Online Course – Certified Professional Specialization in Data-Driven Decision Making (DDDM) from The State University of New York

Improve your organizational decisions. Improve profitability by analyzing problems from a data perspective.

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קורס אונליין - התמחות מקצועית מוסמכת בקבלת החלטות מונחות נתונים (DDDM) של The State University of New York

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Analyzing process maps for improvement
  • Software to maximize data analysis
  • Statistical process control
  • Create metrics dashboards
  • Translating data stories
  • The relationship between operational technology metrics and organizational performance
  • Applying DDDM theory to real-world situations
  • Measurable improvements in quality, costs, efficiency, operational flexibility, capital investment, time to market, customer satisfaction, or other significant performance indicators.

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Project Manager
  • Operations Manager
  • Quality Manager
  • Marketing Manager
  • Information Systems Manager
  • Information Technology Manager
  • Organizational consultant
  • Strategy Manager
  • Business Development Manager

Internship – Series of 3 courses

This specialization explains why it is important to leverage data when considering organizational decisions, and provides the key tools for data-driven decision making (DDDM). The course series explores how technology enables unprecedented amounts of data to be collected and organized, and how to analyze the data to gain powerful insights.

Course topics include:

  • Analyzing process maps for improvement
  • Software to maximize data analysis
  • Statistical process control
  • Create metrics dashboards
  • Translating data stories
  • The relationship between operational technology metrics and organizational performance

The content addresses the leadership role in delivering an Internet of Things (IoT) strategy in manufacturing and service environments. Lessons include real-world cases that demonstrate the ROI achieved through DDDM, and the cultural changes required for success.

To learn more about the internship, you can check out a video review at: Video Review .

Applied Learning Project

Each course concludes with a project in which students apply DDDM theory to real-world situations, addressing the impacts on their organizations. Projects may lead to measurable improvements in quality, cost, efficiency, operational flexibility, capital investment, time to market, customer satisfaction, or other significant performance metrics.

Details of the courses that make up the specialization

Data-driven process improvement

Course 1

Duration: 8 hours

Rating: 4.7 (212 ratings)

What will you learn?

  • Develop a plan to regulate operational and performance goals
  • Developing a data collection strategy and verifying data integrity
  • Understanding how to create current and future process maps
  • Prioritize data gaps for root cause analysis

Skills you will gain

  • Data Collection
  • Gap assessment
  • Business process mapping
  • KPIs
  • Data-driven decision making

Course 2: Data Analysis and Visual Presentation

Duration: 11 hours

Rating: 4.7 (131 ratings)

What will you learn?

  • Identify key stakeholders and components essential to a data analytics project plan
  • Identifying the advantages and disadvantages of various tools for analysis and visual presentation
  • Visually display, monitor, and remove process variances
  • Explaining how to create a compelling data story

Skills you will gain

  • Data Story
  • Data analysis tools
  • Statistical Process Control (SPC)
  • Data-driven decision making
  • Tools for visualizing data

Course 3: Exchanged Analytics and Data for Decision Making

Duration: 11 hours

Rating: 4.6 (105 ratings)

What will you learn?

  • Describe techniques for identifying root causes of variance and tools for evaluating potential solutions
  • Apply the Design of Experiments (DOE) technique to test improvement options
  • Assess, for a specific organization, which operational excellence methodology provides the most value
  • Explaining how to promote a culture of data literacy

Skills you will gain

  • Lean
  • Six Sigma
  • ISO 9001:2015
  • Data-driven decision making

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