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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
    G

    Google

    Ask Questions to Make Data-Driven Decisions

    Skills you'll gain: Data Literacy, Spreadsheet Software, Stakeholder Communications, Dashboard, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analysis, Expectation Management, Quantitative Research, Problem Solving, Smart Goals

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Prepare Data for Exploration

    Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Management, Data Collection, SQL, Data Import/Export, Metadata Management, Unstructured Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience Design, User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Software Versioning, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, JavaScript Frameworks, User Interface and User Experience (UI/UX) Design, Javascript, Web Applications, Event-Driven Programming, Unit Testing, Application Programming Interface (API)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    38K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Recurrent Neural Networks (RNNs), Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Data Structures

    Skills you'll gain: Data Structures, Data Processing, Data Analysis, Python Programming, Data Manipulation, Software Installation, Development Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    97K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Linux Commands, Software Architecture, Application Deployment, Kubernetes, NoSQL, Bash (Scripting Language), Restful API, MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis and Visualization Foundations

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization, Data Visualization Software, Statistical Visualization, Big Data, Microsoft Excel, IBM Cognos Analytics, Data Analysis, Statistical Analysis, Apache Hadoop, Analytical Skills, Excel Formulas, Looker (Software), Scatter Plots, Tree Maps, Spreadsheet Software, Dashboard, Data Cleansing

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Software Design, Flask (Web Framework), Version Control, File Management, Linux, Software Development Methodologies, Software Design Patterns, Application Deployment, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Ask Questions to Make Data-Driven Decisions: Google
  • Prepare Data for Exploration: Google
  • Meta Front-End Developer: Meta
  • Machine Learning: DeepLearning.AI
  • AI For Everyone: DeepLearning.AI
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Python Data Structures: University of Michigan
  • The Data Scientist’s Toolbox: Johns Hopkins University
  • IBM Back-End Development: IBM
  • Excel Basics for Data Analysis: IBM

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