Pay as you go
- Maximum flexibility to learn at your own pace.
- Cancel anytime.
At 10 hrs/week
Get access to classroom immediately on enrollment
This is an introductory program and has no prerequisites. In order to succeed, we recommend having experience using a computer and being able to download and install applications.
Meet your instructors and learn how to optimize your classroom. Learn how people use data to answer questions, and find your own insights from a data dashboard.
Learn how to use statistics and visuals to find and communicate insights. Develop Excel skills to manipulate, analyze, and visualize data in a spreadsheet. Build Excel models to analyze possible business outcomes.
Learn to use Structured Query Language (SQL) to extract and analyze data stored in databases.
Learn to apply design and visualization principles to create impactful data visualizations, build data dashboards, and tell stories with data.
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.
Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
CEO at Mode
Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.
Sam is the Product Lead for Udacity’s Data Analyst, Business Analyst, and Data Foundations programs. He’s worked as an analytics consultant on projects in several industries, and is passionate about helping others improve their data skills.
Pay as you go