This specialization is for data scientists, applied mathematics, statisticians, or computer scientists, involved with decision making from data. The four courses build a firm foundation in how decisions can be meaningfully made, with confidence, on data collected in a streaming application. The level is intermediate, assuming basic math and statistics skills.
Data Science Decisions in Time Specialization
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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.
Instructor: Thomas Woolf
Included with 
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
3 months at 15 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
3 months at 15 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
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
Overview
Skills you'll gain
- Bioinformatics
- Image Analysis
- Bayesian Statistics
- Analytics
- Game Theory
- Probability Distribution
- Strategic Decision-Making
- Computational Thinking
- Statistical Analysis
- Precision Medicine
- Data-Driven Decision-Making
- Cybersecurity
- Data Science
- Time Series Analysis and Forecasting
- Clinical Trials
- Machine Learning Methods
- Markov Model
- Anomaly Detection
- Reinforcement Learning
- Algorithms
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: Data-Driven Decision-Making
Category: Data Science
Category: Sampling (Statistics)
Category: Statistical Analysis
Category: Machine Learning Methods
Category: Time Series Analysis and Forecasting
Category: Bayesian Statistics
Category: Anomaly Detection
Category: Probability Distribution
What you'll learn
Skills you'll gain
Category: Algorithms
Category: Data Science
Category: Probability Distribution
Category: Statistical Hypothesis Testing
Category: Computer Vision
Category: Magnetic Resonance Imaging
Category: Machine Learning Methods
Category: Medical Science and Research
Category: Medical Imaging
Category: Image Analysis
Category: Bayesian Statistics
Category: A/B Testing
Category: Bioinformatics
Category: Computational Thinking
Category: Statistical Methods
Category: Data-Driven Decision-Making
Category: Program Development
What you'll learn
Skills you'll gain
Category: Game Theory
Category: Algorithms
Category: Cybersecurity
Category: Machine Learning
Category: Reinforcement Learning
Category: Artificial Intelligence
Category: Data-Driven Decision-Making
Category: Data Science
What you'll learn
Skills you'll gain
Category: Clinical Trials
Category: Online Advertising
Category: Precision Medicine
Category: Data-Driven Decision-Making
Category: A/B Testing
Category: Random Forest Algorithm
Category: Strategic Decision-Making
Category: Predictive Modeling
Category: Machine Learning
Category: Analytics
Category: Data Science
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
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Frequently asked questions
It is estimated that each course will take 3-5 weeks. Your time through the course is up to you, there is no forced time limit.
The course assumes basic math and statistics.
The courses build from the first to the fourth. It is not required to take them in order, but it may be easier to follow the flow done in that order.
More questions
Financial aid available,