analytics infrastructure and best practices 
  • Hands-on case study
  • Build your own analytics solution, using real data and business problems
  • Create a basic BI project using all the presented tools 
  • Build your first reports and dashboards
  • Learn how ETL works and how to load data to Yellowfin (or any other BI tool)
  • Prepare the final visualisation
  • Guidance and support from experienced data analysts and data architects


  • Open to all women
  • No formal prerequisites, tailored to complete novices
  • No knowledge of analytics or programming skills required

Excluded: laptop and charger (essential)
Included: lunch and refreshments

Join hundreds of Data Girls around the world and use this opportunity to learn about data analytics. We hope it encourages more women to consider a career in this growing field.

A joint partnership between AIGS (Yellowfin BI distributors, sub-Saharan Africa), Greenskills Consulting and 9th Bit.

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  • 08h45 – Registration
  • 09h00 – Welcome, team and day introduction
  • 09h10 – Introduction to data, programming languages, types of data storage, data architecture
  • 10h10 – How and why do you work with data? Intro business case and definition of the business questions
  • 10h30 – Coffee break
  • 10h50 – Data integration, ETL – hands on
  • 11h30 – Data integration, enrichment, automation – hands on and desired outcome definition
    (Time permitting: live e–commerce BI and data science showcase)
  • 12h30 – Lunch and mentor sharing
  • 13h30 – Intro to best practices for data visualization and data interpretation; and business case questions recapitulation (Yellowfin)
  • 15h00 – Coffee break
  • 15h15 – Data insights and visualisations interpreted and hypothesis – hands on session (Yellowfin)
  • 17h30 – Showcase of the visualisations and business insights
  • 18h00 – What’s next? The types of skills a good data scientist or analytics consultant needs
  • Q&A
  • Closing remarks

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