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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

    • J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination

      4.4
      Rating, 4.4 out of 5 stars
      ·
      761 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google UX Design

      Skills you'll gain: Storyboarding, Wireframing, Responsive Web Design, User Experience Design, Design Thinking, User Research, UI/UX Research, Information Architecture, Figma (Design Software), Usability Testing, User Story, Web Design, Design Reviews, Usability, Presentations, User Experience, Design Research, Ideation, User Centered Design, Mockups

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      90K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      33K reviews

      Beginner · Specialization · 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

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Data Manipulation, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      What is Data Science?

      Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      75K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

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

      Beginner · Specialization · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Network Security, Threat Management, Incident Response, Vulnerability Management, Computer Security Incident Management, Hardening, Intrusion Detection and Prevention, Cyber Threat Intelligence, Cyber Attacks, Cybersecurity, Network Protocols, Cloud Security, Vulnerability Assessments, Network Architecture, Bash (Scripting Language), Operating Systems, Security Controls, Debugging, Python Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Computer Programming Tools, Automation, Data Analysis Software, Data Collection, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112K reviews

      Beginner · Specialization · 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, Linux Commands, Agile Software Development, Kubernetes, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Bash (Scripting Language), Cloud Services, DevOps, Git (Version Control System), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Data Science, Research Methodologies, Machine Learning, Data Collection, Computational Thinking, Economics, Policy, and Social Studies, Graph Theory, Agentic systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    Food Science learners also search

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    1…456…604

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

    • Advanced Statistics for Data Science: Johns Hopkins University
    • Google UX Design: Google
    • Machine Learning: DeepLearning.AI
    • Statistics with Python: University of Michigan
    • IBM Data Analyst: IBM
    • What is Data Science? : IBM
    • Data Science: Foundations using R: Johns Hopkins University
    • Google Cybersecurity: Google
    • Data Science Foundations: IBM
    • IBM DevOps and Software Engineering: IBM

    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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