From the course: Enhancing Your Productivity as a Data Scientist with Generative AI
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Course recap and key takeaways
From the course: Enhancing Your Productivity as a Data Scientist with Generative AI
Course recap and key takeaways
- [Instructor] So let's review what we've covered in our course about enhancing our productivity as data scientists with the help of generative AI. In this course, we explored five key areas. We learned how GenAI fits into data science, explored the basics of prompt engineering and saw how to implement AI assistants and copilots ourselves using real world examples. We also discussed balancing automation with human expertise, and how to build efficient AI-augmented workflows. I hope you could see how GenAI really helps at every stage of a data science project. For business understanding, it helps to define problems better, align with business goals, and interpret data much faster. In data prep, it cuts down cleaning time. And during modeling, it speeds up development, while at the same time getting higher quality outcomes. When evaluating machine learning models, GenAI helps us to deliver an improved documentation while spending less time creating it, which leads to higher…
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