

EVENT DETAILS 
Considering applying to our Data Science Bootcamp but need to build or brush up on your basic skills first? Our Beginner Python & Math for Data Science course was designed for you, the beginner looking for an introduction to the building blocks essential to developing data science skills or forging a new career in the field. This course sets you on the right track, covering everything you'll encounter during the bootcamp application process. You'll learn:
Introduction to programming in Python
Common Python libraries: NumPy, Pandas, Matplotlib
Foundations of linear algebra
Foundations of calculus
Foundations of probability
Foundation of statistics
Who the course is designed for:
Those interested in applying to our Data Science Bootcamp but who have little to no prior experience or need a refresher with fundamental Python programming and/or math concepts necessary to succeed at the next level. The only prerequisite is to have Python installed.
Outcomes
The ability to tackle courses in data science, particularly our Introduction to Data Science parttime course & fulltime immersive Data Science Bootcamp.
An understanding of the fundamentals of mathematical concepts in linear algebra, calculus, probability, & statistics.
The ability to write Python code to solve mathematical problems using linear algebra, calculus, probability, & statistics.
What you'll receive upon completion:
Certificate of completion
3.3 Continuing Education Units
DAMIEN MARTIN
Instructor
Damien has experience bringing esoteric subjects down to Earth. Currently, he is a Data Scientist at Stitch Fix focusing on Inventory Algorithms & a Parttime Data Science Instructor for the Corporate Training team at Metis. Previously, he was a Senior Data Scientist at Metis who helped develop & deliver curriculum to accelerate data science learning for teams. After completing a PhD in cosmology, he spent his time developing projectbased learning in physics, math & computer science at small liberal arts colleges. He loves developing projects that are relevant & interesting, while still highlighting the important concepts. After leaving the classroom, Damien worked as a curriculum designer & data scientist for a small San Francisco recruiting startup for people looking for coding jobs. When he's not working on lectures, Damien can be found studying Wing Tsun, playing Go, or on a photo hike.





