Livestream: Talks in Data Science


This event will be Livestreamed here:

Metis is teaming up with ChiPy Data SIG and PyLadies Chicago to present two Talks in Data Science.

Introducing Bayesian Data Science with Python: Using PyMC3
By Lara Kattan

Get started with using Python for data science by learning to build a simple model in the package PyMC3. Learn how to structure a data science question, organize your dataset, and start running simple models using a Bayesian paradigm. Bayesian statistics has steadily gained attention and importance as a paradigm of doing data science in the last few decades and in the past few years has started to move from academia to industry. Kick off your data science journey with this exciting new way of looking at data.

Lara is constantly awe struck by how math and statistical models can so reasonably approximate the messy real world, and loves to share her passion for the theory.

Lara comes to Metis from McKinsey, where she worked with financial institutions on risk modeling. Prior to settling into the practical world of consulting, Lara received a master's from the University of Chicago, where she had the privilege of thinking about problems with no real-world implications.

Image-guided diagnosis of prostate cancer: Teaching machines to differentiate between malignant and benign tissues
By Layan Nahlawi

In this talk, we discover how stochastic models, namely Hidden Markov Models (HMMs), can be used to provide image guidance to physicians during diagnostic procedures of prostate cancer. We’ll discuss how HMMs harvest tissue-specific information from ultrasound-based signals of prostate and use it to report malignancy likelihood. Using these likelihoods, risk-maps of prostate tissues are built to assist clinicians in collecting specimen from regions highly likely to be cancerous. We’ll also go over my published-results on this approach to show how it improves distinguishing between tissue types compared to the state-of-the-art. We'll also take a quick look at how Keras deep learning library is used for larger datasets of prostate ultrasound-images.


Metis ( accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

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