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Applied Data Strategy Sprint

2 week project sprint program for learning applied data science

Length: 2 weeks

Dates: June 21st, 2021


Applied Data Strategy is 2 week project sprint program for learning Applied Data Science in a practical, holistic manner. The program is designed for both technical and non-technical professionals. The program also allows professionals to exchange perspectives with top tech-focused students in data science, computer science, and similar fields.

The programs includes lectures and project guidance from world-class industry-oriented faculty. By the end of the program, participants will learn data strategies, design a data application, get user feedback, and present a low tech demo ready for implementation.

The program may be used for technical up-skill, innovation culture training, part of the advanced development process for a CTO type of group, or as a substitute for a focus group to understand the value of a new data initiative.


Learn more about the program directly from our community.

For Professionals

Learn new data science applications, data business models, data strategies, advanced tools, the most commonly used algorithms while designing a real life data-related application.

Professionals do not need background in CS, Data Science, or Statistics to get value from the program. 


For Students

with data science and computer science skills, this program is like a 2-week virtual internship.  It allows students to bring their technical skills to work on real world industry problems, seek opportunities, and build your industry resume.

Apply for a Scholarship or Virtual Internship. This program is highly-selective for top-tech focused students.

What You'll Learn

Emerging Data Application

Data Business Models

Data Strategy Elements

Tools and Libraries Used in Data Science

Today's AI Algorithms

How to Activate a Data AI Project

Data / UI Design Cycle

Innovation Process and Culture


Directors/VP, Product Managers, Engineering experts/leads, IT, CTO staff, Innovators


Tech Students

Data Science, Computer Science, Stats, EE and other majors with technical and math background for data science applications

Meet The Team


Professor Ikhlaq Sidhu

Global Venture Catalyst

Lead Instructor

Professor Mike Grandinetti

Global Venture Catalyst

Lead Mentor

Hear From Past Participants

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What students say:

“It was mainly great because it addressed the goal I am pursuing to learn about ML, NN and AI etc. I got to experience some of the practical side and validated (and maybe even empowered) my personal ideas for related ventures and met someone who basically raised a relevant business from minimal $ investment.”

Meet The Community