Johns Hopkins University
Data Science Decisions in Time Specialization
Johns Hopkins University

Data Science Decisions in Time Specialization

Make higher quality decisions based on learning from data in real time. Decisions often are made after all data is collected. But, many applications need decision while data is being collected.

Thomas Woolf

Instructor: Thomas Woolf

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

3 months
at 15 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

3 months
at 15 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • hypothesis testing while data is arriving - think of A:B testing -

    flow control charts -an industry standard -and how they are developed and tested

Details to know

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Taught in English
Recently updated!

August 2024

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Specialization - 4 course series

What you'll learn

  • By the end of the course you will: (1) understand sequential testing and thus when to stop collecting data and (2) how this concept is used today.

Skills you'll gain

Category: Control Chart
Category: Testing for Vaccines
Category: Wald's ideas for stopping
Category: A:B testing
Category: working with sequential data

What you'll learn

Skills you'll gain

Category: New approaches for blood analysis
Category: Dynamic Hypothesis Testing
Category: Connections to Wald and Chernoff
Category: Algorithms for multiple hypothesis testing

What you'll learn

Skills you'll gain

Category: A:B testing
Category: Adaptive Game Play
Category: Information Theory
Category: Zero Sum Games

What you'll learn

Skills you'll gain

Category: causal models
Category: directed acyclic graphs
Category: causal forests
Category: A/B Testing
Category: structural equations

Instructor

Thomas Woolf
Johns Hopkins University
4 Courses380 learners

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