Data Leadership: AI, Cloud & Governance
- Offered byMIT Professional Education
Data Leadership: AI, Cloud & Governance at MIT Professional Education Overview
Duration | 8 weeks |
Start from | Start Now |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
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Data Leadership: AI, Cloud & Governance at MIT Professional Education Highlights
- Earn a certificate after completion of course
Data Leadership: AI, Cloud & Governance at MIT Professional Education Course details
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, and need to update their data structure
MIT Professional Education’s online course 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
Data Leadership: AI, Cloud & Governance at MIT Professional Education Curriculum
Comprehend the history and role of data and the cloud from its beginnings to now
Understand what data platforms are, how they work, and their uses
Use of current tools to take advantage of the data that the organization manages
Master AI applications to leverage organizations’ data infrastructures
Build databases and the SQL application
Leverage existing company data for success and derive value from dormant data
Precise decision-making based on data
Discover how companies are using consumer data and other forms of statistics and figures for maximum advancement
Learn to apply data governance and cybersecurity
Understand how the principles of Lean DevOps, which optimized software development, can be applied to optimizing data systems for organizational advancement
Understand how Cloud, Machine Learning and Data Store technologies have led to orders of magnitude improvements in speed and scale of modern data systems
Data Leadership: AI, Cloud & Governance at MIT Professional Education Entry Requirements
Basic knowledge of coding is recommended, but not obligatory
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
- Not mentioned
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