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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

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Cryptography I

    Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    699 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: Agile Software Development, Cloud Computing Architecture, Cloud Services, Cloud Deployment, Agile Methodology, DevOps, Kanban Principles, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Agile Project Management, Cloud-Native Computing, User Story, Cloud Storage, Sprint Retrospectives, Sprint Planning, CI/CD, Test Driven Development (TDD), Scrum (Software Development)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Developing Back-End Apps with Node.js and Express

    Skills you'll gain: Node.JS, Server Side, Full-Stack Web Development, Back-End Web Development, Cloud Applications, Web Development, Restful API, Web Applications, Web Servers, Authentications, Javascript, Application Programming Interface (API), Computer Science, JSON, Middleware

    4.5
    Rating, 4.5 out of 5 stars
    ·
    593 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    U

    Multiple educators

    Object Oriented Programming in Java

    Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, File I/O, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), JUnit, Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Algorithms, Data Analysis, Software Design, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Interactive Data Visualization, Dashboard, Data Ethics, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Visualization Software, AI Workflows, Deep Learning, Statistical Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    236 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming: Solving Problems with Software

    Skills you'll gain: Debugging, Java, Algorithms, Java Programming, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Data Import/Export, Integrated Development Environments, File I/O, Data Processing, Software Documentation, Data Manipulation, Object Oriented Programming (OOP), API Design, Data Analysis, Software Testing, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Markov Model, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    328 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    H

    Hebrew University of Jerusalem

    Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

    Skills you'll gain: Computer Architecture, Computer Hardware, Computer Engineering, Computational Logic, Computer Programming, System Design and Implementation, Software Design, Debugging, Computer Programming Tools, Verification And Validation, Data Storage

    4.9
    Rating, 4.9 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM iOS and Android Mobile App Developer

    Skills you'll gain: React Native, Prompt Engineering, Software Development Life Cycle, Flutter (Software), Swift Programming, Mobile Development, Software Architecture, Apple Xcode, Android Studio, User Centered Design, Android Development, React Redux, Apple iOS, Responsive Web Design, Git (Version Control System), GitHub, Android (Operating System), Cascading Style Sheets (CSS), React.js, AI Personalization

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

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Natural Language Processing: DeepLearning.AI
  • Cryptography I: Stanford University
  • Machine Learning Foundations for Product Managers: Duke University
  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Developing Back-End Apps with Node.js and Express: IBM
  • Object Oriented Programming in Java: Duke University
  • Generative AI for Data Analysts: IBM
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Java Programming: Solving Problems with Software: Duke University
  • Foundations of Probability and Statistics: University of Colorado Boulder

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