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Results for "ai-driven+decision-making"
Johns Hopkins University
Johns Hopkins University
Skills you'll gain: Data Analysis, General Statistics, Basic Descriptive Statistics, Data Visualization, Exploratory Data Analysis, Probability & Statistics, Research and Design, Statistical Analysis, Statistical Tests
Vanderbilt University
University of Illinois Urbana-Champaign
Skills you'll gain: Decision Making, Entrepreneurship, Leadership and Management, Research and Design, Leadership Development, People Development
University of Colorado System
Coursera Project Network
Skills you'll gain: Data Analysis, Market Research, Survey Creation
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Design and Product, Research and Design, Business Design, Entrepreneurship, Leadership and Management, Problem Solving, Strategy and Operations
LearnKartS
University of California, Irvine
Skills you'll gain: Leadership and Management, Negotiation
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Basic Descriptive Statistics, Python Programming, Statistical Analysis, Statistical Tests, Mathematical Theory & Analysis, Statistical Programming, Data Visualization, Probability Distribution
- Status: Free
Technical University of Munich (TUM)
Johns Hopkins University
In summary, here are 10 of our most popular ai-driven+decision-making courses
- Data Science Decisions in Time:Sequential Hypothesis Testing: Johns Hopkins University
- Data – What It Is, What We Can Do With It: Johns Hopkins University
- Hot Topics in Criminal Justice: Vanderbilt University
- Leading Teams: Developing as a Leader: University of Illinois Urbana-Champaign
- Capstone: Creating A Sustainability Proposal: University of Colorado System
- Use SurveyMonkey to Create a Survey and Analyze Results: Coursera Project Network
- Design Thinking and Global Startup: Korea Advanced Institute of Science and Technology(KAIST)
- Models, Methods, and Artifacts: LearnKartS
- Interviewing, Negotiating a Job Offer, and Career Planning: University of California, Irvine
- Statistics for Data Science with Python: IBM