The more team members you enroll in your organization, the more benefits you can acquire. Depending on the number of members enrolled in our courses, you could obtain these benefits:
Leverage your organization's data infrastructure
Discover how companies are using consumer data and other forms of statistical analysis for success
Play an essential role in optimizing your organization
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.
Data governance and cybersecurity
Build an organizational culture that incorporates the use of technology
Extracting information and insights from various sources of raw data
Successful data-based decision making
Lean DevOps applied to optimizing data systems for organizational advancement
Use of current tools to take advantage of the data that the organization manages
Understand how cloud, machine learning and data store technologies speed and scale of modern 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.
Participants in our courses
Countries represented by our participants
Rate the experience as extraordinary
Module 1: Amazing AI | An Introduction to Artificial Intelligence for Business Leaders
To begin, we will dive into the different applications AI has today, gain hands-on experience with essential Cloud tools, and formulate new applications with these tools for industry applications.
Module 2: Frameworks for Continuous Data Innovation
In Module 2, we will describe the different frameworks and methodologies for continuous data innovation, use processes to organize data around modern pipelines, and explain the methodologies for organization and product design.
Module 3: IT Architecture and Querying Data
Next, we will gain an understanding of Legacy Systems and their role in data management today, broaden our knowledge in the field of client-server architectures, databases, and data stores, and learn how to use the newest tools in data management, includiing Microsoft 365 and Apollo server.
Module 4: The Importance of Data
In this module, we will gain an understanding of how deeply data has changed fromthe late 19th century up to today, broaden our knowledge of data management processes and roles from collection to consumption, and expand our knowledge related to IT organizations, how they can be transformed, and what they should aim for in the future.
Module 5: Data Platforms and Database Design
Here, we will uncover the structure of data platforms, compare various types of databases, and design a simple database.
Module 6: Data Science Acceleration and the Data Platform
In Module 6, we will address data science acceleration, and dive deeper into data platforms, including modern data platforms and end-to-end, and lastly, learn about modern data stack and their platforms.
Module 7: The Cloud
Here, we will start at the beginning of the history of the cloud, starting in the 80s, and define the present and future of the cloud, including its past, present, and future applications.
Module 8: Ethics, Information Governance, and the Modern Data Organization
In the last module, we will docus on ethics regarding AI biases and fairness, the overarching goals of data leadership in an organization, and policies regarding data governance and compliance.
Executive Director of the MIT Geospatial Data Center
Director of the MIT Geospatial Data Center
I have had an excellent experience. MIT Professional Education is revolutionizing the online experience, as it is highly interactive & collaborative. I had the opportunity to attend international workshops & live webinars, collaborate & engage with world-renowned MIT Faculty, learn from facilitators, guest speakers, & subject matter experts from various industries, & meet and network with other participants from around the world.
Pearl Cutting - Content Creator