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Lead Instructor(s)
Date(s)
Dec 13, 2022 - Feb 07, 2023
Registration Deadline
Location
Online
Course Length
8 weeks
Course Fee
$2,900
CEUs
6.4
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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.

COURSE OVERVIEW

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.

Learning Outcomes
  • 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
Who Should Attend

This course is for those who already have basic knowledge of data and are looking to transform their organizations’ data processing mechanisms. Therefore, this course is primarily for:  

  • 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. 

There are a few recommended prerequisites to enroll in this course: 

  • 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