Data Science for Managers and Business Leaders

A remote course designed to introduce a business first approach to data science and instill the use of data-driven decision making.
Live Instructor
5 days
3 hour class/day

Fall Cohort

Start Date




Course Description

Data Science for Managers and Business Leaders is designed to help leaders understand the value in data and their data science team. We will take students through the data lifecycle, highlighting data science and machine learning tools and techniques all from a business and product development perspective.

Collaborative Remote Learning

Just like our remote data science bootcamp, this data science course is available wherever you prefer to learn. By using modern-day collaboration tools, students learn and chat with instructors and partners to work through real-world problems and understand outcomes. This is not a self-paced course. Every class is taught live and office hours are available daily for instructors and teaching assistants to answer all your questions.

After completing this data science course, each new alumnus will receive a certificate of completion co-sponsored by the University of New Mexico as well as 5 continuing education units.

What you will learn

Digital Transformation: Understanding the landscape and challenges This module will focus on helping business leaders understand how modern companies are using cutting-edge techniques in AI and big data to gain a competitive advantage and some of the challenges that they face.
Modern machine learning libraries are a blessing and a curse. Their ease of use has shifted the focus of data scientists from problem solving to technology. In this module we will focus on developing a problem-solving mindset to using technology instead of the other way around.
There is a lot of hype around machine learning tools and techniques. What most people don’t realize is that data always beats algorithm. In this module we will be discussing the 80/20 rule in data science and how good data is always the most important part of a data science pipeline.

“In God we trust. All others bring data”
Metrics (key performance indicators) are the lifeblood for a data-driven organization, but most organizations define too many non-actionable and irrelevant metrics. In this module, we will discuss the common pitfalls in evaluating success and understand how they can be avoided.

Going back to the basics, this module will focus on building a high-level understanding of some popular machine learning techniques and how they can be leveraged to solve different types of business problems.
Now that we understand the value of good data, we need to understand how to make sure that our data is indeed good. This module will introduce attendees to the concept of data governance and the business risks to not having a strong data governance policy.
Implementing a strong data governance policy can seem to be a very challenging task for an up and coming digital organization. However, modern big data tools make implementing such a policy a relatively easy. In this module, we will focus on understanding how to effectively use these tools for data governance.

There's more to your data

According to MIT Sloan Management Review, leaders too often make the mistake of seeing data too narrowly — as something relegated to IT and data science teams. This can lead companies to overlook data’s transformative potential and underinvest in critical areas such as people, processes, and culture.

What our students say

Jenna Butler

Senior Software Engineer


One-time payment
USD 2799
USD 3799
27% off

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Frequently Asked Questions

Data Science for Managers and Business Leaders is taught with a “no code” approach. The curriculum is taught from a business and product development perspective to help managers and business leaders understand data science methods/concepts and work more efficiently with their data science team. Whereas the data science bootcamp is highly technical and focuses on practicing each concept taught.
This course, like all our courses and bootcamps, is taught live. Courses are completed in 5 days, 3 hours/day, and conducted remotely. Classes are taught live, and you can expect to spend an additional 1-2 hours outside of class every day on assignments.
You can find a summary in the “What You’ll Learn” section of this page, or you can request the curriculum here, and have it land in your inbox. The document covers the curriculum in detail, as well as learning objectives. It can also be helpful to schedule a call with one of our advisors to go through the curriculum with you and answer any questions as they come up.

Yes! You will receive a certificate from the University of New Mexico as long as you meet the attendance criteria.

We try to keep each cohort around 20 students to make sure we have a healthy student:instructor ratio. Each class will have a minimum of 3 instructors/TAs available, with one lecturer leading the module.
Feel free to ask any questions or comments you may have and we’ll get back to you within one business day.
Alternatively, you can also reach out to us on phone or email

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