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MIT CEU’s
This course is part of our: Blended Professional Certificate: Chief Digital Officer and Blended Professional Certificate: Chief Product Officer
The Worldwide Importance of Data Leadership
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.
38% vs 9%
Thirty-eight percent of CEOs say they lead their companies’ analytics agendas, but only 9 percent of all other C-suite executives agree.
Source: McKinsey
60%
of corporate data is stored in the cloud.
Source: Statista
20%
more of an increase in revenue before taxes was achieved by data-analytic firms than by non-data analytic firms.
Source: McKinsey & Company
An Online Program Offering a Profound Approach to Data Leadership
MIT Professional Education’s online program 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.
The skills you will develop
1.
Comprehend the history and role of data and the cloud from its beginnings to now
2.
Understand what data platforms are, how they work, and their uses to take advantage of the data that your organization manages
3.
Master AI applications to leverage organizations’ data infrastructures
4.
Master the SQL application, data governance, and cybersecurity
5.
Leverage existing company data for success and derive value from dormant data for precise decision-making based on data
6.
Understand the cloud, machine learning, Lean DevOps, and data store
technologies for organizational advancement
In addition, you will receive a Certificate of Completion
All participants who successfully complete the program will receive an MIT Professional Education Certificate of Completion.
Students in the MIT Professional Education Digital Plus Data Leadership program will also receive 6.4 Continuing Education Units (CEUs).
To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.
* The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program.
To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.
This course is directed to:
- MANAGEMENT-LEVEL PROFESSIONALS AND EXECUTIVES
looking to champion a data-driven approach in their organizations to be able to make informed decisions.
- PROFESSIONALS AND EXECUTIVES IN DATA MANAGEMENT ROLES:
Chief of Data Analytics, Chief of Data, Chief of Machine Learning.
- MORE ESTABLISHED ORGANIZATIONS AS WELL AS YOUNGER START-UPS
seeking to improve data management and processing.
- 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, need to update their data structure.
There are a few prerequisites to enroll in this course:
- Basic knowledge of coding is recommended, but not obligatory
- It is recommended that participants speak the same language as those with more technical roles on their teams (IT teams, data scientists, etc.) and be able to identify potential blockers
Meet the instructors of this course
*Listed in alphabetical order
DR. ABEL SANCHEZ
Research Scientist, MIT
“We use the term ‘applied’ because we recognize this as a business problem, but we also wanted to ground the technology and give people fundamentals.”
Learn more
Dr. Sanchez is the architect of the global network “The Internet of Things” and data analysis platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil and Altria. In cyber security, he has developed cyber-attack impact analyses for the U.S. Department of Defense and a password firewall for the IARPA.
Dr. Abel Sanchez holds a PhD from the Massachusetts Institute of Technology (MIT) and teaches MIT courses in cyber security, engineering, blockchain and data science. He has been involved in developing educational software for Microsoft and establishing the Accenture Technology Academy. He has produced over 150 educational videos, has 10 years of experience with learning management systems and has made deployments in the Americas, Asia and Europe.
PROF. JOHN R. WILLIAMS
Professor, MIT Department of Civil and Environmental Engineering; Affiliated Faculty, MIT Center for Computational Science and Engineering.
“Data Engineering builds the corporate nervous system.”
Learn more
Professor John R. Williams’ research focuses on the development and application of computing algorithms in distributed cyberphysical systems. He was director of the Auto-ID Laboratory, where the Internet of Things was invented. He is considered, along with Bill Gates and Larry Ellison, one of the 50 most powerful people in “Computer Networks”.
He is author and coauthor of more than 250 articles in journals and conferences. Professor Williams teaches courses on the basics of programming, modern software development, the architecture of web, cloud and blockchain systems. In addition, he holds a BSc in Physics from Oxford University, an MSc in Physics from UCLA, and a PhD from the University of Swansea.
Discover the experience of our participants
Luis Martinez Pacheco
Business Analytics at Euromadi Iberica SA
In my professional life at the moment what [this course] has allowed me to do is to be able to position myself in certain internal debates that are taking place with a slightly more technical perspective (which until now has always been a closed space for IT) and to be able to ask more complex questions or with a broader vision of the whole process that the company is undergoing.
Data Leadership
Tri Duong
Data Engineer at KBR, Inc.
Through this course, I gained a strong foundation on the limitations and potentials of various tools and frameworks. The course provided me with a solid collection of source references for further research, allowing me to continue learning and exploring even after the course had ended.
Data Leadership
Dharmendra Jain
Director of Operations, Kantar
This course gave me a holistic understanding and knowledge of data-driven initiatives and projects. I learned about the latest technologies for data pipelines, low code/no code, CI/CD, cloud deployment, data compliance, and how I can deploy them.
The course is ideal for anyone who already has some technical knowledge and works at the senior level with the responsibility of leading data-driven initiatives. This incredible learning experience broadened my horizons and equipped me with invaluable skills in data-driven business, leadership, and digital transformation.
Data Leadership
