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.

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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

Flexible schedule
3 months at 15 hours a week
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

Flexible schedule
3 months at 15 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • hypothesis testing while data is arriving - think of A:B testing -

    flow control charts -an industry standard -and how they are developed and tested

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
49 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Johns Hopkins University

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: Change Control
Category: Data-Driven Decision-Making
Category: Decision Making
Category: Bayesian Statistics
Category: Data Analysis
Category: Complex Problem Solving
Category: Sampling (Statistics)
Category: Information Architecture
Category: Statistics
Category: A/B Testing
Category: Predictive Analytics
Category: Applied Machine Learning
Category: Strategic Decision-Making
Category: Operations Research
Category: Probability Distribution
Category: Anomaly Detection
Category: Clinical Trials

What you'll learn

Skills you'll gain

Category: Algorithms
Category: Data Structures
Category: Graph Theory
Category: Statistical Hypothesis Testing
Category: Probability Distribution
Category: Anomaly Detection
Category: Data Science
Category: Statistical Methods
Category: Applied Machine Learning
Category: Exploratory Data Analysis
Category: Bayesian Statistics
Category: Image Analysis
Category: Decision Tree Learning
Category: Program Development
Category: Medical Science and Research
Category: A/B Testing
Category: Bioinformatics
Category: Statistical Analysis

What you'll learn

Skills you'll gain

Category: Game Theory
Category: Algorithms
Category: Cybersecurity
Category: Machine Learning
Category: Water Resources
Category: Supervised Learning
Category: Data-Driven Decision-Making
Category: Systems Thinking
Category: Social Sciences
Category: Applied Machine Learning

What you'll learn

Skills you'll gain

Category: Decision Making
Category: Clinical Trials
Category: Random Forest Algorithm
Category: Precision Medicine
Category: Data Analysis
Category: Online Advertising
Category: A/B Testing
Category: Personalized Service
Category: Data-Driven Decision-Making
Category: Strategic Decision-Making
Category: Patient Treatment
Category: Data Collection

Earn a career certificate

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Instructor

Thomas Woolf
Johns Hopkins University
4 Courses733 learners

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