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 IS THIS COURSE 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.
-The ability to tackle courses in data science, particularly our Introduction to Data Science part-time course and full-time immersive Data Science Bootcamp.
-An understanding of the fundamentals of mathematical concepts in linear algebra, calculus, probability, and statistics.
-The ability to write Python code to solve mathematical problems using linear algebra, calculus, probability, and statistics.
WHAT YOU'LL RECEIVE UPON COMPLETION:
- Certificate of completion
- 3.3 Continuing Education Units
There are no prerequisites for this course - if you’re an absolute beginner or just interested in data science, this course is for you!
Students only need to be able to install and verify the installation of Anaconda (for Python 3) by running a "Hello World" sample code.
CONSIDERING OUR IMMERSIVE DATA SCIENCE BOOTCAMP?
Part-time course alumni can apply the amount of tuition paid for one part-time course towards enrollment in an upcoming bootcamp upon admittance.
NumPy, Matplotlib, Python, Data Science, Pandas