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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


  • I

    IBM

    IBM Systems and Solutions Architect

    Skills you'll gain: Process Mapping, Business Process Modeling, Business Analysis, Cloud-Native Computing, Data Migration, Software Architecture, Stakeholder Analysis, Systems Design, Extract, Transform, Load, Systems Architecture, Communication Planning, Stakeholder Management, Data Integration, Network Security, Test Planning, Cybersecurity, Enterprise Architecture, Software Testing, Project Management, Information Technology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    306 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • D

    Duke University

    The Brain and Space

    Skills you'll gain: Spatial Analysis, Neurology, Human Learning, Psychology, Computational Thinking, Visual Impairment Education, Experimentation, Anatomy, Laboratory Research, Physiology, Biology, Magnetic Resonance Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    656 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Manchester

    Our Earth: Its Climate, History, and Processes

    Skills you'll gain: Physical Science, Environment, Hydrology, Water Resources, Mathematical Modeling, Climate Change Adaptation, Environmental Science, Biology, Simulations, Scientific Methods, Chemistry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    471 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

  • J

    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    224 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    Universidade de São Paulo

    Introdução à Ciência da Computação com Python Parte 2

    Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Theoretical Computer Science, Python Programming, Algorithms, Data Structures, Computer Science, Computational Thinking, Scripting, Scripting Languages, Software Testing, Performance Testing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.6K reviews

    Beginner · 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 Washington

    Data Manipulation at Scale: Systems and Algorithms

    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    772 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    AI Applications in People Management

    Skills you'll gain: Responsible AI, Human Resources, Data Ethics, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), People Management, Artificial Intelligence, Employee Engagement, Machine Learning, Employee Retention, Blockchain

    4.7
    Rating, 4.7 out of 5 stars
    ·
    320 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Understanding User Needs

    Skills you'll gain: Qualitative Research, User Research, Usability Testing, User Centered Design, Research Methodologies, Needs Assessment, Interviewing Skills, Research, Human Computer Interaction, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    545 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Databases for Data Scientists

    Skills you'll gain: Database Design, SQL, Database Management Systems, NoSQL, Relational Databases, Data Warehousing, Database Theory, Database Architecture and Administration, Database Administration, Databases, Database Systems, Database Management, Data Modeling, Query Languages, Big Data, Database Application, Data Integrity, Data Access, Data Science, Data Analysis

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    832 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • IBM Systems and Solutions Architect: IBM
  • The Brain and Space: Duke University
  • Our Earth: Its Climate, History, and Processes: University of Manchester
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Introdução à Ciência da Computação com Python Parte 2: Universidade de São Paulo
  • Iniciándome en la Química: Universidad Autónoma Metropolitana
  • Data Manipulation at Scale: Systems and Algorithms: University of Washington
  • AI Applications in People Management : University of Pennsylvania
  • Understanding User Needs: University of Michigan

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