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.
University of Michigan
Skills you'll gain: Matplotlib, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package), Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Usability, Content Management Systems, Content Management, Web Design, Web Content, User Interface (UI), HTML and CSS, Web Development, Web Components, Development Environment, Software Installation, Databases
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Real Time Data, Predictive Modeling, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Statistical Modeling
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Performance Analysis, Performance Testing, Performance Measurement, Benchmarking, Data Modeling, Data Processing, Extract, Transform, Load, Data-Driven Decision-Making, Statistical Analysis
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, Application Deployment, Containerization, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Model Evaluation, Hugging Face, Data Transformation, Feature Engineering, Data Pipelines, Image Analysis, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms
Intermediate · Course · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: File I/O, Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Scripting Languages, Integrated Development Environments, Jupyter
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Context Management, Artificial Intelligence, Performance Testing, Natural Language Processing, Integration Testing, Web Services, Business Logic, Data Validation, System Configuration
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Architecture, Cloud Computing Architecture, Extract, Transform, Load, Cost Control, Cost Reduction, Expense Management, Cost Management, Data Storage, Data Manipulation, Descriptive Analytics, Data Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: User Story, Agile Software Development, Scrum (Software Development), Agile Methodology, Kanban Principles, Backlogs, Sprint Retrospectives, Agile Project Management, Workflow Management, Sprint Planning, Team Management, Product Requirements, Lean Methodologies, Performance Measurement
Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Analytical Chemistry, Chemistry, Data Analysis, Laboratory Testing, Engineering, Scientific, and Technical Instruments, Structural Analysis, Laboratory Research, Verification And Validation, Data Flow Diagrams (DFDs), Laboratory Techniques, Problem Solving, Pivot Tables And Charts, Quality Control, Technical Documentation, Data Collection, Physics
Intermediate · Course · 1 - 4 Weeks