Nanodegree Program
Get hands-on experience running data pipelines, designing experiments, building recommendation systems, and more.
Get hands-on experience running data pipelines, designing experiments, building recommendation systems, and more.
Built in collaboration with
IBM
Advanced
4 months
Real-world Projects
Completion Certificate
Last Updated November 6, 2023
Course 1 • 1 hour
Course 2 • 3 weeks
Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
Course 3 • 18 hours
Software engineering skills are increasingly important for data scientists. In this course, you'll learn best practices for writing software. Then you'll work on your software skills by coding a Python package and a web data dashboard.
Course 4 • 1 month
In data engineering for data scientists, you will practice building ETL, NLP, and machine learning pipelines. This will prepare you for the project with our industry partner Figure 8.
Staff Data Scientist
Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.
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.
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.
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.
Instructor
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.
Instructor
As a data scientist at Looplist, Juno built neural networks to analyze and categorize product images, a recommendation system to personalize shopping experiences for each user, and tools to generate insight into user behavior.
Instructor
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.
Average Rating: 4.8 Stars
(781 Reviews)
Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.
Demonstrate proficiency with practical projects
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
Gain proven experience
Retain knowledge longer
Apply new skills immediately
Top-tier services to ensure learner success
Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.
Get help from subject matter experts
Learn industry best practices
Gain valuable insights and improve your skills
Data Scientist
