After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
Learn Decision Science Fundamentals!
Dive into the fundamentals of decision science, exploring core principles, methodologies, and real-world applications. You will develop a strong understanding of decision modeling, problem framing, and the ethical considerations involved in data-driven decision-making.
Implement Like a Pro
You will discover how to efficiently implement decision science projects, from defining clear success criteria to building a data-driven culture within your organization. The next chapter will equip you with practical techniques for data source assessment, quality checks, feature selection, and model prioritization.
Master Decision Science Applications
Expand your knowledge by exploring the diverse applications of decision science across various industries, including marketing, finance, and operations. You will practice and develop effective communication strategies to present data-driven insights to stakeholders and build consensus around data-informed decisions.
Explore Future Trends
Stay ahead of the curve by examining emerging trends and advancements in decision science. You will gain valuable insights into the integration of artificial intelligence (AI) in decision-making, the power of big data analytics, and the evolving role of human-in-the-loop decision-making.
Prerequisites
There are no prerequisites for this course
Curriculum
Course outline
1
Foundations of Decision Science
Explore the core principles of decision science and its significance in modern business. Develop a foundational understanding of decision modeling techniques, problem-framing strategies, and the ethical considerations surrounding data-driven decision-making.
- Introduction to Decision Science50 XP
- Descriptive versus prescriptive analytics50 XP
- Common biases in Decision Science100 XP
- Ordering the steps in decision-making100 XP
- Introduction to decision-making50 XP
- Decision-making techniques50 XP
- Decision-making frameworks100 XP
- Framing and problem definition50 XP
- Project stakeholders50 XP
- Business problem context50 XP
- Problem framing techniques100 XP
- Ethical considerations in decision-making50 XP
- Spotting fairness failures50 XP
- Decision Science Ethics100 XP
2
Efficient Decision Science
Gain practical skills in implementing decision science projects efficiently. Learn to define success criteria, assess data sources, perform quality checks, select relevant features, prioritize models, and foster a data-driven culture within your organization.
3
Decision Science in Action
Discover the diverse applications of decision science across various industries, including marketing, finance, and operations. Master effective communication strategies for presenting data-driven insights to stakeholders and build consensus around data-informed decisions. Explore future trends and advancements in the field.
R
Demystifying Decision Science
Course
Complete
