New course prepares professionals for a data-driven world

Person using a tablet.

Photo courtesy of Data Science Ready

2 min read

Data science is at the core of modern business, impacting industries ranging from healthcare to government to advertising. In response to the growing demand, Harvard Online is announcing a new course, Data Science Ready, to help managers speak the language of data science and contribute to data-oriented discussions.

The nearly code- and math-free, four-week online course will introduce prediction, causality, visualization, data wrangling, privacy, and ethics. Data Science Ready is a new Harvard Online course in collaboration with Harvard Business School Online (HBS Online). Delivered via the HBS Online course platform, it brings concepts to life using real-world examples, while prompting participants to think critically about how to apply those lessons in their own workplaces.

Experts will speak firsthand about how data science is changing the landscape in their industry. They include:

  • Brian Powers from Brigham and Women’s Hospital
  • Mauricio Santillana from Boston Children’s Hospital
  • Ben Ewen-Campen from the City of Somerville, Mass.
  • Kade Crockford from the American Civil Liberties Union
  • Dan Restuccia from Burning Glass
  • Former Boston Police Commissioner Ed Davis
  • Faculty from Harvard University, the University of Pennsylvania, and the University of Chicago

“It’s an analytical world, so to remain relevant and be successful in business today, you need a foundation in data science,” said Dustin Tingley, course instructor and Harvard University’s deputy vice provost for advances in learning. “We’ve designed this course for non-technical professionals to level the playing field and enable all managers to contribute and excel in data-oriented organizations.”

In this course, participants will:

  • Gain a fundamental understanding of data science, including the essential concepts, skills, and vocabulary needed to contribute effectively to data-oriented discussions
  • Explore predictions, causality, privacy, alternative data sources, data ecosystems, and big data
  • Enhance your learning through conversations with and feedback from a global network of peers
  • Access tools and techniques you can immediately apply on the job

Applications for the four-week course will be accepted through Jan. 14, 2021, and the course will begin on Jan. 27. Participants can expect to dedicate approximately five hours per week to the course material.

For more information or to apply for the course, visit the Data Science Ready page.

Affiliations are listed for identification purposes only.