This course teaches data scientists how to use generative AI to enhance their workflow in a practical, hands-on way. Along 20 interactive use cases, instructor Tobias Zwingmann shares practical AI-augmented techniques for each stage of the data science process, including problem formulation, data preparation, modeling, and deployment. Through hands-on exercises, learn AI tools to create and optimize models, interpret results, and communicate insights effectively. Check out this course to find out how you can apply generative AI methods to significantly increase your productivity and tackle more complex data science challenges.
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