AI-First Product Management
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
Dr Tamara Sheret is the founder of Swamphen Enterprises. Tamara consults to a range of companies in data science and radio frequency engineering. She also teaches data science and coding, and can be heard frequently speaking about her work. A physicist by training, she has always wrangled large data sets. Having worked for industries as diverse as defence, education and insurance, with jobs both in large companies and small start ups, the data she has worked with is very varied! Along the way she has coded in many languages, settling most recently in Python and Matlab as the two favourites.
As a data scientist Tamara specialises in the first look at data. This is typically data no one has use before and she uses current techniques in data science to reveal its secrets. She has a lot of experience working with time series data and the complexities this type of data brings. This work is supported by a sound understanding and execution of Python.
Tamara holds a MPhys in physics and astronomy from the University of Sheffield and a PhD in antenna design and analysis from Queen Mary University London. She is a qualified teacher holding both a PGCE from the University of Cambridge and Qualified Teacher Status.
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
This course is designed to prepare learners to use the most powerful Generative AI tools and apply the strategic frameworks needed to leverage them effectively and responsibly.
In this course, the learner will gain a hands-on introduction to data analytics and visualization using SQL and Tableau.
Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.
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