Johns Hopkins University
Data Science Decisions in Time Specialization

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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

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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

3 months to complete
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 to complete
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

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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: Markov Model
Category: Reinforcement Learning
Category: Data Analysis
Category: Data-Driven Decision-Making
Category: Sampling (Statistics)
Category: Statistical Analysis
Category: Bayesian Statistics
Category: Time Series Analysis and Forecasting
Category: Probability Distribution
Category: Statistical Methods
Category: Decision Tree Learning
Category: Anomaly Detection
Category: Machine Learning Methods

What you'll learn

Skills you'll gain

Category: Algorithms
Category: Statistical Hypothesis Testing
Category: Probability Distribution
Category: Data Science
Category: Medical Imaging
Category: Bioinformatics
Category: Computational Thinking
Category: Data-Driven Decision-Making
Category: Medical Science and Research
Category: Computer Vision
Category: Program Development
Category: Machine Learning Methods
Category: Bayesian Statistics
Category: Statistical Methods
Category: Image Analysis
Category: A/B Testing
Category: Magnetic Resonance Imaging

What you'll learn

Skills you'll gain

Category: Game Theory
Category: Algorithms
Category: Cybersecurity
Category: Data-Driven Decision-Making
Category: Machine Learning
Category: Artificial Intelligence
Category: Reinforcement Learning
Category: Data Science

What you'll learn

Skills you'll gain

Category: Regression Analysis
Category: Clinical Trials
Category: Data Analysis
Category: Random Forest Algorithm
Category: A/B Testing
Category: Online Advertising
Category: Personalized Service
Category: Data-Driven Decision-Making
Category: Precision Medicine
Category: Treatment Planning
Category: Medical Science and Research
Category: Analytics
Category: Decision Tree Learning
Category: Machine Learning
Category: Business Analytics
Category: Strategic Decision-Making
Category: Data Science

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Instructor

Thomas Woolf
Johns Hopkins University
4 Courses667 learners

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