Data Culture: Data Science and Machine Learning Solving Real Problems
summary
Hotmart describes building a company-wide data culture over four years by adopting obsessive measurement and embedding data-driven decision making. They detail practical uses of machine learning—classification and predictive models—together with open-source tools like Dremio and Jupyter to move from theory to production and deliver daily business value, and they present concrete application examples of Data Science and ML that improved results.
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chapters (9)
- 0:00Introduction
- 3:11Data culture myths
- 7:46Auditable data and governance
- 11:58Data democratization
- 17:44Accessible data and tools
- 28:02Actionable data and Machine Learning
- 35:30Machine Learning case studies
- 41:09Continuous improvement cycle
- 42:15Q&A
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