The data landscape is ever shifting with new tools emerging to keep up with digital transformation and AI. Join the DataWomen team for the Everyday AI webinar as we share tips for keeping pace with the data tools landscape, opportunities to upskill in the data space and some really cool data science applications achieved through Dataiku, one of the world’s leading platforms for everyday AI.
Can’t make the live webinar? Register anyway and we’ll send you the replay!
While you’re at it, sign up for our next interactive session where we will announce the details of the DataWomen Hackathon!
More Ways to Connect with DataWomen
Part of the DataWomen community is an intentional mentoring program. You can learn more about that program and how to get started on our landing page. You can also join our LinkedIn group to get plugged into the DataWomen network right away!
We’re always on the lookout for stellar individuals to contribute to DataWomen and help the community thrive. If that describes you or someone you know, reach out to Azucena Coronel, Carol Prins or Colleen Chen.
Azucena Coronel, Data Architect at Interworks (Sydney). Azu has been Business Intelligence consultant for 10+ years, and she’s in love with using data and technology to help clients. Azu has worked across several industries and enjoys a good data challenge. She’s passionate about helping others in their data journey and continuous learning
Colleen Chen, Solutions Engineer at Dataiku and Research Fellow at the University of Melbourne. With a background in urban planning, law and data science, Colleen recently became a technical consultant after 3 years as a lawyer and policy specialist in the Australian Government. She is committed to helping others enter the vibrant field of data science and apply their unique knowledge to solving meaningful problems
Carol Prins, Analytics Consultant at InterWorks (Melbourne). Carol fell in love with the art of storytelling with data when she was completing her master’s degree in Data Science at Monash University. She has been in the data space for more than 3 years and finds purpose in helping her clients build user communities for self-service analytics