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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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    The University of Edinburgh

    AstroTech: The Science and Technology behind Astronomical Discovery

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

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Exploratory Data Analysis, Applied Machine Learning, Statistical Reporting, Data Science, Machine Learning, Data Analysis, Data Processing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Cleansing, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

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    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, Technical Communication

    4.7
    Rating, 4.7 out of 5 stars
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    47 reviews

    Mixed · Course · 1 - 3 Months

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    University of North Texas

    Bachelor of Science in General Business

    Skills you'll gain: Operations Management, Mediation, Compensation and Benefits, Organizational Change, Event Management, Grammar, Sales Process, Data Mining, Data Visualization, Marketing Planning, Design Thinking, Global Marketing, Probability & Statistics, Social Studies, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Political Sciences, Music History, Sociology

    Earn a degree

    Degree · 1 - 4 Years

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    Pearson

    Data Science Fundamentals Part 2: Unit 3

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

    Beginner · Course · 1 - 4 Weeks

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    Fred Hutchinson Cancer Center

    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, Software Development Tools, Docker (Software), Containerization, Scientific Methods, Devops Tools, Data Sharing, Key Management, Git (Version Control System), Automation, Software Documentation, Technical Documentation

    Beginner · Specialization · 3 - 6 Months

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    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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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

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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

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    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    732 reviews

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Master of Science in Information Systems

    Skills you'll gain: Database Design, Enterprise Architecture, Data Governance, Database Theory, User Research, Stakeholder Engagement, Lean Methodologies, Algorithms, Database Management, Process Mapping, Unified Modeling Language, Process Analysis, Object Oriented Design, Software Architecture, Responsive Web Design, Cascading Style Sheets (CSS), Agile Methodology, Object Oriented Programming (OOP), Data Structures, Data Ethics

    Earn a degree

    Degree · 1 - 4 Years

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    Coursera

    Ace the Computer Science Interview: Strategies for Success

    Skills you'll gain: Verbal Communication Skills, Communication, Critical Thinking, Problem Solving, Composure, Interpersonal Communications, Computer Programming, Computer Science, Planning, Complex Problem Solving, Algorithms, Data Structures, Stress Management, Adaptability

    Beginner · Course · 1 - 4 Weeks

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

  • AstroTech: The Science and Technology behind Astronomical Discovery: The University of Edinburgh
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Constructivism and Mathematics, Science, and Technology Education: University of Illinois Urbana-Champaign
  • Bachelor of Science in General Business: University of North Texas
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Enhancing Reproducible Science with GitHub and Docker: Fred Hutchinson Cancer Center
  • Positive Psychology: Martin E. P. Seligman’s Visionary Science: University of Pennsylvania
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Foundations of Data Science: K-Means Clustering in Python: University of London

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