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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.


More to explore:

Popular Food Science Courses and Certifications


  • Status: New
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    EDUCBA

    Analyze and Apply R for Data Analytics

    Skills you'll gain: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, R Programming, Statistical Methods, Quantitative Research, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Statistical Visualization, Correlation Analysis, Descriptive Statistics, Data Analysis

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of California, Davis

    Fundamentals of Visualization with Tableau

    Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Data Ethics, Data Storytelling, Visualization (Computer Graphics), Dashboard, Tableau Software, Data Manipulation, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
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    3.4K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Python for Data Analysis: Step-By-Step with Projects

    Skills you'll gain: Data Visualization, Data Structures

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Developing Back-End Apps with Node.js and Express

    Skills you'll gain: Node.JS, Full-Stack Web Development, Server Side, Back-End Web Development, Restful API, Web Applications, Web Development, Cloud Computing, Web Servers, Javascript, GitLab, Authentications, JSON, Computer Science, Middleware

    4.5
    Rating, 4.5 out of 5 stars
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    605 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Logical Operations

    Introduction to Programming with Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, File I/O, Debugging, Data Processing, Application Development, File Management, File Systems, Programming Principles, Computer Programming, Python Programming, Scripting, Scripting Languages, Operating Systems, Software Development, Virtual Machines, Cross Platform Development

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of Washington

    Programming Languages, Part A

    Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Computer Programming, Ruby (Programming Language), Theoretical Computer Science, Software Design, Computational Thinking

    4.9
    Rating, 4.9 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Java Programming: Solving Problems with Software

    Skills you'll gain: Debugging, Java, Algorithms, Java Programming, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Data Import/Export, Integrated Development Environments, File I/O, Data Processing, Software Documentation, Data Manipulation, Object Oriented Programming (OOP), API Design, Data Analysis, Software Testing, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
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    8.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    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), Program Development, Integrated Development Environments, Graph Theory, Software Testing, Artificial Intelligence, Integration Testing, Software Design, System Design and Implementation

    4.4
    Rating, 4.4 out of 5 stars
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    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of London

    Machine Learning for All

    Skills you'll gain: Data Preprocessing, Machine Learning, Artificial Intelligence, Model Evaluation, Data Analysis, Image Analysis, Data Collection, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Analyze and Apply R for Data Analytics: EDUCBA
  • Fundamentals of Visualization with Tableau: University of California, Davis
  • Machine Learning in Production: DeepLearning.AI
  • Python for Data Analysis: Step-By-Step with Projects: Packt
  • Applied Machine Learning in Python: University of Michigan
  • Developing Back-End Apps with Node.js and Express: IBM
  • Introduction to Programming with Python: Logical Operations
  • Data Analysis with R: Duke University
  • Programming Languages, Part A: University of Washington
  • Java Programming: Solving Problems with Software: Duke University

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