Data Leadership

Optimization of Data Systems for Organizational Advancement

Download brochureRegister
START
END
DURATION
HOURS OF EFFORT
LANGUAGE
FORMAT
PRICE
MIT CEU’s

Data Leadership

Download brochureRegister
START
END
DURATION
HOURS OF EFFORT
LANGUAGE
English
FORMAT
PRICE
MIT CEU’s

*

The Worldwide Importance of Data Leadership

The business world has been molded and remolded by one disruptive technology after another, but through every wave of change, the fundamental pillars have stayed the same:

  • Comprehension of customer needs
  • Efficient operations to meet those needs
  • Achieving maximum efficiency by making faster and smarter business decisions

These three pillars form the framework of data-driven leadership. Obtain and analyze trustworthy data effectively and efficiently for the long-term benefit of your organization’s success in an increasingly competitive and complex market.

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.

LEARN MORE ABOUT THE COURSE SPECIFICS

Download the brochure

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.

Discover how companies are using consumer data and other forms of figures for 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).

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:

  • Some coding experience is beneficial, but not necessary
  • 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
  • Familiarization with database mechanisms

Meet the instructors of this course

*Listed in alphabetical order 
DR. ABEL SANCHEZ

Executive Director of the MIT Geospatial Data Center

“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. Abel Sanchez holds a Ph.D. from the Massachusetts Institute of Technology (MIT). He is the Executive Director of MIT’s Geospatial Data Center, architect of “The Internet of Things” global network, and architect of data analytics platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil, and Altria.

In cyber security, Dr. Sanchez architected impact analysis of large-scale cyber-attacks designing Cyber Ranges for the Department of Defense (DOD). In password security, Dr. Sanchez led the design of a password firewall (negative authentication) for the Intelligence Advanced Research Projects Activity (IARPA) agency. In machine learning, addressing fraud detection,

Dr. Sanchez designed a situational awareness framework that exploits different perspectives of the same data and assigns risk scores to entities for Accenture. He led the design of a global data infrastructure simulator, modeling follow-the-sun engineering, to evaluate the impact of competing architectures on the performance, availability, and reliability of the system for Ford Motor Company.

Dr. Sanchez led e-Education software for Microsoft via their I-Campus Program and was faculty co-founder of the Accenture Technology Academy, an online resource for over 200,000 employees. He teaches MIT courses on cybersecurity, engineering computation, and data science and has produced over 1000 educational videos. Learners from 45 different countries have taken Abel’s courses.

PROF. JOHN R. WILLIAMS

Director of the MIT Geospatial Data Center

“Data Engineering builds the corporate nervous system.”

Learn more

John Williams holds a BA in Physics from Oxford University, an MS in Physics from UCLA, and a Ph.D. in Numerical Methods from the University of Wales, Swansea. His research focuses on the application of large-scale computation to problems in cyber-physical security and energy. He is director of MIT’s Geospatial Data Center and from 2006-2012, was Director of the MIT Auto-ID Laboratory, where the Internet of Things was invented. He is the author or co-author of over 250 journal and conference papers, as well as books on Rock Mechanics and RFID Technology. He contributed to the 2013 report for the UK Office for Science Foresight Project- The Future of Manufacturing. Alongside Bill Gates and Larry Ellison, he was named as one of the 50 most powerful people in Computer Networks. He consults with companies including Accenture, Schlumberger, Shell, Total, Exxon, SAP Research, Microsoft Research, Kajima Corp, US Lincoln Laboratory, Sandia National Laboratories, US Intelligence Advanced Research Projects Activity, Motorola, Phillip-Morris Inc., Ford Motor Company, ExxonMobil, Shell, Total, and ARAMCO. His international collaborations include Oxford and Cambridge Universities, HKUST, KACST, Alfaisal University, PolyU Hong Kong, Imperial College of Science and Technology UK, Malaysia University of Science and Technology (MUST), and Masdar Institute of Science and Technology Abu Dhabi. He organized the first Cyber-Physical Security Conference in the UK (2011) and along with Dr. Sanchez, he runs the MIT Applied Cyber Security Professional Education summer course. At MIT he teaches courses Architecting Software Systems (MIT 1.125) and Engineering Computation and Data Science (MIT 1.00/1.001). .

In data engineering and data science, early work included simulation of Ford’s global network, analysis of SAP smart grid billing system. For Altria, he analyzed the performance of item level tagging and their implementation of an anti-counterfeiting system using the Electronic Product Code (EPC)

In password security, Dr. Williams was PI that developed the algorithms for a negative password authentication system for the Intelligence Advanced Research Projects Activity (IARPA) agency. .

Dr. Williams advises companies in the Americas, Europe, Middle East, and Asia.

Are you ready to become a leader of data in your organization?

Download brochureRegister