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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 California, Santa Cruz

    Go and C++: Programming in Two Successor Languages of C

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), File I/O, Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Computer Programming, Unit Testing, Programming Principles, Algorithms, C (Programming Language), Integrated Development Environments, Graph Theory, Software Testing, Artificial Intelligence, Integration Testing, Software Design, System Design and Implementation, Game Design

    4.4
    Rating, 4.4 out of 5 stars
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    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of California San Diego

    Data Structures and Performance

    Skills you'll gain: Unit Testing, Data Structures, Java, JUnit, Performance Tuning, Debugging, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science, Unstructured Data

    4.8
    Rating, 4.8 out of 5 stars
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    2.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    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
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    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G

    Google

    Foundations of Business Intelligence

    Skills you'll gain: Stakeholder Engagement, Business Intelligence, Data-Driven Decision-Making, Dashboard, Business Analytics, Real Time Data, Data Integration, Data Modeling, Data Storytelling, Data Analysis, Key Performance Indicators (KPIs), Data Presentation, Business Process, Project Implementation, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
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    2.1K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
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    P

    Princeton University

    Algorithms, Part I

    Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)

    4.9
    Rating, 4.9 out of 5 stars
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    12K reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Start Writing Prompts like a Pro

    Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management

    4.8
    Rating, 4.8 out of 5 stars
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    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of California, Santa Cruz

    Agile Software Development with Python: TDD and BDD

    Skills you'll gain: Software Development Life Cycle, Agile Project Management, Collaborative Software, Software Development, System Testing, Acceptance Testing, Test Case, Python Programming, Cloud Management, Computer Science

    Beginner · Course · 1 - 3 Months

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    U

    Universitat Politècnica de València

    Introducción a R para ciencia de datos

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Statistical Methods, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Dataflow, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Infrastructure, Tensorflow, Data Warehousing

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algorithms for Searching, Sorting, and Indexing

    Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Pseudocode, Computational Thinking, Analysis, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    528 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
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    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
  • Data Structures and Performance: University of California San Diego
  • IBM Introduction to Machine Learning: IBM
  • Foundations of Business Intelligence: Google
  • Algorithms, Part I: Princeton University
  • Start Writing Prompts like a Pro: Google
  • Agile Software Development with Python: TDD and BDD: University of California, Santa Cruz
  • Introducción a R para ciencia de datos: Universitat Politècnica de València
  • Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI

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