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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


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    E

    Erasmus University Rotterdam

    Mind of the Universe: Science in Progress

    Skills you'll gain: Creative Thinking, Research, Research Methodologies, Scientific Methods, Critical Thinking, Innovation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Manchester

    Protecting the World: Introducing Corrosion Science and Engineering

    Skills you'll gain: Chemical Engineering, Oil and Gas, Environmental Engineering, Process Engineering, Materials science, Engineering, Engineering Design Process, Failure Analysis, Industrial Design, Engineering Calculations, Chemistry, Environmental Issue, Laboratory Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    951 reviews

    Intermediate · Course · 1 - 4 Weeks

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    T

    The University of Edinburgh

    AstroTech: The Science and Technology behind Astronomical Discovery

    Skills you'll gain: Physics, Emerging Technologies, Technical Communication, Physical Science, Computational Thinking, Image Analysis, Engineering, Scientific, and Technical Instruments, Data Analysis Software

    4.7
    Rating, 4.7 out of 5 stars
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    1.2K reviews

    Beginner · Course · 1 - 3 Months

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    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Illinois Urbana-Champaign

    Constructivism and Mathematics, Science, and Technology Education

    Skills you'll gain: Mathematics Education, Education Software and Technology, Research, Science and Research, Qualitative Research

    4.7
    Rating, 4.7 out of 5 stars
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    47 reviews

    Mixed · Course · 1 - 3 Months

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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Enhancing Reproducible Science with GitHub and Docker

    Skills you'll gain: Code Review, Version Control, GitHub, Package and Software Management, CI/CD, Continuous Integration, Open Source Technology, Development Environment, Continuous Deployment, Secure Coding, Software Development Tools, Docker (Software), Containerization, Scientific Methods, Bioinformatics, Data Sharing, Git (Version Control System), Automation, Software Documentation, Technical Documentation

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Illinois at Urbana-Champaign

    Master of Science in Management | iMSM

    Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Credit Risk, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Financial Auditing, Revenue Recognition, Entrepreneurship, Data Governance, Generative AI, Financial Market, Statistical Inference, Strategic Decision-Making

    Earn a degree

    Degree · 1 - 4 Years

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    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • H

    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Pennsylvania

    Positive Psychology: Martin E. P. Seligman’s Visionary Science

    Skills you'll gain: Optimism, Personal Development, Resilience, Positive Behavior Support, Psychology, Working With Children, Education and Training, Research, Visionary, Human Development, Creativity

    4.9
    Rating, 4.9 out of 5 stars
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    6.3K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Mind of the Universe: Science in Progress: Erasmus University Rotterdam
  • Protecting the World: Introducing Corrosion Science and Engineering: University of Manchester
  • AstroTech: The Science and Technology behind Astronomical Discovery: The University of Edinburgh
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Constructivism and Mathematics, Science, and Technology Education: University of Illinois Urbana-Champaign
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Enhancing Reproducible Science with GitHub and Docker: Johns Hopkins University
  • Master of Science in Management | iMSM: University of Illinois at Urbana-Champaign
  • Data Science Fundamentals Part 2: Unit 2: Pearson

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