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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 part-time course & full-time 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.
Have questions? Get answers to frequently asked questions. FAQs
What you'll receive upon completion:
Certificate of completion
3.3 Continuing Education Units
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