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
Skills you'll gain: Web Content Accessibility Guidelines, User Interface (UI), Usability, Web Design, Hypertext Markup Language (HTML), Front-End Web Development, UI Components, Semantic Web, Cascading Style Sheets (CSS), Javascript
Status: Free TrialArizona State University
Skills you'll gain: Design Thinking, Stakeholder Analysis, Innovation, Brainstorming, Peer Review, Creative Problem-Solving, Ideation, Business Modeling, Proposal Development, Creativity, Social Impact, Corporate Sustainability, Constructive Feedback, Collaboration
Status: PreviewVanderbilt University
Skills you'll gain: Matlab, Computer Programming, Mathematical Software, Programming Principles, Debugging, Integrated Development Environments, Data Structures, Linear Algebra, Engineering Calculations, Data Management
Status: PreviewNational Taiwan University
Skills you'll gain: Robotics, Machine Controls, Mechanics, Automation Engineering, Linear Algebra, Engineering Calculations, Applied Mathematics, Control Systems, Mathematical Modeling, Spatial Analysis
Status: Free TrialBoard Infinity
Skills you'll gain: CI/CD, Jenkins, Docker (Software), Spring Boot, Kubernetes, Configuration Management, Containerization, Scalability, Software Documentation, Application Deployment, Cloud Deployment, Java, Spring Framework, API Gateway, Back-End Web Development, JUnit, Application Programming Interface (API), Secure Coding, Java Programming, React.js
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, NumPy, Python Programming
Skills you'll gain: MySQL, Java, Database Application, Database Development, Databases, Software Development, Data Storage, Program Development, Computer Programming
Status: Free TrialSkills you'll gain: LangChain, LLM Application, Application Development, Large Language Modeling, Artificial Intelligence, Natural Language Processing
Status: Free TrialÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Image Analysis, Telecommunications, Electrical Engineering, Electrical and Computer Engineering, Embedded Systems, Electronics, Algorithms
Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2
Status: Free TrialSkills you'll gain: SAS (Software), Perl (Programming Language), Data Processing, Statistical Programming, Stored Procedure, Data Manipulation, Data Transformation, Data Analysis
Status: NewStatus: Free TrialSkills you'll gain: JUnit, Apache Maven, Spring Boot, Model View Controller, Unit Testing, Microservices, Application Development, Spring Framework, Redis, Restful API, YAML, Java, Java Programming, MongoDB, Application Deployment, NoSQL, Ajax, Hibernate (Java), Data Persistence, Software Testing
In summary, here are 10 of our most popular food science courses
- Introduction to Accessible Web Development: Coursera
- Creatividad, diseño e innovación: Técnicas y herramientas - Proyecto Final: Arizona State University
- MATLAB을 사용한 프로그래밍 소개: Vanderbilt University
- 機器人學一 (Robotics (1)): National Taiwan University
- Full-Stack Java Dev with Spring & Spring Boot: Board Infinity
- Mastering Data Analysis with Pandas: Learning Path Part 2: Coursera
- Introduction To Java Database Connectivity - JDBC: Coursera
- LangChain: Application Development Essentials: Coursera
- Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne
- Building Statistical Models in R: Linear Regression: Coursera
