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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


  • D

    Duke University

    Introductory C Programming

    Skills you'll gain: Debugging, File I/O, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Problem Solving, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Data Visualization and Dashboards with Excel and Cognos

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Data Visualization, IBM Cognos Analytics, Pivot Tables And Charts, Spreadsheet Software, Microsoft Excel, Tree Maps, Scatter Plots, Histogram, Business Intelligence, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    774 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University at Buffalo

    Blockchain Basics

    Skills you'll gain: Blockchain, Cryptography, Transaction Processing, Network Protocols, Encryption, Data Structures, Distributed Computing, Virtual Environment, Data Integrity, Emerging Technologies, Data Validation, Algorithms, Verification And Validation

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

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Toronto

    Learn to Program: The Fundamentals

    Skills you'll gain: Programming Principles, Debugging, File I/O, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Algorithms, Data Structures, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of California, Davis

    Fundamentals of Visualization with Tableau

    Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Data Ethics, Data Storytelling, Visualization (Computer Graphics), Dashboard, Tableau Software, Data Manipulation, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Developing Back-End Apps with Node.js and Express

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    605 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Introduction to Structured Query Language (SQL)

    Skills you'll gain: Database Design, SQL, MySQL, Relational Databases, Databases, Data Modeling, Development Environment, PHP (Scripting Language), Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Start Writing Prompts like a Pro

    Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • U

    University of Colorado Boulder

    Everyday Excel, Part 1

    Skills you'll gain: Microsoft Excel, Excel Formulas, Data Management, Data Visualization, Spreadsheet Software, Data Validation, Data Cleansing, Data Analysis Expressions (DAX), Data Integrity, Productivity Software, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • T

    The Hong Kong University of Science and Technology

    AI Code Generation for Everyone

    Skills you'll gain: Prompt Engineering, Vibe coding, HTML and CSS, Generative AI, Web Development, Python Programming, Data Analysis, Artificial Intelligence, Data Science, Program Development, Simulations, Debugging

    Beginner · Course · 1 - 3 Months

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

  • Introductory C Programming: Duke University
  • Data Visualization and Dashboards with Excel and Cognos: IBM
  • Machine Learning Foundations for Product Managers: Duke University
  • Blockchain Basics: University at Buffalo
  • Learn to Program: The Fundamentals: University of Toronto
  • Fundamentals of Visualization with Tableau: University of California, Davis
  • Developing Back-End Apps with Node.js and Express: IBM
  • Introduction to Structured Query Language (SQL): University of Michigan
  • Start Writing Prompts like a Pro: Google
  • Introduction to Data Analysis Using Excel: Rice University

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