Want to learn more about data science but have no idea where to start? This course is for absolute beginners looking for an introduction to the basic Python programming & mathematical principles essential to learn as a first step toward developing data science skills or a new career in the field. We will cover:
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:
For beginners who want to learn data science from scratch & have no prior experience with fundamental Python programming & math concepts. Whether you're considering a new career in data science, you want to understand the basics in order to advance in your current career, or you want to be able to communicate more effectively with data-oriented colleagues, you'll complete this course with a solid understanding of some of the basic skills required. The only prerequisite is to have Python installed.
The ability to write basic Python code such as functions, data manipulation, & visualization.
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.
Ability to tackle courses in data science, particularly our Introduction to Data Science & Statistics courses.
What you'll receive upon completion:
Certificate of completion
Certificate link & instructions on how to add to your LinkedIn profile
3.3 Continuing Education Units