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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
    U

    University of Amsterdam

    Basic Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software

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

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Programming Languages, Part C

    Skills you'll gain: Ruby (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Computer Programming, Programming Principles, Functional Design, Computational Thinking, Software Design Patterns, Theoretical Computer Science, Computer Science, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    462 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Alberta

    Mountains 101

    Skills you'll gain: Hydrology, Physical Science, Biology, Water Resources, Environment and Resource Management, Cultural Diversity, Climate Change Adaptation, Environmental Science, Risk Management, Ancient History, Human Development, Physiology, World History

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to Python Programming and Essentials

    Skills you'll gain: Programming Principles, Scripting, Scripting Languages, Data Structures, Development Environment, Microsoft Visual Studio, Integrated Development Environments, Computer Programming, Software Installation, Algorithms, Debugging

    Beginner · Course · 1 - 3 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

  • 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

    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
    C

    Codio

    C++ Object Basics: Functions, Recursion, and Objects

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), C and C++, Programming Principles, Computer Programming, Software Documentation, Functional Design, Computer Science, Maintainability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    168 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Web Applications for Everybody

    Skills you'll gain: Database Design, SQL, MySQL, PHP (Scripting Language), Relational Databases, JSON, jQuery, Hypertext Markup Language (HTML), Javascript and jQuery, Ajax, Databases, Data Modeling, Database Application, Database Development, Debugging, Web Applications, Object Oriented Programming (OOP), Web Development, Secure Coding, Javascript

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Front-End Development

    Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Responsive Web Design, Front-End Web Development, User Interface (UI), JavaScript Frameworks, Web Design and Development, Web Applications, Web Development Tools, React.js, General Networking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Relational Databases

    Skills you'll gain: Relational Databases, Databases, Database Theory, Database Design, Database Systems, Database Management, SQL, Database Architecture and Administration, Database Management Systems, Query Languages, Data Modeling, Transaction Processing, Data Management, Data Integrity, System Design and Implementation, Information Technology, Data Analysis, Information Architecture, Problem Solving, Logical Reasoning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    Building Data Lakes on AWS

    Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Engineering, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    303 reviews

    Beginner · Course · 1 - 3 Months

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

  • Basic Statistics: University of Amsterdam
  • Programming Languages, Part C: University of Washington
  • Mountains 101: University of Alberta
  • Introduction to Python Programming and Essentials: Packt
  • Parallel Programming in Java: Rice University
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • C++ Object Basics: Functions, Recursion, and Objects: Codio
  • Web Applications for Everybody: University of Michigan
  • Introduction to Front-End Development: Meta

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