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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: Preview
    Preview
    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
    ·
    47 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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

  • Status: Preview
    Preview
    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

  • Status: Free Trial
    Free Trial
    D

    Deep Teaching Solutions

    Rethinking Logic: Surprising Science of Critical Thinking

    Skills you'll gain: Critical Thinking, Curiosity, Deductive Reasoning, Independent Thinking, Open Mindset, Complex Problem Solving, Lifelong Learning, Growth Mindedness, Willingness To Learn, Systems Thinking, Cognitive flexibility, Decision Making, Social Sciences, Behavioral Economics, Scientific Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    45 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Amazon Redshift, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Dimensionality Reduction

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Designing Larger Python Programs for Data Science

    Skills you'll gain: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Software Design, Computational Thinking, Integration Testing, Computer Programming, Object Oriented Programming (OOP), Data Manipulation, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time:Sequential Hypothesis Testing

    Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Applied Machine Learning, Data Structures, Machine Learning Methods, Statistical Hypothesis Testing, Statistical Methods, Computer Vision, Algorithms, Statistical Inference, Probability Distribution, Medical Imaging

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Novartis

    Drug Hunting: The Science of Making New Medicines

    Skills you'll gain: Pre-Clinical Development, Drug Interaction, Clinical Trials, Pharmacology, Drug Development, Pharmaceuticals, Patient Safety, Clinical Research, Competitive Intelligence, Safety Standards, Laboratory Testing, Biochemical Assays, Medication Administration, Pharmacotherapy, Pharmaceutical Terminology, Safety Assurance, Biotechnology, Biochemistry, Laboratory Research, Chemistry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    275 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

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

  • Constructivism and Mathematics, Science, and Technology Education: University of Illinois Urbana-Champaign
  • Enhancing Reproducible Science with GitHub and Docker: Johns Hopkins University
  • Mind of the Universe: Science in Progress: Erasmus University Rotterdam
  • Rethinking Logic: Surprising Science of Critical Thinking: Deep Teaching Solutions
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Foundations of ML & Python for Data Science: Packt
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Designing Larger Python Programs for Data Science: Duke University
  • Data Science Decisions in Time:Sequential Hypothesis Testing: Johns Hopkins University
  • Matrix Calculus for Data Science & Machine Learning: Packt

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