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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

    • I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Version Control, Other Programming Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Statistics with Python

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Matplotlib, Statistical Visualization, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Descriptive Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Computer Programming Tools, Data Analysis Software, Data Cleansing, GitHub, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      98K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      Duke University

      Data Science Math Skills

      Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Statistics, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Artificial Intelligence, Generative AI, Data Ethics, Cloud Storage, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure As A Service (IaaS), Big Data, Emerging Technologies, Applied Machine Learning, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Storytelling, Data Ethics, Data Presentation, Data Analysis, Data-Driven Decision-Making, Analytical Skills, Data Science, Project Design, Communication, Business, Business Ethics, Business Workflow Analysis, Stakeholder Communications, Professional Networking, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Advanced · Course · 1 - 3 Months

    • D

      Duke University

      Programming Fundamentals

      Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Software Testing, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Development Environment, Version Control, File Management, Jupyter, Software Engineering, Software Development Tools, Application Deployment, Collaborative Software, Automation, Flask (Web Framework), Web Scraping, Python Programming, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Graphing, Javascript, Computer Networking, Computational Thinking, Theoretical Computer Science, Human Computer Interaction, Program Development, Hardware Architecture, Arithmetic, Computer Graphics, Operating Systems, Applied Mathematics, Mathematical Modeling, Computer Programming, General Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Material Processing

      Skills you'll gain: Chemistry, Chemical Engineering, Manufacturing Processes, Mechanical Engineering, Engineering, Process Engineering, Physical Science, Semiconductors

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Back-End Development

      Skills you'll gain: Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Linux Commands, Kubernetes, Unit Testing, Application Deployment, NoSQL, Bash (Scripting Language), MongoDB, Shell Script, Django (Web Framework), Cloud-Native Computing, Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Containerization, Jupyter, Grafana

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Food Science learners also search

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    1…678…604

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

    • Tools for Data Science: IBM
    • Neural Networks and Deep Learning: DeepLearning.AI
    • Statistics with Python: University of Michigan
    • Introduction to Data Science: IBM
    • Data Science Math Skills: Duke University
    • Key Technologies for Business: IBM
    • Foundations of Data Science: Google
    • Programming Fundamentals: Duke University
    • Applied Software Engineering Fundamentals: IBM
    • Introduction to Computer Science and Programming: University of London

    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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