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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.


More to explore:

Popular Food Science Courses and Certifications


  • É

    École Polytechnique Fédérale de Lausanne

    Functional Program Design in Scala

    Skills you'll gain: Scala Programming, Software Design, Software Design Patterns, Functional Design, Event-Driven Programming, Java, Programming Principles, Performance Tuning, Data Structures, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    Universidad Autónoma Metropolitana

    Iniciándome en la Química

    Skills you'll gain: Chemistry, Physical Science, General Science and Research, Materials science, Scientific Methods, Taxonomy, Systems Of Measurement

    4.4
    Rating, 4.4 out of 5 stars
    ·
    69 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Finding Purpose and Meaning In Life: Living for What Matters Most

    Skills you'll gain: Goal Setting, Self-Awareness, Stress Management, Personal Development, Lifelong Learning, Mindfulness, Mental Health, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Course · 1 - 4 Weeks

  • R

    Rice University

    Linear Regression for Business Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University at Buffalo

    Digital Manufacturing & Design

    Skills you'll gain: Digital Transformation, Manufacturing Processes, Manufacturing Operations, Automation Engineering, Industrial Engineering, Business Transformation, Production Process, Digital Design, Supply Chain Management, Data-Driven Decision-Making, Market Dynamics, Workforce Development, Cybersecurity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    571 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Toronto

    Motion Planning for Self-Driving Cars

    Skills you'll gain: Traffic Flow Optimization, Machine Controls, Automation, Robotics, Graph Theory, Algorithms, Computer Vision, Mathematical Modeling, Data Mapping, Predictive Modeling, Data Structures, Spatial Data Analysis, Control Systems, Estimation, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    486 reviews

    Advanced · Course · 1 - 3 Months

  • D

    Duke University

    Java Programming: Principles of Software Design

    Skills you'll gain: Object Oriented Programming (OOP), Java, Java Programming, Software Engineering, Programming Principles, Computer Programming, Software Design, Predictive Modeling, Algorithms, Data Structures, Performance Testing, File I/O, Debugging, Application Programming Interface (API)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    354 reviews

    Intermediate · Course · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Functional Program Design in Scala: École Polytechnique Fédérale de Lausanne
  • Iniciándome en la Química: Universidad Autónoma Metropolitana
  • Finding Purpose and Meaning In Life: Living for What Matters Most: University of Michigan
  • Linear Regression for Business Statistics: Rice University
  • Deep Learning with Keras and Tensorflow: IBM
  • Digital Manufacturing & Design: University at Buffalo
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Motion Planning for Self-Driving Cars: University of Toronto
  • Java Programming: Principles of Software Design: Duke University

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