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

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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
Earn a Certificate
With paid plans
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
Earn a Certificate
With paid plans

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
49 practice exercises

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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

Markov Model, Reinforcement Learning, Data-Driven Decision-Making, Data Science, Probability Distribution, Bayesian Statistics, Statistical Analysis, Time Series Analysis and Forecasting, Predictive Analytics, Sampling (Statistics), Machine Learning Methods, A/B Testing, and Anomaly Detection

What you'll learn

Skills you'll gain

Algorithms, Probability Distribution, Statistical Hypothesis Testing, Data Science, A/B Testing, Data-Driven Decision-Making, Analytics, Bayesian Statistics, Statistical Inference, Biomedical Engineering, Bioinformatics, Machine Learning Methods, Computer Vision, Magnetic Resonance Imaging, Medical Imaging, Program Development, and Image Analysis

What you'll learn

Skills you'll gain

Game Theory, Algorithms, Cybersecurity, Machine Learning Algorithms, Data-Driven Decision-Making, Reinforcement Learning, Applied Machine Learning, Data Science, and Machine Learning

What you'll learn

Skills you'll gain

Data-Driven Decision-Making, Clinical Trials, Online Advertising, Random Forest Algorithm, A/B Testing, Data Analysis, Treatment Planning, Personalized Service, Precision Medicine, Strategic Decision-Making, Root Cause Analysis, Data Science, Machine Learning, and Analytics

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Instructor

Thomas Woolf
Johns Hopkins University
4 Courses832 learners

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