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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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    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

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    T

    The University of Edinburgh

    AstroTech: The Science and Technology behind Astronomical Discovery

    Skills you'll gain: Physics, Emerging Technologies, Technical Communication, Physical Science, Computational Thinking, Image Analysis, Engineering, Scientific, and Technical Instruments, Data Analysis Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 3 Months

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    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Leeds

    Data Science: How to Plan Projects, Research and Reflect

    Skills you'll gain: General Science and Research, Analytical Skills, Data Science, Communication, Technical Communication, Record Keeping, Critical Thinking, Technical Writing

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Manchester

    Protecting the World: Introducing Corrosion Science and Engineering

    Skills you'll gain: Chemical Engineering, Oil and Gas, Environmental Engineering, Process Engineering, Materials science, Engineering, Engineering Design Process, Failure Analysis, Industrial Design, Engineering Calculations, Chemistry, Environmental Issue, Laboratory Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    951 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    Erasmus University Rotterdam

    Mind of the Universe: Science in Progress

    Skills you'll gain: Creative Thinking, Research, Research Methodologies, Scientific Methods, Critical Thinking, Innovation

    4.4
    Rating, 4.4 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • H

    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Data Preprocessing, Responsible AI, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois at Urbana-Champaign

    Master of Science in Management | iMSM

    Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Credit Risk, Marketing, Machine Learning Algorithms, Business Strategy, Risk Management, Revenue Recognition, Financial Auditing, Entrepreneurship, Data Governance, Generative AI, Financial Market, Statistical Inference, Strategic Decision-Making

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Illinois at Urbana-Champaign

    Master of Science in Accounting | iMSA

    Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Credit Risk, Marketing, Machine Learning Algorithms, Business Strategy, Risk Management, Revenue Recognition, Financial Auditing, Entrepreneurship, Data Governance, Generative AI, Financial Market, Statistical Inference, Strategic Decision-Making

    Earn a degree

    Degree · 1 - 4 Years

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

  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • AstroTech: The Science and Technology behind Astronomical Discovery: The University of Edinburgh
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Data Science: How to Plan Projects, Research and Reflect: University of Leeds
  • Protecting the World: Introducing Corrosion Science and Engineering: University of Manchester
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Mind of the Universe: Science in Progress: Erasmus University Rotterdam
  • Data Science and Machine Learning H2O.ai Platforms: H2O.ai
  • Data Science Fundamentals Part 1: Unit 2: Pearson

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