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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: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Solve Tree Problems with Java Recursion

    Skills you'll gain: Performance Tuning, Java, Enterprise Application Management, Computational Thinking, Algorithms, Data Structures, Scalability, Programming Principles, Debugging, Management Consulting, Mitigation, Project Implementation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Data Analysis Using Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    React Basics

    Skills you'll gain: Mobile Development, React.js, Web Applications, Event-Driven Programming, Application Development, UI Components, Front-End Web Development, Cascading Style Sheets (CSS), Javascript, Hypertext Markup Language (HTML), Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    A

    Alberta Machine Intelligence Institute

    Introduction to Generative AI: Concepts and Techniques

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, Large Language Modeling, ChatGPT, OpenAI API, Open Source Technology, Responsible AI, Embeddings, Artificial Intelligence, Data Ethics, Natural Language Processing, Information Privacy

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Material Behavior

    Skills you'll gain: Materials science, Chemistry, Structural Analysis, Mechanical Engineering, Chemical Engineering, Physical Science, Semiconductors

    4.8
    Rating, 4.8 out of 5 stars
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    1.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    352 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Programming Principles, Computational Logic, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    700 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Chemistry: Reactions and Ratios

    Skills you'll gain: Scientific Methods, Chemistry, Laboratory Research, Systems Of Measurement, Physics, Materials science, Analytical Chemistry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

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

  • Solve Tree Problems with Java Recursion: Coursera
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Introduction to Data Analysis Using Excel: Rice University
  • React Basics: Meta
  • Introduction to Generative AI: Concepts and Techniques: Alberta Machine Intelligence Institute
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Generative AI: Introduction and Applications: IBM
  • Material Behavior: Georgia Institute of Technology
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • IBM AI Enterprise Workflow: IBM

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