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 PKO BP

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

Instructor

Thomas Woolf
Johns Hopkins University
4 Courses500 learners

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