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.

Skills you'll gain: Data Quality, Data Management, Quality Assurance, Stored Procedure, Data Cleansing, Data Integrity, Quality Improvement, Quality Assessment, Data Validation, Data Pipelines, Key Performance Indicators (KPIs), SQL, Data Processing, Extract, Transform, Load, Performance Analysis, Anomaly Detection, Continuous Monitoring, Automation, Root Cause Analysis, Trend Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Deployment, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture
Beginner · Course · 1 - 3 Months

University of Toronto
Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Adobe Premiere, Video Production, Video Editing, Adobe Creative Cloud, Post-Production, Photo/Video Production and Technology, Editing, Image Analysis, Content Creation, Music, Data Import/Export, Graphic and Visual Design, Color Theory
Beginner · Specialization · 3 - 6 Months

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

Peking University
Skills you'll gain: Data Structures, Algorithms, C++ (Programming Language), Object Oriented Programming (OOP), Graph Theory, File I/O, C (Programming Language), Computer Programming, Program Development, Programming Principles, Data Storage, Application Development, Computer Science, Application Design, Computer Architecture, Computational Thinking, Query Languages, Enterprise Application Management, Web Analytics and SEO, Software Engineering
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Mainframe Computing, COBOL (Programming Language), Software Development Life Cycle, z/OS, Unit Testing, Systems Analysis, Job Control Language (JCL), IBM DB2, Systems Development, Debugging, Pseudocode, Virtualization, Agile Methodology, Software Development, Test Driven Development (TDD), Report Writing, Relational Databases, Software Testing, Technical Support, File I/O
Intermediate · Professional Certificate · 3 - 6 Months

Packt
Skills you'll gain: Data Analysis, Relational Databases, Data Transformation
Beginner · Course · 1 - 4 Weeks

University of Florida
Skills you'll gain: Financial Planning, Risk Management, Tax Management, Financial Statements, Investments, Cash Management, Insurance, Income Tax, Financial Management, Credit Risk, Budgeting, Portfolio Management
Mixed · Course · 1 - 3 Months

University of Amsterdam
Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Data Analysis, Histogram, Statistical Analysis, Box Plots, Process Improvement, Logistic Regression, Statistics, Variance Analysis
Beginner · Course · 1 - 3 Months
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
Beginner · Course · 1 - 3 Months