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Lead Instructor(s)
Date(s)
Jul 07 - Sep 01, 2026
Registration Deadline
Location
Online
Course Length
8 weeks
Course Fee
$3,200
CEUs
6.4
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We are in a world where the new technologies of Cloud, IoT, AI/Machine Learning, and Cloud Data-Stacks are re-architecting how organizations operate. DevOps and DataOps driven organizations move thousands of times faster than others.

To master this “Tsunami” of data we need to leverage new tools and new data analysis techniques. We need to master the new Cloud datastores where we can query petabytes of data in seconds.

We need to understand how to leverage the new data-in-motion pipelines to make business decisions in seconds rather than days or weeks.

COURSE OVERVIEW

 

MIT Professional Education’s online course in Data Leadership cohesively consolidates the objectives of making relevant data accessible to decision-makers at every level of the organization. Effective business leaders rely on accurate consumer and market forecasting to rapidly adapt to dynamic conditions. This program offers a fully encompassing approach, featuring the pillars of effective data leadership, case studies, and initiatives.

Data Leadership: AI, Cloud & Governance, with curriculum developed and taught by MIT faculty, is delivered in collaboration with Global Alumni. Contact Global Alumni for more information about this program:

Global Alumni is an ed-tech company that collaborates with institutions to manage enrollments (including all payment services and invoicing), technology, and participant support. 

Learning Outcomes
  • Comprehend the history and role of data and the cloud from its beginnings to now 
  • Understand what data platforms are, how they work, and their uses 
  • Use of current tools to take advantage of the data that the organization manages 
  • Master AI applications to leverage organizations’ data infrastructures   
  • Build databases and the SQL application 
  • Leverage existing company data for success and derive value from dormant data  
  • Precise decision-making based on data  
  • Discover how companies are using consumer data and other forms of statistics and figures for maximum advancement 
  • Learn to apply data governance and cybersecurity 
  • Understand how the principles of Lean DevOps, which optimized software development, can be applied to optimizing data systems for organizational advancement
  • Understand how Cloud, Machine Learning and Data Store technologies have led to orders of magnitude improvements in speed and scale of modern data systems
Who Should Attend

This course is for those who already have basic knowledge of data and are looking to transform their organizations’ data processing mechanisms. Therefore, this course is primarily for:  

  • Management-level professionals and executives looking to champion a data-driven approach in their organizations to be able to make informed decisions.  
  • More established organizations as well as younger start-ups seeking to improve data management and processing. 
  • Professionals and executives in data management roles: Chief of Data Analytics, Chief of Data, Chief of Machine Learning. 
  • Organizations with a medium to high number of databases and medium-high data volumes that need to integrate and connect their sources with their databases to better leverage their use.  
  • Other roles with significant responsibility wanting to improve their data analytics and optimize their utilization.   
  • Organizations that operate with legacy systems, such as SAP, and need to update their data structure. 

There are a few recommended prerequisites to enroll in this course: 

  • Basic knowledge of coding is recommended, but not obligatory 
  • Leaders in this space should at least be able to speak the same language as those more technical roles on their teams (IT teams, data scientists, etc.) and should be able to identify potential blockers    

Testimonials

I definitely feel more confident in my work. As a sole innovator on the team in the operations space, I previously felt siloed. Since taking this course, I've networked with other professionals and combined that with learnings to amplify my subject matter expertise and support my leadership team.
Denval Lawrence - Director, Enterprise Talent Management Operations, Travelers
I really liked the structure offered! It was a comprehensive program covering all the aspects of data, AI, its transformations and how it is shaping the world. The assignments and extra material are the crucial to deepen our knwolegde.
Betty Chiu Chu - Head of Data & Linguistics, Hand Talk
MIT Professional Education's Data Leadership course has changed my perspective and I think it impacted my way of thinking. First of all to understand why data plays a vital role in order to build a data-driven company and why it's super important in order to collaborate with other partners. Although I run a tech company I now know this course was much needed. Now I can ask many questions to my tech team and build governance around it. Also as a chief digital officer, I can figure out which data can potentially give me more insights. Being a not technical person, I can now sense what sort of technology and what sort of data we need. This is something I have been learning but never felt as confident as I am feeling now. It has been an amazing learning experience.
Syed Aamir Jafri - CEO, E-Ocean
Brochure
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