ONLINE COURSE
Acquire and execute successful decision-making tactics to play an essential role in optimizing your organization.
Harness the full potential of your organization's data infrastructure to maximize efficiency and drive strategic initiatives forward.
Analyze how companies utilize consumer data and various forms of statistical analysis to achieve success.
Interact with MIT experts, instructors, and peers in live synchronous sessions for a more comprehensive learning experience.
Networking opportunities establish professional connections with industry experts and your cohort.
Access to rich supplementary resources provides additional materials and content for a more thorough educational journey.
Data governance and its application in organizations to maximize the value of data assets.
To build an organizational culture that incorporates the use of technology
To extract information and insights from various sources of raw data
Successful data-based decision-making skills to drive strategic growth and operational efficiency
To apply DevOps to optimize data systems for organizational advancement
To use current tools to leverage the data overseen by the organization
To understand how cloud, machine learning, and data storage technologies enhance the speed and scalability of contemporary data systems.
All the participants who successfully complete their program will receive an MIT Professional Education Certificate of Completion, as well as 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.
The overarching goal of data leadership is to make relevant data accessible to decision-makers at every level of the organization. Data leadership serves to recognize and anticipate market changes, and therefore respond quickly to trends and changes in customer preferences.
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, need to update their data structure.
Executive Director of MIT’s Geospatial Data Center, Research Scientist; Center for Complex Engineering Systems, Sociotechnical Systems Research Center, under the Schwarzman School of Computer Science
Professor of Information Engineering, Civil and Environmental Engineering and Director of MIT Geospatial Data Center, and a faculty member in the Center for Computational Science and Engineering part of the Schwarzman School of Computer Science
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