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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
    Free Trial
    U

    University of Colorado Boulder

    Statistical Thermodynamics

    Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanical Engineering, Engineering Calculations, Process Engineering, Numerical Analysis, Engineering Analysis, Statistical Methods, Differential Equations, Physics, Engineering, Simulation and Simulation Software, Probability Distribution, Mathematical Modeling, Applied Mathematics, Materials science, Open Source Technology, Simulations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft SQL Server

    Skills you'll gain: Stored Procedure, Star Schema, Microsoft SQL Servers, Database Design, Relational Databases, Data Integrity, Database Development, Data Integration, SQL, Transaction Processing, Power BI, Data Warehousing, Database Management, Transact-SQL, Data Maintenance, Databases, Query Languages, Database Architecture and Administration, Database Systems, Data Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Spring Framework

    Skills you'll gain: Spring Framework, Microservices, JUnit, Model View Controller, Restful API, Spring Boot, Software Architecture, API Gateway, Web Services, Object-Relational Mapping, Transaction Processing, Data Persistence, Service Oriented Architecture, Cloud Computing Architecture, JSON, YAML, Load Balancing, Unit Testing, Java Programming, Enterprise Application Management

    3.9
    Rating, 3.9 out of 5 stars
    ·
    693 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Amazon

    Introduction to Software Development

    Skills you'll gain: Software Development Life Cycle, Object Oriented Programming (OOP), Java Programming, Java, Program Development, Software Development, Development Environment, Integrated Development Environments, Computer Programming, Software Engineering, Programming Principles

    4.4
    Rating, 4.4 out of 5 stars
    ·
    352 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Artificial Intelligence Essentials

    Skills you'll gain: Agentic systems, Artificial Intelligence, Algorithms, Python Programming, Theoretical Computer Science, Liberal Arts

    4.4
    Rating, 4.4 out of 5 stars
    ·
    32 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Model Evaluation, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Introduction to Microsoft 365 Copilot

    Skills you'll gain: Microsoft Copilot, Prompt Engineering, Microsoft 365, Microsoft Office, Microsoft Outlook, Productivity Software, Workflow Management, AI Enablement, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Presentations, Generative AI, Identity and Access Management, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    812 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Virginia

    How Things Work: An Introduction to Physics

    Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Programming Principles, Electronics, Telecommunications, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    635 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    161 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Genetics and Evolution

    Skills you'll gain: Molecular Biology, Biology, Biostatistics, Biotechnology, Environmental Science, Scientific Methods, Mathematical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

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

  • Statistical Thermodynamics: University of Colorado Boulder
  • Microsoft SQL Server: Microsoft
  • Spring Framework: LearnQuest
  • Introduction to Software Development: Amazon
  • Artificial Intelligence Essentials: University of Pennsylvania
  • Bayesian Statistics: Duke University
  • Introduction to Microsoft 365 Copilot: Microsoft
  • How Things Work: An Introduction to Physics: University of Virginia
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Support Vector Machines in Python, From Start to Finish: Coursera

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