She Loves Data: Introduction to Data Analytics workshop in Melbourne! This is our signature workshop, an introduction to the logical thinking behind data analytics and business intelligence.
It provides an overview of data analytics infrastructure and best practices through a hands-on case study. Participants will get to build their own analytics solution based on real-world data. All with great guidance and support of experienced data analytics professionals.
The course aspires to light a spark of curiosity that could end up leading to a career with endless opportunities, where the sky is the limit.
-The event is for women only.
-This workshop covers the foundations of data analytics and is designed for beginners in the data field. There are no formal prerequisites to taking this course, but please check the content before registering to make sure that it meets your requirements. No prior knowledge of analytics or programming skills is needed, we’ll start with the foundations.
-You only need to bring your own laptop. Don’t forget the charger, it’s going to be a long day!
Stacy Sterling, REA
Passionate about teaching data and making 3D charts extinct
Leigh-Anne Sharland, Sportsbet
Empowering people to live extraordinary lives through Data
Emma Urli, Yellowfin
Data Nerd and Chatterbox
Is it free?
Is it only for women?
What should I bring to the workshop?
You’ll need only your laptop and a charger (super important). It’s going to be a long day and you need that battery!
Do I need to install any software before the workshop?
No, you don’t! Just bring a laptop and your positive learning attitude
What if something changed and I’m not able to attend the event anymore?
Please let us know if you won’t be able to attend our workshop, so we can give your place to somebody else. Contact us and we’ll help you. The email you need is Priyanka@Shelovesdata.com
How can I contact the organizer with any questions?
For all other burning questions you can send an email to
If you want to find out more about us, our workshops and all things Data, please join our community on Facebook and be part of our #DataTribe!