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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


  • S

    SAS

    Getting Started with SAS Visual Analytics

    Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Data Preprocessing, Business Analysis, Business Reporting, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    890 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    C Programming: Language Foundations - 2

    Skills you'll gain: C (Programming Language), Programming Principles, Embedded Systems, Program Development, Computer Engineering, Algorithms, Data Structures, Computer Programming, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    104 reviews

    Beginner · Course · 1 - 3 Months

  • B

    Board Infinity

    Frontend for Java Full Stack Development

    Skills you'll gain: Angular, HTML and CSS, Front-End Web Development, Javascript, Software Design Patterns, Web Components, Web Applications, Cascading Style Sheets (CSS), Web Development, TypeScript, Responsive Web Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Everyday Excel, Part 3 (Projects)

    Skills you'll gain: Microsoft Excel, Data Validation, Excel Formulas, Analysis, Mathematical Modeling, Complex Problem Solving, Data Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    294 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Architecting with Google Kubernetes Engine: Production

    Skills you'll gain: Kubernetes, CI/CD, Google Cloud Platform, Continuous Integration, Continuous Deployment, Continuous Delivery, Cloud Applications, Application Performance Management, Cloud Storage, Cloud Security, Role-Based Access Control (RBAC), Identity and Access Management, Data Storage, Authorization (Computing), Database Systems, Authentications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    953 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Terraform for absolute beginners

    Skills you'll gain: Terraform, Infrastructure as Code (IaC), Infrastructure As A Service (IaaS), Microsoft Azure, IT Automation, DevOps

    4.3
    Rating, 4.3 out of 5 stars
    ·
    195 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Python Programming Fundamentals

    Skills you'll gain: Debugging, Algorithms, Problem Solving, Data Processing, Python Programming, Software Development, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Parallel programming

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Scalability, Java Programming, Other Programming Languages, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Introducción al desarrollo web

    Skills you'll gain: HTML and CSS, Responsive Web Design, Hypertext Markup Language (HTML), Web Design and Development, Bootstrap (Front-End Framework), Web Design, Cascading Style Sheets (CSS), Web Development, Front-End Web Development, UI Components, Typography

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    179 reviews

    Beginner · Course · 1 - 3 Months

  • I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Columbia University

    Camera and Imaging

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Photography, Color Theory, Computer Graphics, Digital Signal Processing, Semiconductors, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    160 reviews

    Beginner · Course · 1 - 3 Months

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

  • Getting Started with SAS Visual Analytics : SAS
  • C Programming: Language Foundations - 2: Dartmouth College
  • Frontend for Java Full Stack Development: Board Infinity
  • Everyday Excel, Part 3 (Projects): University of Colorado Boulder
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Architecting with Google Kubernetes Engine: Production: Google Cloud
  • Terraform for absolute beginners: Coursera
  • Python Programming Fundamentals: Duke University
  • Parallel programming: École Polytechnique Fédérale de Lausanne
  • Introducción al desarrollo web: Universidad de los Andes

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