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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
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    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Data Visualization, Data Presentation, Model Training, Exploratory Data Analysis, Machine Learning Methods, Applied Machine Learning, Model Optimization, Data Science, Machine Learning, Data Wrangling, Data Analysis, Data Preprocessing, Matlab, Data Processing, Technical Communication, Predictive Modeling, 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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    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Novartis

    Drug Hunting: The Science of Making New Medicines

    Skills you'll gain: Pre-Clinical Development, Drug Interaction, Clinical Trials, Pharmacology, Drug Development, Pharmaceuticals, Patient Safety, Clinical Research, Competitive Intelligence, Pharmacotherapy, Biochemical Assays, Pharmaceutical Terminology, Laboratory Research, Laboratory Testing, Medication Administration, Biochemistry, Medical Science and Research, Safety Assurance, Biotechnology, Chemistry

    4.8
    Rating, 4.8 out of 5 stars
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    293 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering

    Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Engineering Calculations, Materials science, Applied Mathematics, Advanced Mathematics, Mathematical Theory & Analysis, General Mathematics, Mathematical Modeling, Derivatives

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-1

    Skills you'll gain: Language Competency, Oral Comprehension, Traffic Flow Optimization, Vocabulary, Public Works, Literacy, Water Quality, Language Learning, Robotics, Display Devices, Grammar, Augmented Reality, Biochemistry, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    110 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of London

    Master of Science in Cyber Security

    Skills you'll gain: Digital Forensics, Human Factors (Security), Infrastructure Security, Security Management, Computer Security Incident Management, Information Privacy, Key Management, Cyber Governance, Application Security, Network Security, Threat Modeling, Business Continuity Planning, OSI Models, Security Testing, Intrusion Detection and Prevention, Cryptography, Authorization (Computing), Cyber Security Policies, Design Research, Data Ethics

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
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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, Data Collection, Extensible Languages and XML, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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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, Data Store, Databases, Descriptive Analytics, Data Persistence, Data Analysis, Graphical Tools

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Integral Calculus and Numerical Analysis for Data Science

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Applied Mathematics, Linear Algebra, Probability & Statistics, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing

    3.8
    Rating, 3.8 out of 5 stars
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    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    F

    Multiple educators

    Enhancing Reproducible Science with GitHub and Docker

    Skills you'll gain: Code Review, Version Control, GitHub, Package and Software Management, CI/CD, Continuous Integration, Open Source Technology, Code Reusability, Development Environment, Continuous Deployment, Secure Coding, Application Deployment, Software Development Tools, Docker (Software), Containerization, Data Sharing, Git (Version Control System), Automation, Software Documentation, Technical Documentation

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    Politecnico di Milano

    Being a researcher (in Information Science and Technology)

    Skills you'll gain: Research, Scientific Methods, Data Sharing, Ethical Standards And Conduct, Open Source Technology, Informatics, Intellectual Property, Technical Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    212 reviews

    Beginner · Course · 1 - 3 Months

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