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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.


Popular Food Science Courses and Certifications


  • Status: Free Trial
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    IBM

    Designing User Interfaces and Experiences (UI/UX)

    Skills you'll gain: User Centered Design, Responsive Web Design, Prototyping, Front-End Web Development, User Interface and User Experience (UI/UX) Design, Figma (Design Software), Design Elements And Principles, Web Design, Wireframing, Typography, Web Applications, Mobile Development

    4.4
    Rating, 4.4 out of 5 stars
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    303 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    AI and Public Health

    Skills you'll gain: Model Evaluation, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Artificial Intelligence, Machine Learning, Applied Machine Learning, Supervised Learning, Information Privacy, Deep Learning, Data Preprocessing, Environmental Monitoring, Public Health

    4.8
    Rating, 4.8 out of 5 stars
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    248 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Microsoft

    Foundations of Coding Full-Stack

    Skills you'll gain: Microsoft Copilot, Programming Principles, Full-Stack Web Development, GitHub, Version Control, Program Development, Debugging, Computational Thinking, Git (Version Control System), Computer Programming, Algorithms, Web Development, C# (Programming Language), Back-End Web Development

    4.8
    Rating, 4.8 out of 5 stars
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    171 reviews

    Beginner · Course · 1 - 3 Months

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    S

    Stanford University

    Introduction to Logic

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Problem Solving, Business Logic, Complex Problem Solving, Decision Making

    4.4
    Rating, 4.4 out of 5 stars
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    655 reviews

    Intermediate · Course · 1 - 3 Months

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    Rice University

    Principles of Computing (Part 1)

    Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

    4.7
    Rating, 4.7 out of 5 stars
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    584 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
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    175 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Everyday Excel, Part 3 (Projects)

    Skills you'll gain: Microsoft Excel, Data Validation, Excel Formulas, Analysis, Mathematical Modeling, Complex Problem Solving, Data Management

    4.8
    Rating, 4.8 out of 5 stars
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    293 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Object Oriented Programming in Java

    Skills you'll gain: Object Oriented Programming (OOP), File I/O, Object Oriented Design, Java, Java Programming, File Management, Application Development, Programming Principles, Data Structures, Data Management, Integrated Development Environments

    4.8
    Rating, 4.8 out of 5 stars
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    60 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Data Literacy

    Skills you'll gain: Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Analysis, Logistic Regression, Report Writing, Correlation Analysis, Statistical Hypothesis Testing

    4.6
    Rating, 4.6 out of 5 stars
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    266 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    Duke University

    Introduction to Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Retrieval-Augmented Generation, ChatGPT, OpenAI, Large Language Modeling, OpenAI API, Hugging Face, Microsoft Copilot, Responsible AI, Python Programming, Machine Learning, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
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    190 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    L

    LearnQuest

    Oracle Database Platform

    Skills you'll gain: Oracle SQL Developer, Oracle Databases, PL/SQL, Database Design, SQL, Database Architecture and Administration, Stored Procedure, Database Management, Data Management, Network Architecture, Command-Line Interface

    4.6
    Rating, 4.6 out of 5 stars
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    121 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
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    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Designing User Interfaces and Experiences (UI/UX): IBM
  • AI and Public Health: DeepLearning.AI
  • Foundations of Coding Full-Stack: Microsoft
  • Introduction to Logic: Stanford University
  • Principles of Computing (Part 1): Rice University
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • Everyday Excel, Part 3 (Projects): University of Colorado Boulder
  • Object Oriented Programming in Java: IBM
  • Data Literacy: Johns Hopkins University
  • Introduction to Generative AI: Duke University

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