Machine Learning for Business With Python

Stanford Continuing Studies

Stanford Continuing Studies

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About the course

Data is the hidden asset that all companies have, yet few are using it to its full potential. In recent years, tools and techniques to unlock the power of data have become extremely accessible to all. This course is designed to explore the amazing array of powerful business insights that analysts can unlock through the application of relatively easy-to-use, open source tools such as Python, Scikit-Learn, TensorFlow, CausalImpact, and Altair. Each week, we will look at a different real-life business-related problem and use the latest data science tools and techniques to solve it. For example, we will measure the causal impact of a marketing campaign that a business has undertaken, predict whether a customer is likely to leave, or determine how much to charge for a new product. This will allow students to intuitively understand the entire workflow, from identifying a business problem to gathering the data and implementing the solution in code in a scalable and repeatable way. We will also have guest speakers from data science teams in the tech industry who are tackling these types of problems daily, plus activities such as optional coffee meetups and conferences. Students will come away from the class with an intuitive understanding of how to better formulate business problems for a data science setting and the tools to then solve those problems.

Machine Learning for Business With Python at Stanford Continuing Studies

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

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