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    • Food Science

    Food Science Courses Online

    Study food science for understanding food properties and safety. Learn about food chemistry, microbiology, and processing techniques.

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    Explore the Food Science Course Catalog

    • U

      Universidad ORT Uruguay

      ¡A Programar! Una introducción a la programación

      Skills you'll gain: Software Engineering, Programming Principles, Software Design Patterns, Game Design, Software Testing, Computer Programming, Scripting, Debugging, Computational Thinking, Scripting Languages, Prototyping, Animations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Genentech

      Data Science with Real World Data in Pharma

      Skills you'll gain: Pharmaceuticals, Clinical Research, Clinical Trials, Statistical Analysis, Real Time Data, Data Analysis, Statistical Methods, Biostatistics, Data Science, Epidemiology, Health Informatics, Healthcare Industry Knowledge, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Michigan State University

      Game Design and Development with Unity

      Skills you'll gain: Unity Engine, Game Design, Video Game Development, Prototyping, 3D Modeling, Software Design Documents, Peer Review, Cross Platform Development, C# (Programming Language), User Interface (UI), Software Design, Animation and Game Design, User Experience, Storytelling, Software Documentation, User Experience Design, Augmented and Virtual Reality (AR/VR), Microsoft Visual Studio, UI Components, Conceptual Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      617 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Software Development Processes and Methodologies

      Skills you'll gain: Software Development Methodologies, Agile Methodology, Software Engineering, Software Development Life Cycle, Requirements Analysis, Application Deployment, Agile Software Development, Systems Development, Software Architecture, Verification And Validation, Process Driven Development, Waterfall Methodology, System Requirements, Software Testing, Scrum (Software Development), Release Management, User Requirements Documents, Development Testing, Software Design, Maintainability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Classes and Inheritance

      Skills you'll gain: Object Oriented Programming (OOP), JSON, Object Oriented Design, Unit Testing, Python Programming, Maintainability, Debugging, Software Testing, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Introduction to Software Testing

      Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Code Coverage, Software Quality Assurance, Functional Testing, Testability, Integration Testing, Test Data, Issue Tracking

      4.4
      Rating, 4.4 out of 5 stars
      ·
      783 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Regression Analysis, Descriptive Statistics, Statistical Inference, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Modeling in Power BI

      Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Transformation, Time Series Analysis and Forecasting, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      700 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad

      Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Robótica

      Skills you'll gain: Computer Programming, Computer Science, Electronics, Mobile Development, Mechanics, Electronic Components, Automation, Control Systems, Remote Access Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cybersecurity Careers

      Skills you'll gain: Cybersecurity, Technical Support and Services, Information Technology, Network Security, Cyber Security Strategy, Data Security, Computer Security Awareness Training, Cyber Security Policies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      695 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • ¡A Programar! Una introducción a la programación: Universidad ORT Uruguay
    • Data Science with Real World Data in Pharma: Genentech
    • Game Design and Development with Unity: Michigan State University
    • Software Development Processes and Methodologies: University of Minnesota
    • Python Classes and Inheritance: University of Michigan
    • Introduction to Software Testing: University of Minnesota
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Practical Time Series Analysis: The State University of New York
    • Data Modeling in Power BI: Microsoft
    • Estadística y probabilidad: Universidad Nacional Autónoma de México

    Frequently Asked Questions about Food Science

    An education in food science covers scientific principles relating to the preparation, consumption, enjoyment, sustainability, and health components of human sustenance. Courses reveal how our physiological makeup applies to cooked food, geographical and cultural influences on food, and rationales behind food preparation. Food Science also covers public health crises, such as obesity and Type 2 Diabetes, and their link to unhealthful eating.

    Food Science is becoming increasingly important to learn as the consumption of heavily processed foods proliferates, and as culture shifts away from the preparation of food at home. It’s crucial that learners interested in the field gain expertise in the prevention of diet-related diseases, the ability to create meals based on scientific principles, and methodologies related to sustainable food production. ‎

    Learners who study Food Science can enjoy career opportunities in gastronomy and health-related fields, such as Chef or Nutritional Therapist, as well as other roles that incorporate food-based skills. The myriad of jobs available include Food Scientist, Quality Assurance Manager, Food Toxicologist, Product Development Scientist, Scientific Laboratory Technician, Biochemist, Flavor Chemist, Food Ingredient Sales, Food Inspector, Sensory Scientist, and many other roles related to the study or handling of food.‎

    Online courses are a great way to earn credits, or boost professional development, in Food Science. Courses offered through Coursera include practical discussions about food and the environment in which we consume it, helping learners have the tools they need to distinguish between foods that will support or harm their health. Sciences such as biology, chemistry, and physics are covered, and how recent changes in food have greatly altered the way our bodies process it. Wider issues in sustainable manufacturing and bioethics are also covered, as well as how these technologies translate into real-world applications that benefit society and our daily lives.

    Assignments in Food Science courses show learners how to appreciate the scientific basis of various recipes, develop their own recipes, recognize the influence of the material world on our five senses, and understand the art of integrating science into cooking and dining. Successful learners will be able to present their rationales for healthy eating, create a long-term weight management plan, practice science-backed cooking methodologies, and examine ways to ensure a growing human population is fed.‎

    Because food science combines so many topics, a background in chemistry, biology, biochemistry, agriculture, chemical engineering, nutrition, microbiology, physics, and physics can all be helpful if you're planning to study the topic. And, of course, any background you have working in the food industry can be helpful. Even if you simply worked an entry-level job in the food industry—such as a stocker in a grocery store or as a server in a restaurant—you will have some knowledge to help you better understand food science. Many food scientists work in labs, research institutions, and universities, so a background working in these settings may be helpful too.‎

    People suited for roles in food science should have a mind for and an interest in science. But you'll also need an interest in people and their health. After all, much of food science is determining how to get food from its origin to the public without problems. You'll also need to be a stickler for details, especially when it comes to safety and hygiene. You must be able to work independently as well as part of a team, which means you'll need good communication skills. Food scientists and those who work in the food science industry will also need some background in computer science, business, and math.‎

    A professional or personal interest in science or the food industry is a good indicator that learning food science is right for you. You may be considering a career in the industry, or you may already work in a related field and want to advance your career. Perhaps you're a farmer, nutritionist, food manufacturer, or food marketer and want to know more about the science behind the food we eat so you can apply it to your job. Even as a consumer, learning about food science can help you shop smarter and eat healthier. You may learn about topics like nutrition, growing food, the evolution of food, manufacturing, and packaging.‎

    Online Food Science courses offer a convenient and flexible way to enhance your knowledge or learn new Food Science skills. Choose from a wide range of Food Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Food Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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