Data Science for Managers

Applications, Visualizations & Storytelling

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COURSE OVERVIEW


According to Stanford Graduate School of Business Professor Susan Athey, managers need to be able to understand and evaluate output from analysts, and they often find that if they cannot directly engage in the output themselves, they are left out or behind.

This course will involve managers and executives in discussions around data and how analytics can help organizations with problem-solving and strategy. An understanding of what foundational data science methods can accomplish coupled with data visualization and storytelling will empower managers and executives to fully employ existing data assets, invest in new data assets, and effectively communicate business learnings to key stakeholders.

It is a course that opens the eyes of executives and managers into the power of data science and how it can help their organizations create and sustain competitive advantages.

Attendees may use a PC or Mac to access slides and other resources we provide for the course.

This course is often taught together with Data Science for Managers - Building a Data-Driven Organization in a two-day course since both courses complement each other. Attendees usually take this course on the first day.

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Course Duration
1 Day
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Course Prerequisites
None

WHAT THIS COURSE OFFERS


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Data Analytics and Big Data

High-level overview of data science and big data methods and why they are relevant for managers and executives

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Use Cases

Presentation of a variety of use cases and examples from industry of how data science can boost business performance and improve corporate bottom lines

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Implementation Best Practices

Understanding of the data science process and critical challenges

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Effective Communication Strategies

Understanding of how to evaluate, interpret, and present data science results to key stakeholders and technical teams

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Collaborative Exercises

Participants will have opportunities to discuss current data science topics with other attendees & their Cognitir instructor and brainstorm practical strategies to improve decision making

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Support Beyond the Classroom

All Cognitir participants receive course notes, a certificate of completion, instructions on how to add the course to their LinkedIn profiles, and post-seminar email support

WHO IS THIS FOR


This course is relevant for executives and managers who supervise teams that execute data analytics and business intelligence projects. Other junior and senior business professionals who want to better understand how data science can supercharge corporate analytics will also benefit from taking this course.

No prior experience with data science, big data, or machine learning required.

Not sure if this is the right course for you? Contact us.

What Participants Say


"Instructors are extremely helpful and patient."
– Grace M.
"A really good outline for data science. Great mix of lecture and audience participation."
– Daniel O.
"Amazing course, well organized, and great energy."
– Jeremy S.
"Perfect pitch, sufficient practical & principle lessons."
– Andrew T.

Course Specific Questions


How is this course different from Introduction to Data Science?

This course focuses on how managers and executives can use data science to create strategic value. It does not involve computer programming. Introduction to Data Science is more hands-on in terms of building computer code to execute data science tasks.

How is this course different from Data Science for Managers - Building a Data-Driven Organization?

This course focuses on getting managers and executives to recognize the power of data science while Data Science for Managers - Building a Data-Driven Organization focuses more on aspects of the organization that need to be changed or developed in order for it to become data-driven. Both courses complement each other well and should be taken in sequence.

Visit our FAQs to see commonly asked questions from participants about data science.

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Questions about this course? Enquiring about training availability? We'd love to hear from you!