Hi ,
For many people, data science is synonymous with machine learning and many data science courses are little more than overviews of the most used machine learning algorithms and techniques.
Where the majority of data science courses fall short is they neglect to bridge the gap between data science theory and business reality, resulting in many data scientists who are technically strong but unable to create value from their work. However, this doesn’t necessarily have to be the case.
In the latest episode of Value Driven Data Science, I'm
joined by tech team productivity guru Douglas Squirrel to discuss systems and techniques data scientists and their managers can use to make data science teams profitable.
Highlights include:
- Douglas Squirrel's journey: From CTO to profitability guru (00:00)
- Integrating data science with business goals
(10:58)
- The surprising technological growth in Africa (17:38)
- Overcoming the Walled Garden: strategies for tech team success (19:14)
- The Lean Startup approach to data science (26:48)
- The importance of direct feedback in data science (32:50)
- Transforming data science with human empathy (33:39)
- Leveraging action science for effective communication (42:46)
- Elephant Carpaccio (47:41)
- Techniques for data scientists to create business value (51:22)
- Creating productive conflict for business innovation (53:43)
- Final thoughts and resources (01:00:28)
You can listen to this episode by clicking the button below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
