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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


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    The University of Edinburgh

    Philosophy, Science and Religion: Philosophy and Religion

    Skills you'll gain: Research, Discussion Facilitation, Scientific Methods, Anthropology, Social Sciences, Cultural Diversity, Psychology, Sociology

    4.6
    Rating, 4.6 out of 5 stars
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    527 reviews

    Beginner · Course · 1 - 3 Months

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    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

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    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

    4.4
    Rating, 4.4 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 3 Months

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    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

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    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

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    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

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    Universidades Anáhuac

    Data Science: Tus Primeros Pasos con Python

    Skills you'll gain: Data Cleansing, Database Management, SQL, Databases, Data Visualization Software, Pandas (Python Package), Data Science, Jupyter, Data Manipulation, Web Scraping, Data Processing, Data Collection, Python Programming, Matplotlib, Machine Learning

    2.3
    Rating, 2.3 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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    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

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    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
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    10 reviews

    Intermediate · Course · 1 - 3 Months

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    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
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    11 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Cambridge

    The science of mind and decision making

    Skills you'll gain: Human Learning, Child Development, Psychology, Empathy & Emotional Intelligence, Teaching, Decision Making, Learning Theory, Instructional Strategies, Pedagogy, Learning Strategies, Developmental Disabilities, Empathy, Working With Children, Neurology, Magnetic Resonance Imaging, Disabilities, Autism Spectrum Disorders, Medical Imaging, Electrophysiology, Human Development

    4.6
    Rating, 4.6 out of 5 stars
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    101 reviews

    Beginner · Specialization · 3 - 6 Months

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    University of Colorado Boulder

    Master of Science in Artificial Intelligence

    Skills you'll gain: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Unsupervised Learning, Supervised Learning

    Earn a degree

    Degree · 1 - 4 Years

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

  • Philosophy, Science and Religion: Philosophy and Religion: The University of Edinburgh
  • Use Tableau for your Data Science Workflow: Edureka
  • R Programming for Statistics and Data Science: Packt
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Designing Larger Python Programs for Data Science: Duke University
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Data Science: Tus Primeros Pasos con Python: Universidades Anáhuac
  • Foundations of ML & Python for Data Science: Packt
  • Statistics & Mathematics for Data Science & Data Analytics: Packt
  • Making Data Science Work for Clinical Reporting: Genentech

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