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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 Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

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

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Semiconductor Manufacturing Fundamentals

    Skills you'll gain: Semiconductors, Manufacturing Standards, Production Process, Manufacturing Operations, Electronics Engineering, Manufacturing Processes, Electronics, Process Control, Process Engineering, Chemical Engineering, Materials science, Infrastructure Security, Security Controls, Network Infrastructure, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Understanding Research Methods

    Skills you'll gain: Research Methodologies, Research Design, Research, Surveys, Qualitative Research, Writing, Ethical Standards And Conduct, Data Collection, Timelines, Social Sciences

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Markov Model, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    335 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamentals of Model Checking

    Skills you'll gain: Computational Logic, Systems Design, Verification And Validation, Systems Analysis, Software Systems, Theoretical Computer Science, Computational Thinking, System Design and Implementation, Simulations, Programming Principles, Software Architecture, Software Design, Model Evaluation, Graph Theory, Software Testing, Hardware Architecture, Software Quality Assurance, Computer Architecture, Algorithms, Logical Reasoning

    4.7
    Rating, 4.7 out of 5 stars
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    9 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    An Introduction to Programming the Internet of Things (IOT)

    Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Basic Electrical Systems, Automation Engineering, User Requirements Documents, Electronics, Functional Requirement, Operating System Administration, Electronic Components, Systems Design, Operating Systems, Requirements Analysis, Network Protocols, Debugging, Application Programming Interface (API), TCP/IP, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Network Routing, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    AI & Quantum Computing – Zero to Expert Bootcamp

    Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Artificial Intelligence, Artificial Neural Networks, Computer Science, Algorithms, Data Processing, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Databases with Python

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, Data Visualization Software, Web Scraping, Data Modeling, Object Oriented Programming (OOP), Data Processing, Geographic Information Systems, Python Programming, Application Programming Interface (API)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    22K reviews

    Beginner · Course · 1 - 3 Months

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

  • Reinforcement Learning: University of Alberta
  • Semiconductor Manufacturing Fundamentals: Coursera
  • Understanding Research Methods: University of London
  • Big Data: University of California San Diego
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Fundamentals of Model Checking: University of Colorado Boulder
  • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
  • Self-Driving Cars: University of Toronto
  • IBM Introduction to Machine Learning: IBM
  • Natural Language Processing: DeepLearning.AI

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