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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 Colorado Boulder

    Algebra and Differential Calculus for Data Science

    Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    261 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Power BI for Data Science and Analytics

    Skills you'll gain: Data Analysis Expressions (DAX), Data Storytelling, Analytics, Excel Formulas, Predictive Modeling, Anomaly Detection, Python Programming, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • U

    University of London

    Master of Science in Cyber Security

    Skills you'll gain: Key Management, Security Management, Human Factors (Security), Application Security, Infrastructure Security, Information Privacy, Cyber Governance, Cryptography, Network Security, Threat Modeling, Business Continuity Planning, OSI Models, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, Cyber Security Strategy, ISO/IEC 27001, Authorization (Computing), Data Collection, Data Analysis

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Preview
    Preview
    E

    Edureka

    Use Tableau for your Data Science Workflow

    Skills you'll gain: Data Visualization, Data-Driven Decision-Making, Data Ethics, R (Software), Data Science, Data Governance, Advanced Analytics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Designing Larger Python Programs for Data Science

    Skills you'll gain: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Software Design, Computational Thinking, Integration Testing, Computer Programming, Object Oriented Programming (OOP), Data Manipulation, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Genentech

    Making Data Science Work for Clinical Reporting

    Skills you'll gain: Clinical Data Management, Clinical Research, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    R Programming for Statistics and Data Science

    Skills you'll gain: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Applied Machine Learning, Predictive Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Data Science Project Capstone: Predicting Bicycle Rental

    Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Regression Analysis, Data Science, Applied Machine Learning, Forecasting, Data Analysis, Statistical Modeling, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Exploratory Data Analysis, Feature Engineering, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
  • Power BI for Data Science and Analytics: Edureka
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Master of Science in Cyber Security: University of London
  • Use Tableau for your Data Science Workflow: Edureka
  • Designing Larger Python Programs for Data Science: Duke University
  • Making Data Science Work for Clinical Reporting: Genentech
  • R Programming for Statistics and Data Science: Packt
  • Foundations of ML & Python for Data Science: Packt

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