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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

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Instructor

Thomas Woolf
Johns Hopkins University
4 Courses820 learners

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