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Results for "computational phenotyping"
University of California, Santa Cruz
Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Software Design, Graph Theory, Computer Science, Software Testing, Computational Thinking, File Management
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Simulations, Data Visualization, Probability & Statistics, Development Environment, Statistical Inference, Algorithms
- Status: Free
University of California San Diego
Skills you'll gain: Bioinformatics, Programming Principles, Computational Thinking, Analysis
- Status: Free
University of Alberta
Skills you'll gain: Computational Thinking, Programming Principles, Computer Programming, Program Development, Software Quality Assurance, Python Programming, Algorithms, Software Design, Visualization (Computer Graphics), Debugging, Problem Management, Computer Science, Test Planning
University of Michigan
Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Threat Detection, Epidemiology
- Status: Free
Stanford University
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Business Logic, Applied Mathematics
University of Toronto
Skills you'll gain: Bioinformatics, Network Analysis, Data Mining, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Synthesis, Big Data, Data Visualization Software, Technical Communication, Scientific Visualization, Life Sciences, Science and Research, Taxonomy, Databases, Data Collection
- Status: Free
Peking University
Skills you'll gain: Bioinformatics, Life Sciences, Computational Thinking, Data Mining, Data Analysis, Statistical Modeling, Machine Learning Algorithms
Johns Hopkins University
Skills you'll gain: Bioinformatics, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences, Programming Principles, Computer Programming
- Status: Free
Coursera Project Network
Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data Processing, Application Deployment, Data Import/Export, Machine Learning
DeepLearning.AI
Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Treatment Planning, Applied Machine Learning, Patient Treatment, Predictive Analytics, Machine Learning, Artificial Intelligence, Text Mining, Medical Terminology, Natural Language Processing
- Status: Free
The University of Edinburgh
Skills you'll gain: Program Development, Software Engineering, Software Development, Computer Programming, Event-Driven Programming, Computational Thinking, Algorithms, Debugging
In summary, here are 10 of our most popular computational phenotyping courses
- C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
- Introduction to Computational Statistics for Data Scientists: Databricks
- Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
- Problem Solving, Python Programming, and Video Games: University of Alberta
- Problem Solving Using Computational Thinking: University of Michigan
- Introduction to Logic: Stanford University
- Plant Bioinformatic Methods: University of Toronto
- Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
- Algorithms for DNA Sequencing: Johns Hopkins University
- Build and deploy a stroke prediction model using R: Coursera Project Network