From Software Engineer to Data Scientist (and Vice Versa)
summary
Compares skills needed for software engineering versus data science, names machine learning and AI as the technologies involved, and argues both profiles are required to build real-world intelligent applications. Describes practical guidance for transitioning between software engineer and data scientist roles while carrying best practices from each discipline.
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chapters (8)
- 0:00Introduction
- 1:12Career path
- 8:58Software engineering vs data science
- 13:54Transition to data science
- 24:14Essential statistics and probability
- 32:00Algorithms and machine learning
- 37:19Data science ethics
- 39:51Q&A
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