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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

      Python Project for Data Science

      Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.6K reviews

      Intermediate · 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, Software Architecture, Linux Commands, Kubernetes, Unit Testing, Object-Relational Mapping, Application Deployment, NoSQL, Bash (Scripting Language), MongoDB, Shell Script, Cloud-Native Computing, OpenShift, Git (Version Control System), Cloud Applications, Containerization, Jupyter, Grafana

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Visualization, Data Analysis, Tidyverse (R Package), Data Visualization Software, Statistical Programming, Data Cleansing, Data Manipulation, Programming Principles, Data Transformation, Integrated Development Environments, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Key Technologies for Business

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

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

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Professional Networking, Data Visualization, Tableau Software, Data Manipulation, Statistical Analysis, Statistical Machine Learning, Object Oriented Programming (OOP), Data Analysis, Interviewing Skills

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Agile Software Development, Kubernetes, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Bash (Scripting Language), DevOps, Git (Version Control System), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Query Languages, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis, Digital Transformation, R Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yale University

      Financial Markets

      Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Financial Policy, Enterprise Risk Management (ERM), Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Investments, Insurance, Underwriting, Derivatives, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Beginner · Course · 1 - 3 Months

    • 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

      IBM AI Foundations for Business

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Data Literacy, Data Mining, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, ChatGPT, Cloud Computing, Data Analysis, Data Science, Deep Learning, Machine Learning, Data Strategy, Business Strategy, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94K reviews

      Beginner · Specialization · 1 - 3 Months

    Food Science learners also search

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    1…456…615

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

    • Python Project for Data Science: IBM
    • IBM Back-End Development: IBM
    • Mathematics for Machine Learning: Imperial College London
    • AI For Everyone: DeepLearning.AI
    • Data Analysis with R Programming: Google
    • Key Technologies for Business: IBM
    • Google Advanced Data Analytics: Google
    • IBM DevOps and Software Engineering: IBM
    • Introduction to Data Science: IBM
    • Financial Markets: Yale University

    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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