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Before there was machine learning, there was linear algebra. And if you’d like to be proficient in data science, a basic understanding of linear algebra is essential. If you’ve ever wished to dive deeper into the math of your favorite algorithms, or if you’ve been meaning to crack open that college linear algebra book for a refresher but didn’t know where to start, this is the event for you!
We’ll be going at a fairly quick clip through the fundamentals of linear algebra. The intention is not so much to learn all the linear algebra you’d ever need for data science, but rather to give you a solid footing so that you can kickstart your own studies. We’ll be starting with the basics and will assume no prior knowledge in linear algebra.
We’ll spend about 90 minutes going through a lecture, with plenty of opportunity to ask questions. No technical background is required and you don’t need to bring a laptop (unless you’d like one to take notes on). You might want to bring a notebook and pencil to take notes. There will be time before and after to mingle and ask questions or for recommendations on your personal math journey.
Are you thinking about applying to the Metis Data Science Bootcamp? Check out the Metis Admissions Prep here: https://www.thisismetis.com/admissions-prep
Lara Kattan is a Senior Data Scientist at Metis. Sis 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. There her passion for unstructured thinking and novel problem solving were nurtured and she took the lessons learned with her into conference rooms and PowerPoint decks. The statistical and mathematical elegance of data science are what animate her the most, but she gets her biggest joy from demystifying the rigorous mathematics for all audiences. If forced to snap out of her mathematical reveries, she's probably doing yoga, riding a bike, or drinking too much coffee.
Metis (thisismetis.com) 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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