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Food Science Courses

Food science courses can help you learn about food safety, nutrition, sensory evaluation, and food processing techniques. You can build skills in recipe formulation, quality control, and understanding food chemistry. Many courses introduce tools like statistical software for analyzing taste tests, laboratory equipment for testing food properties, and food modeling software to predict shelf life, allowing you to apply these skills in real-world food production and innovation.


More to explore:

Popular Food Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Security, Testing, and Deployment

    Skills you'll gain: CI/CD, Continuous Deployment, Application Deployment, Cloud Deployment, Restful API, Middleware, Software Testing, API Design, Azure DevOps, Postman API Platform, API Testing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Peking University

    程序设计与算法

    Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Algorithms, C++ (Programming Language), File I/O, Object Oriented Design, Computational Thinking, Graph Theory, Programming Principles, C (Programming Language), Computer Programming, Data Storage, Software Design, Computer Science, Theoretical Computer Science, Computer Architecture, Program Development, Maintainability, Software Engineering, Database Systems

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Parallel Programming in Java

    Skills you'll gain: Dataflow, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Getting Started with R

    Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science

    4.3
    Rating, 4.3 out of 5 stars
    ·
    383 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Functional Programming Principles in Scala

    Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Computer Programming, Data Structures, Integrated Development Environments, Algorithms, Computational Thinking, Unit Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Object Oriented Programming in Java

    Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Object Oriented Programming (OOP), User Interface (UI), Object Oriented Design, Computer Programming, Algorithms, Software Engineering, Data Structures, Programming Principles, Software Documentation, Development Environment, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University at Buffalo

    Blockchain Basics

    Skills you'll gain: Blockchain, Cryptography, Transaction Processing, Network Protocols, Encryption, Data Structures, Distributed Computing, FinTech, Data Integrity, Emerging Technologies, Virtual Machines, Data Validation, Algorithms, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Statistical Machine Learning, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Programming with Google Go

    Skills you'll gain: Go (Programming Language), Back-End Web Development, Object Oriented Programming (OOP), System Programming, Debugging, Algorithms, Functional Design, Computer Programming Tools, Data Access, Data Structures, Software Design, Operating Systems, Computer Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Classification Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

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

  • Introduction to Probability and Data with R: Duke University
  • Security, Testing, and Deployment: Microsoft
  • 程序设计与算法: Peking University
  • Parallel Programming in Java: Rice University
  • Getting Started with R: Coursera
  • Functional Programming Principles in Scala: École Polytechnique Fédérale de Lausanne
  • Object Oriented Programming in Java: University of California San Diego
  • Blockchain Basics: University at Buffalo
  • AI for Medicine: DeepLearning.AI
  • Programming with Google Go: University of California, Irvine

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