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The "Fundamentals of Data Science:” Take One-Day Workshops on Statistics, Data Visualization, Deep Learning & More

Big data has changed the way we work, live, and play. Data science—developing and testing models and algorithms—helps us gain knowledge for ourselves and provide insights to others.

Fundamentals of Data Science, a series of one-day workshops offered by the Stanford Institute for Computational and Mathematical Engineering (ICME), provides an introduction to multiple aspects of data science for those who are new to the field and those seeking to broaden their education and skills in data science. Students can sign up for one workshop, or several throughout the week. Students who complete four workshops will qualify for the Stanford ICME Summer Workshops Certificate of Completion. For more information on ICME, visit icme.stanford.edu.

These workshops are not eligible for tuition discounts through Stanford Continuing Studies, but ICME offers discounts for eligible affiliates and partners. See below for details:

Stanford staff and full-time Stanford students: You may be eligible for a tuition discount if you register directly through ICME. The tuition for Stanford staff is $100 and the tuition for full-time Stanford students is $75. For more information and to register with these discounts, visit https://sto.stanfordtickets.org/icme2019/homepage.

ICME partners and affiliates qualify for a discount; if you think you qualify and have not received a discount code separately, email: icme-contact@stanford.edu. You will also need to register through ICME rather than Continuing Studies.

Monday, August 12
Linear Algebra
Introduction to Statistics
Tuesday, August 13
Introduction to Programming in R
Introduction to Mathematical Optimization
Introduction to Python
Wednesday, August 14
Introduction to Machine Learning
Thursday, August 15
Introduction to Deep Learning
Friday, August 16
Deep Learning for Natural Language Processing
Introduction to High-Performance Computing

Saturday, August 17
Interactive Data Visualization in D3

Stanford Institute for Computational & Mathematical Engineering (ICME): https://icme.stanford.edu