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    • Clinical Science

    Clinical Science Courses Online

    Understand clinical science principles for medical research. Learn about disease mechanisms, diagnostics, and therapeutic interventions.

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    Explore the Clinical Science Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Data Literacy, Data Mining, Generative AI, Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, ChatGPT, Digital Transformation, Data Strategy, Data-Driven Decision-Making, Business Strategy, Business Process Automation, Data Architecture, Natural Language Processing, Market Opportunities, Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      95K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Cloud Services, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      29K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Materials Science: 10 Things Every Engineer Should Know

      Skills you'll gain: Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Manufacturing Processes, Structural Analysis, Engineering Analysis, Electrical Engineering, Chemistry, Thermal Management, Electronics Engineering, Electronics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting Languages, Scripting, Computational Thinking, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      232K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Manchester

      Industrial Biotechnology

      Skills you'll gain: Process Engineering, Molecular Biology, Chemical Engineering, Life Sciences, Biochemistry, Bioinformatics, Biology, Pharmaceuticals, Environmental Engineering, Manufacturing Processes, Process Development, Microbiology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Data Science Ethics

      Skills you'll gain: Data Ethics, Data Sharing, Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Intellectual Property, Data Analysis, Social Sciences, Sampling (Statistics)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      722 reviews

      Beginner · Course · 1 - 3 Months

    • S

      Stanford University

      Child Nutrition and Cooking

      Skills you'll gain: Nutrition Education, Cooking, Nutrition and Diet, Food and Beverage, Food Safety and Sanitation, Child Health, Working With Children, Community Health, Parent Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Material Behavior

      Skills you'll gain: Chemistry, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Physical Science, Engineering, Semiconductors, Physics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Python for Genomic Data Science

      Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Data Processing, Package and Software Management, Computer Programming, Data Manipulation, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 4 Weeks

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    1…91011…642

    In summary, here are 10 of our most popular clinical science courses

    • IBM AI Foundations for Business: IBM
    • Tools for Data Science: IBM
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Materials Science: 10 Things Every Engineer Should Know: University of California, Davis
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Industrial Biotechnology: University of Manchester
    • Data Science Ethics: University of Michigan
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Child Nutrition and Cooking: Stanford University
    • Computational Neuroscience: University of Washington

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