In this program, you’ll master the skills you need to establish a successful data science career. Our curriculum was developed with leading industry partners to ensure students master the most cutting-edge skills. Demand for qualified employees with advanced data skills has never been higher, and graduates will emerge fully job-ready.
Overview
Syllabus
Prerequisite Knowledge
You should be familiar with descriptive statistics and have some experience working with data in spreadsheets or SQL.See detailed requirements.
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Introduction to Python
Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.
Explore US Bikeshare Data -
Introduction to Data Analysis
Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Learn how to work with data in Python using libraries like NumPy and Pandas.
Investigate a Dataset -
Practical Statistics
Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models.
Analyze Experiment Results
Taught by
Mat Leonard, Sebastian Thrun, Juno Lee , Derek Steer, Mike Yi, David Venturi, Chris Saden, Sam Nelson, Denisa-Maria I., Lucia B., Sherif S., Andy e., Reem A. and I Gede Wibawa C.
