Course Objective

The main idea is to demystify the world of data and decode the latest buzzwords to ordinary humans. This course will not make you an analyst or BI developer, but it is structured to help you understand the foundation. The goal is to help you understand that this space is not as complicated as it looks and everything is a matter of structured learning. This course aspires to light a spark of curiosity that could end up leading to a career with endless opportunities, where only the sky’s the limit. Literally.

Course Content

This course is designed for “data beginners” as an introduction to logical thinking behind the data analytics and business intelligence. It aims to provide a good overview of data analytics infrastructure and best practices through a hands-on case study. Participants will get to build their own analytics solution on real data with real business problems. All this with a guidance and support by experienced data analysts and data architects professionals.


There are no formal prerequisites to taking this course, She Loves Data is open to all women and girls. No knowledge of analytics or programming skills is required. You will only need to bring your own laptop and if you do not have one please advise in advance (don’t forget your charger, it’s going to be a long day). We, together with our tech partners, will provide the necessary technology.


9.00Welcome, team and day introduction
9.10Introduction to data, programming languages, types of data architecture
9.30How and why do you work with data? Intro to business case and definition of the business questions
10.30Coffee break
10.50Data integration, ETL - hands on
11.30Data integration, enrichment, automation - hands on and desired outcome definition
12.30Lunch and mentor sharing
13.30Intro to best practices for data visualization and data interpretation; and business case questions recapitulation
15.00Coffee break
15.15Data insights and visualizations interpreted and hypothesis - hands on session
16.30What's next? The types of skills a good data scientist or analytics consultant needs
Closing Remarks
If you have any questions email us at premie.naicker@greenskillsconsulting.com. If you would like to partner with us or sponsor She Loves Data and help us run the She Loves Data programme please do the same!