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Duration

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Reinforce Your Team’s Performance

Transform your department or organization with MIT Professional Education group benefits

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:

  • Special pricing
  • Focus-based, industry-specific feedback from specialized learning facilitators
  • Collaborative learning experience
  • Overall better performance and outcomes

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Why Enroll in this Course?

Leverage your organization's data infrastructure

Successful decision-making

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.

What will you learn?

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

Certificate Data Leadership | MIT Professional Education

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.

MIT Professional Education in Numbers

+

60,000

Participants in our courses

+

155

Countries represented by our participants

92

%

Rate the experience as extraordinary

Course Outline

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.

Instructors

DR. ABEL SANCHEZ

Executive Director of the MIT Geospatial Data Center

PROF. JOHN R. WILLIAMS

Director of the MIT Geospatial Data Center

This course has given me a holistic understanding and knowledge of data driven initiatives/projects. I learnt about the latest technologies such as data pipelines, low code/no code, CI/CD, cloud deployment, data compliance, and and how can I deploy them.

I find this very good for someone who already has some technical knowledge and currently at the senior level and has the responsibility of leading data driven initiatives. This incredible learning experience has broadened my horizons and equipped me with invaluable skills in data-driven business, leadership, and digital transformation.

Dharmendra Jain - Director of Operations, Kantar

Professionals from these leading organizations have completed this course:

Logo IBM
Logo Apple
Logo Tesla
Logo Kantar
Logo ModusLink
Logo Lazard
Logo InterVision Systems
Logo Allete
Logo IBM
Logo Apple
Logo Tesla
Logo Kantar
Logo ModusLink
Logo Lazard
Logo InterVision Systems
Logo Allete
Logo IBM
Logo Apple
Logo Tesla
Logo Kantar
Logo ModusLink
Logo Lazard
Logo InterVision Systems
Logo Allete

Download the Brochure