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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


  • P

    Packt

    Building AI Agents – Fundamentals to Advanced

    Skills you'll gain: Email Automation, Agentic Workflows, AI Workflows, Multimodal Prompts, Tool Calling, Calendar Management, Machine Learning Methods, Scheduling, AI Security, Text Mining, Classification Algorithms, JSON

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    Universidad Austral

    Fundamentos de la visualización de datos con Tableau

    Skills you'll gain: Interactive Data Visualization, Data Visualization, Data Visualization Software, Tableau Software, Dashboard, Data Storytelling, Tree Maps, Data Presentation, Data Literacy, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    68 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    Universidad de los Andes

    Introducción al análisis de sistemas de control con MATLAB

    Skills you'll gain: Control Systems, Mathematical Modeling, Matlab, Systems Analysis, Simulations, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Climate Resilience and Urban Sustainability

    Skills you'll gain: Systems Thinking, Environmental Laws, Sustainable Development, Climate Change Adaptation, Land Development, Community Development, Environmental Policy, Social Impact, Sustainable Design, Social Justice, Socioeconomics, Environmental Science, Climate Change Mitigation, Energy and Utilities

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Transformation, Data Store, Applied Machine Learning, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Cloud Computing Project

    Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Platforms, Cloud Computing Architecture, Cloud Services, Virtual Networking, Distributed Computing

    4
    Rating, 4 out of 5 stars
    ·
    41 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Tableau Public for Beginners: Data Visualization Basics

    Skills you'll gain: Dashboard, Interactive Data Visualization, Data Presentation, Tableau Software, Data Visualization Software, Data Analysis Software, Digital Publishing, Key Performance Indicators (KPIs), Data Import/Export

    3.8
    Rating, 3.8 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Trustworthy AI: Managing Bias, Ethics, and Accountability

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Business Ethics, Machine Learning, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Case Studies, Law, Regulation, and Compliance, Risk Mitigation, Decision Making, Workforce Management, Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    Lund University

    Fundamentals of particle accelerator technology (NPAP MOOC)

    Skills you'll gain: Radiation Therapy, electromagnetics, High Voltage, Medical Devices, Engineering, Scientific, and Technical Instruments, Electrical Engineering, Electronics, Electronics Engineering, Medical Equipment and Technology, Physics, Equipment Design, Electrical Power, Materials science, Simulation and Simulation Software, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    106 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Building AI Agents – Fundamentals to Advanced: Packt
  • Applied Machine Learning: Johns Hopkins University
  • Fundamentos de la visualización de datos con Tableau: Universidad Austral
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Introducción al análisis de sistemas de control con MATLAB: Universidad de los Andes
  • Using Descriptive Statistics to Analyze Data in R: Coursera
  • Climate Resilience and Urban Sustainability: University of Colorado Boulder
  • Feature Engineering en Español: Google Cloud
  • Cloud Computing Project: University of Illinois Urbana-Champaign
  • Tableau Public for Beginners: Data Visualization Basics: Coursera

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