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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: Free Trial
    Free Trial
    U

    University of Michigan

    The History of Rocket Science

    Skills you'll gain: Manufacturing and Production, World History, International Relations, Engineering, Scientific, and Technical Instruments, Political Sciences, Emerging Technologies, Timelines, Innovation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Statistics for Data Science Essentials

    Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

    Skills you'll gain: Artificial Intelligence, Psychology, Human Learning, Anthropology, Human Factors, Science and Research, Robotics

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Scikit Learn (Machine Learning Library), Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time

    Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Forecasting, Data Science, Strategic Decision-Making, Statistical Methods, Anomaly Detection, Applied Machine Learning, Cybersecurity, Statistical Analysis

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Data Science Teams

    Skills you'll gain: Generative AI, Data Ethics, AI Product Strategy, AI Enablement, Prompt Engineering, Responsible AI, Data Synthesis, Data-Driven Decision-Making, Data Preprocessing, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Marketing Science Certification Exam

    Skills you'll gain: Interviewing Skills, Marketing Analytics, Registration, Social Media Marketing, Digital Marketing, Data Analysis, Professional Networking, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    222 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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

    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, A/B Testing, Matplotlib, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Science & Machine Learning Fundamentals

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • The History of Rocket Science: University of Michigan
  • Statistics for Data Science Essentials: University of Pennsylvania
  • Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh
  • Python per la Data Science: Università di Napoli Federico II
  • Data Science Decisions in Time: Johns Hopkins University
  • GenAI for Data Science Teams: Coursera
  • Meta Marketing Science Certification Exam: Meta
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Statistical Methods for Data Science: Ball State University
  • Data Science Fundamentals, Part 2: Pearson

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