Hi ,
Tomorrow is the last day of January and if you're anything like most people, you've already given up on your New Year's
Resolutions for 2023 - if you made them to begin with.
Only 9% of people successfully keep their New Year's Resolutions each year and 80% of people abandon their resolutions by February.
According to a study conducted in the UK, two of the top 10 New Year's Resolutions are pursuing a career ambition and learning a new skill.
If those were your resolutions for 2023, it's not too late to take your place among the successful 9%.
Value Driven Data Science returns on Thursday and this year's season is jam-packed with advice from business leaders and experienced data professionals on how you can use data science to create business value and grow your career as a data scientist.
Here's a sneak peek at some of the topics and guests lined up for 2023:
- Data science in the metaverse with AI and computer vision researcher and engineer Romeo Cabrera Arévalo;
- Learning data science at scale and ChatGPT with Georgia Tech's Executive Director of Online Education, Dr David Joyner;
- The role of data in environmental justice with environmental lawyer Robin Rotman and engineer Amber Spriggs;
- Graph-powered data science with Dr Alessandro Negro, author of Graph-Powered Machine Learning and Knowledge Graphs Applied;
- Better workplace conversations for data scientists with the creator of the Guardian Actuarial Easier Conversations
course, Julia Lessing;
- Breeding data science unicorns with Dr Peter Prevos, author of Principles of Strategic Data Science and Data Science for Water Utilities;
- Building your authority as a data scientist with software developer turned business coach Jonathan Stark;
- How to avoid an AI scandal with data and AI ethics expert Chris
Dolman;
- Improving the data science customer experience with customer experience consultant Dasun Premadasa.
If you haven't caught up with Value Driven Data Science yet, you can listen to all the episodes from 2022 HERE.
Talk again soon,
Dr Genevieve Hayes
