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

Sponsored by FutureX

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

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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: Probability & Statistics
Category: Statistical Modeling
Category: Markov Model
Category: Predictive Modeling
Category: Time Series Analysis and Forecasting
Category: Predictive Analytics
Category: Statistics
Category: Statistical Inference
Category: Statistical Methods
Category: Statistical Analysis
Category: Data Analysis
Category: Probability
Category: Bayesian Statistics
Category: Strategic Decision-Making
Category: Sampling (Statistics)
Category: Decision Making
Category: Mathematics and Mathematical Modeling
Category: Mathematical Modeling
Category: Applied Mathematics
Category: Data-Driven Decision-Making

What you'll learn

Skills you'll gain

Category: Statistics
Category: Probability & Statistics
Category: Statistical Analysis
Category: Statistical Inference
Category: Data Analysis
Category: Statistical Methods
Category: Statistical Hypothesis Testing
Category: Applied Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Advanced Mathematics
Category: Applied Mathematics
Category: Machine Learning
Category: Mathematical Modeling

What you'll learn

Skills you'll gain

Category: Game Theory
Category: Mathematical Modeling
Category: Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Cybersecurity
Category: Strategic Leadership
Category: Business Leadership
Category: Strategic Decision-Making
Category: Network Security
Category: Applied Machine Learning

What you'll learn

Skills you'll gain

Category: Economics
Category: Economics, Policy, and Social Studies
Category: Web Analytics
Category: Econometrics
Category: A/B Testing
Category: Care Coordination
Category: Clinical Nursing
Category: Nursing Process
Category: Treatment Planning
Category: Patient Treatment
Category: Statistical Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Medical Science and Research
Category: Applied Machine Learning
Category: Clinical Trials
Category: Machine Learning Methods
Category: Machine Learning

Instructor

Thomas Woolf
Johns Hopkins University
4 Courses484 learners

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