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Results for "data-driven+innovation"
Duke University
Skills you'll gain: Algorithms, Computer Programming, Problem Solving, Python Programming
Interactive Brokers
Skills you'll gain: Investment Management, Leadership and Management, Risk Management, Finance, Financial Analysis, Market Analysis, Big Data, Strategy and Operations, Data Management, Machine Learning, Market Research, Regulations and Compliance, Strategy, Critical Thinking
Skills you'll gain: Algorithms, Machine Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Human Learning, Statistical Machine Learning
EIT Digital
Skills you'll gain: Machine Learning, Probability & Statistics, Regression, Statistical Machine Learning, Machine Learning Algorithms, Data Analysis, Human Learning, Statistical Tests, Applied Machine Learning, Statistical Programming
- Status: Free
University of California San Diego
Skills you'll gain: Data Science, Deep Learning, Machine Learning, Tensorflow
Duke University
Skills you'll gain: Computer Programming, DevOps, Machine Learning, Python Programming, Software Testing, System Programming
Emory University
Skills you'll gain: Social Media
University of Toronto
Skills you'll gain: Bioinformatics
Duke University
Skills you'll gain: Machine Learning, Python Programming
Johns Hopkins University
Skills you'll gain: Biostatistics, General Statistics, Probability & Statistics, Regression, Statistical Tests, Data Analysis, Critical Thinking, Statistical Analysis, Problem Solving
In summary, here are 10 of our most popular data-driven+innovation courses
- Python Programming Fundamentals: Duke University
- ESG Investing: Financial Decisions in Flux: Interactive Brokers
- Unsupervised Machine Learning: IBM
- Basic Recommender Systems: EIT Digital
- Supervised Machine Learning: Regression: IBM
- 빅 데이터 모델링 및 관리 시스템: University of California San Diego
- Deep Learning - Crash Course 2023: Packt
- Rust Programming: Duke University
- Introduction to Social Media Analytics: Emory University
- Bioinformatic Methods I: University of Toronto