Skip to main content
Maxim Volgin avatar

Maxim Volgin has completed

Demystifying Decision Science

Start course For Free
1 hr
2,500 XP
Statement of Accomplishment Badge

Loved by learners at thousands of companies

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.

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.

For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.
DataCamp for BusinessFor a bespoke solution book a demo.
  1. 1

    Foundations of Decision Science

    Free

    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.

    Play Chapter Now
    Introduction to Decision Science
    50 xp
    Descriptive versus prescriptive analytics
    50 xp
    Common biases in Decision Science
    100 xp
    Ordering the steps in decision-making
    100 xp
    Introduction to decision-making
    50 xp
    Decision-making techniques
    50 xp
    Decision-making frameworks
    100 xp
    Framing and problem definition
    50 xp
    Project stakeholders
    50 xp
    Business problem context
    50 xp
    Problem framing techniques
    100 xp
    Ethical considerations in decision-making
    50 xp
    Spotting fairness failures
    50 xp
    Decision Science Ethics
    100 xp
  2. 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.

    Play Chapter Now
    Defining success
    50 xp
    Minimum Viable Product
    50 xp
    Databases and quality checks
    50 xp
    Location, location… database?
    50 xp
    Which data delivers?
    100 xp
    Model prioritization
    50 xp
    Baseline before brilliance
    50 xp
    Tweak the data, boost the model
    100 xp
    Tracking performance
    50 xp
    Matching metrics
    100 xp
    Metrics to meaning
    50 xp
  3. 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.

    Play Chapter Now
    Decision science in business
    50 xp
    What counts as decision science?
    50 xp
    Scoping for success
    100 xp
    Communicating data-driven insights
    50 xp
    Storytelling success
    50 xp
    Speak their language
    100 xp
    Building a data-driven culture
    50 xp
    Culture check
    50 xp
    Step by step
    100 xp
    The future of decision science
    50 xp
    Future-forward or falling behind?
    50 xp
    New frontiers
    100 xp
    Wrap up
    50 xp
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

collaborators

Collaborator's avatar
Joe Franklin
Collaborator's avatar
Jordan Beecher
Howard Friedman HeadshotHoward Friedman

Adjunct Professor at Columbia University

Howard teaches data analytics classes at Columbia University and is the Chief Data Scientist at DataMed Solutions. He has a Masters in Statistics and Ph.D. in Biomedical Engineering. He served as a Director leading data modeling teams at Capital One and as an entrepreneur has started numerous companies in data-related areas. He has nearly 20 years of experience in data-driven value creation in the public sector, for private equity firms, Fortune 500 companies, and smaller firms. He co-authored the Pulitzer-Prize nominated book "Winning with Data Science".
See More
Akshay Swaminathan HeadshotAkshay Swaminathan

PD Soros Fellow at Stanford University School of Medicine

Akshay is Knight-Hennessy scholar and PD Soros Fellow at Stanford University School of Medicine, where he develops AI systems for global health. Previously Head of Data Science at Cerebral, he has over 70 peer-reviewed publications applying quantitative methods to public health problems. He is the author of Winning With Data Science (2024, Columbia University Press)
See More

Join over 18 million learners and start Demystifying Decision Science today!

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.