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- Maximum flexibility to learn at your own pace.
- Cancel anytime.
At 10 hrs/week
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We recommend students are familiar with machine learning concepts, like those in the Intro to Machine Learning Nanodegree Program. In addition, students should be familiar with Python programming, probability, and statistics.
Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
Develop software engineering skills that are essential for data scientists, such as creating unit tests and building classes.
Learn to work with data through the entire data science process, from running pipelines, transforming data, building models, and deploying solutions to the cloud.
Learn to design experiments and analyze A/B test results. Explore approaches for building recommendation systems.
Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will serve as a demonstration of your valuable abilities as a Data Scientist.
Data Scientist at Nerd Wallet
Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.
Data Science Instructor
As a data scientist, Juno built a recommendation engine to personalize online shopping experiences, computer vision and natural language processing models to analyze product data, and tools to generate insight into user behavior.
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity’s Self-Driving Car Engineer Nanodegree program.
Data Analyst Instructor
Mike is a content developer with a multidisciplinary academic background, including math, statistics, physics, and psychology. Previously, he worked on Udacity's Data Analyst Nanodegree program as a support lead.
VP of Engineering at Insight
David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.
Senior Data Engineer at Netflix
Judit is a Senior Data Engineer at Netflix. Formerly a Data Engineer at Split, where she worked on the statistical engine of their full-stack experimentation platform, she has also been an instructor at Insight Data Science, helping software engineers and academic coders transition to DE roles.
Pay as you go