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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


  • 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

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algebra and Differential Calculus for Data Science

    Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    261 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edureka

    Use Tableau for your Data Science Workflow

    Skills you'll gain: Data Visualization, Data-Driven Decision-Making, Data Ethics, R (Software), Data Science, Data Governance, Advanced Analytics

    Beginner · Course · 1 - 4 Weeks

  • U

    University of London

    Master of Science in Cyber Security

    Skills you'll gain: Key Management, Security Management, Human Factors (Security), Application Security, Infrastructure Security, Information Privacy, Cyber Governance, Cryptography, Network Security, Threat Modeling, OSI Models, Computer Security Incident Management, Intrusion Detection and Prevention, Cyber Security Strategy, ISO/IEC 27001, Authorization (Computing), Malware Protection, Penetration Testing, Data Collection, Data Analysis

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Philosophy, Science and Religion: Philosophy and Religion

    Skills you'll gain: Research, Discussion Facilitation, Scientific Methods, Anthropology, Social Sciences, Cultural Diversity, Psychology, Sociology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    527 reviews

    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
    P

    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Applied Machine Learning, Predictive Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Genentech

    Making Data Science Work for Clinical Reporting

    Skills you'll gain: Clinical Data Management, Clinical Research, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    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
    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
    U

    Universidades Anáhuac

    Data Science: Tus Primeros Pasos con Python

    Skills you'll gain: Data Cleansing, Database Management, SQL, Databases, Data Visualization Software, Pandas (Python Package), Data Science, Jupyter, Data Manipulation, Web Scraping, Data Processing, Data Collection, Python Programming, Matplotlib, Machine Learning

    2.3
    Rating, 2.3 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
  • Use Tableau for your Data Science Workflow: Edureka
  • Master of Science in Cyber Security: University of London
  • Philosophy, Science and Religion: Philosophy and Religion: The University of Edinburgh
  • Foundations of ML & Python for Data Science: Packt
  • Statistics & Mathematics for Data Science & Data Analytics: Packt
  • Making Data Science Work for Clinical Reporting: Genentech
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Designing Larger Python Programs for Data Science: Duke University

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