Mission Operations and Data Workflow Specialist
Course title: Project Management Foundations
Target group: Junior (Fresh Employee)
Level: Awareness
Project Management Foundations
Provider
Description
Project management is a set of techniques that anyone can apply to achieve goals and make projects more successful. Project management can be used to guide small, simple projects as well as complex enterprise-wide initiatives. Bonnie Biafore has always been fascinated by how things work and how to make things work better. In this course, she explains the fundamentals of project management, from establishing project goals and objectives and building a project plan to managing resources and work, meeting deadlines, and closing the project. Along the way, she provides tips for communicating, holding meetings, keeping a project on track, and gaining customer acceptance. The course also provides an overview of the changes introduced in the Project Management Institute’s A Guide to the Project Management Body of Knowledge Seventh Edition. This course provides exercises for most videos based on a healthcare/IT case study project.
Target
- Individuals interested in project management
- especially in healthcare/IT sectors
Sector
- Healthcare and Information Technology (IT)
Area
- Project management fundamentals and techniques
Learning outcomes
- Understand the principles and fundamentals of project management, including setting project goals and creating an effective project plan.
- Develop the ability to manage resources, scheduling, and tasks to achieve objectives in both small and large projects.
- Gain skills in communication, holding meetings, and keeping a project on track throughout its lifecycle.
- Comprehend the processes involved in controlling, closing, and successfully completing a project.
- Familiarize with the updates and changes introduced in the Seventh Edition of the Project Management Body of Knowledge (PMBOK) Guide by the Project Management Institute.
- Apply exercises and case studies based on healthcare and IT projects to enhance practical understanding.
- Build the capability to evaluate project success and gain customer acceptance throughout the project lifecycle.
Learning content
- Get to Know Project Management
- First Things First
- Develop a Project Plan
- Build a Project Schedule
- An Overview of Agile Project Management
- While You Run the Project
- Work with Teams
- Monitoring and Controlling Processes and Performance
- Close the Project
- Changes to PMBOK® Guide – Seventh Edition
Approach/method
Online
Duration
4 hours on-demand video
Assessment
No
Certification
Yes
Date
Always available
Location
Online
Website
Course title: Situation Awareness Specialist (SAS/STAS)
Target group: Mid Level Employee
Level: Foundations
Situation Awareness Specialist (SAS/STAS)
Provider
arcurigroupllc.us
Description
The SAS/STAS Certification Program is a professional credential designed to teach the art of situational awareness. It helps participants build the ability to anticipate, identify, and respond effectively to random, emergent, or threatening situations in both professional and everyday environments. This credential is recognized in over 70 countries worldwide and is widely adopted across industries such as security, hospitality, healthcare, education, transportation, and government.
Target
- Security and law enforcement officers
- Military and defense personnel
- Airport, port, and transportation managers
- Healthcare administrators and hospital security teams
- Corporate executives and facility managers
- School leaders, university staff, and event coordinators
- Hospitality and entertainment venue managers
Sector
- Security & Risk Management
- Defense / Military Operations
- Corporate Safety & Facility Management
- Healthcare & Emergency Services
- Education & Community Protection
- Transportation / Aviation / Maritime Security
- Hospitality & Entertainment Venues
Area
- Situational Awareness & Threat Detection
- Behavioral Observation and Analysis
- Decision-Making in High-Stress Environments
- Emergency Preparedness & Response
- Mission Planning & Risk Mitigation
Learning outcomes
- Define and apply situational awareness (SA) in dynamic, real-world environments.
- Recognize baseline vs. anomaly behaviors in people, environments, and patterns.
- Anticipate emerging threats before they escalate.
- Apply the OODA Loop (Observe–Orient–Decide–Act) in real-time decision-making.
- Communicate situational assessments effectively to teams and leadership.
- Develop proactive safety habits for both professional duties and daily life.
- Enhance mission performance by adapting parameters to real-time feedback.
Learning content
- Introduction to Situational Awareness
- Observation & Perception Skills
- Behavioral Analysis
- Decision-Making Under Pressure
- Applied Situational Awareness
- Mission & Safety Applications
- Certification Exam
Approach/method
Online
Duration
4 hours
Assessment
No
Certification
Yes
Date
September 18, 2025 – 1:00 PM (EST)
September 27, 2025 – Spanish session
October 30, 2025 – 1:00 PM (EST)
December 11, 2025 – (details TBA)
Location
Online
Website
Course title: Analytics for Decision Making
Target group: Mid Level Employee
Level: Awareness
Analytics for Decision Making
Provider
edX
Description
Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.
These big picture ideas have motivated the development of quantitative models, but in most traditional statistics courses, these concepts get lost behind a wall of little techniques and computations. In this course we keep the focus on the ideas that really matter, and we illustrate them with lively, practical, accessible examples.
We will explore questions like: How are traditional statistical methods still relevant in modern analytics applications? How can we avoid common fallacies and misconceptions when approaching quantitative problems? How do we apply statistical methods in predictive applications? How do we gain a better understanding of customer engagement through analytics?
This course will be is relevant for anyone eager to have a framework for good decision-making. It will be good preparation for students with a bachelor’s degree contemplating graduate study in a business field.
Opportunities in analytics are abundant at the moment. Specific techniques or software packages may be helpful in landing first jobs, but those techniques and packages may soon be replaced by something newer and trendier. Understanding the ways in which quantitative models really work, however, is a management level skill that is unlikely to go out of style. This course is part of the Business Principles and Entrepreneurial Thought XSeries
Target
- Anyone interested in good decision-making using data
- Students with a bachelor’s degree considering graduate studies in business
Sector
- Business and analytics
Area
- Data analysis and statistics applying to business decision-making
Learning outcomes
- Variability in the real world and implications for decision making
- Data types and data quality with appropriate visualizations
- Apply data analysis to managerial decisions, especially in start-ups
- Making effective decisions from no data to big data (what should we collect and then what do we do with all this data?)
Learning content
- understanding variation
- assessing risks
- identifying sources of variability.
Approach/method
Online
Duration
4 – 6 hours per week
Assessment
No
Certification
Yes
Date
Always available
Location
Online
Website
Course title: Risk Response
Target group: Mid Level Employee
Level: Foundations
Risk Response
Provider
Coursera
Description
This course covers fourth domain of PMI-RMP® Exam Content Outline (ECO)-2022. This Risk Response course provides you with the knowledge as well as skills needed to develop, implement, and monitor effective risk response strategies for your projects, ensuring you can handle both threats and opportunities. In this course, you’ll engage in interesting lessons, practice assignments, and graded quizzes on key topics such as risk response decision-making, action plan development, and managing secondary and residual risks. You’ll also explore Agile and Predictive approaches to risk response, learning how to apply tailored strategies to fit each project’s unique needs.
By the end of this course, you’ll be able to:
• Develop risk response strategies for both threats and opportunities.
• Create risk response action plans for Agile and Predictive project approaches.
• Execute and monitor contingency plans for unplanned risks.
• Engage stakeholders in risk response processes and communicate strategies clearly. • Address secondary risks and manage residual risks to keep projects on track
Target
- Project managers, risk management professionals, PMI-RMP® aspirants, Agile and Predictive project practitioners
Sector
- Project management, risk management, professional certification and training.
Area
- Risk response planning and execution, contingency and mitigation strategies, Agile and Predictive risk management approaches
Learning outcomes
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
- Grasp the Risk Response Strategies for both threats and opportunities.
- Explore techniques to assess and communicate Risk Response Strategies.
- Develop skills in managing secondary risks, handling residual risks, and creating effective Contingency Plans to address unforeseen challenges.
Learning content
- Module 1: Risk Response Process, Strategies and Action Plan
- Module 2: Risk Reponse Execution
Approach/method
Online
Duration
4 hours to complete
Assessment
Yes
Certification
Yes
Date
Always available
Location
Online
Website
Course title: Mission Data Integration Workshop
Target group: Senior Employee
Level: Extended Know-How
Mission Data Integration Workshop
Provider
Tonex.com
Description
Mission Data Integration Workshop by Tonex provides professionals with the knowledge and skills to integrate, manage, and analyze mission-critical data effectively. This course covers data collection, processing, interoperability, and security in mission environments. Participants will learn best practices for ensuring seamless data flow across multiple systems. The workshop also explores data governance, visualization, and decision-making frameworks. Practical strategies for optimizing data integration in real-world scenarios are emphasized. This training is ideal for professionals seeking to enhance their expertise in mission data handling and integration.
Target
- Data analysts
- System engineers
- Mission planners
- IT professionals
- Defense and aerospace experts
- Intelligence analysts
Sector
- Defense
- Aerospace
- Intelligence
- government agencies
- security operations
Area
- Data integration
- data management
- data analytics
- Interoperability
- mission-critical systems
Learning outcomes
- Understand mission data integration principles
- Learn data interoperability and processing techniques
- Explore security challenges in mission data management
- Analyze data governance and compliance frameworks
- Apply best practices for mission data visualization
Learning content
- Module 1: Fundamentals of Mission Data Integration
- Module 2: Data Collection and Processing
- Module 3: Interoperability and System Integration
- Module 4: Security and Compliance in Mission Data
- Module 5: Mission Data Visualization and Decision-Making
- Module 6: Best Practices for Mission Data Management
Approach/method
Online
Duration
2 Days
Assessment
No
Certification
No
Date
Always available
Location
Online
Website
Course title: Decision-Making and Scenarios
Target group: Mid Level Employee
Level: Foundations
Decision-Making and Scenarios
Provider
Coursera
Description
This course is designed to show you how use quantitative models to transform data into better business decisions. You’ll learn both how to use models to facilitate decision-making and also how to structure decision-making for optimum results. Two of Wharton’s most acclaimed professors will show you the step-by-step processes of modeling common business and financial scenarios, so you can significantly improve your ability to structure complex problems and derive useful insights about alternatives. Once you’ve created models of existing realities, possible risks, and alternative scenarios, you can determine the best solution for your business or enterprise, using the decision-making tools and techniques you’ve learned in this course.
Target
- Business professionals
- Managers
- financial analysts
- decision-makers
Sector
- Business and Finance
Area
- Quantitative Modeling
- Decision-Making
- Data-Driven Business Strategy
Learning outcomes
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Learning content
- Module 1: Evaluation Criteria: Net Present Value
- Module 2: Evaluating Projects
- Module 3: Expressing Business Strategies in Financial Terms
- Module 4: New Product Value
Approach/method
Online
Duration
6 hours to complete
Assessment
Yes
Certification
Yes
Date
Always available
Location
Online
Website
Course title: Managing Data Analysis
Target group: Mid Level Employee
Level: Foundations
Managing Data Analysis
Provider
Coursera
Description
This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.
This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We’ve left the technical information aside so that you can focus on managing your team and moving it forward.
After completing this course you will know how to:
1. Describe the basic data analysis iteration
2. Identify different types of questions and translate them to specific datasets
3. Describe different types of data pulls
4. Explore datasets to determine if data are appropriate for a given question
5. Direct model building efforts in common data analyses
6. Interpret the results from common data analyses
7. Integrate statistical findings to form coherent data analysis presentations
Target
- Team leaders
- project managers
- data team supervisors
- analytics managers
Sector
- Any sector using data-driven decision-making (e.g., IT, finance, healthcare, marketing, government)
Area
- Data analysis management
- data-driven decision-making
- team leadership in analytics
Learning outcomes
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
- Differentiate between various types of data pulls
- Describe the basic data analysis iteration
- Explore datasets to determine if data is appropriate for a project
- Use statistical findings to create convincing data analysis presentations
Learning content
- Module 1: Managing Data Analysis
Approach/method
Online
Duration
8 hours to complete
Assessment
Yes
Certification
Yes
Date
Always available
Location
Online
Website