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 Colorado Boulder
Skills you'll gain: Feature Engineering, Statistical Methods, Model Evaluation, Algorithms
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Trigonometry, Systems Of Measurement, Geometry, Mathematical Modeling, Graphing, Algebra, Applied Mathematics
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Chemical Engineering, Hazard Analysis, Safety Assurance, Process Engineering, Engineering Analysis, Environmental Engineering, Engineering Calculations, Mathematical Modeling, Applied Mathematics
Mixed · Course · 1 - 4 Weeks

Scrimba
Skills you'll gain: React.js, Routing Protocols, JavaScript Frameworks, Frontend Performance, Web Content Accessibility Guidelines, UI Components, Debugging, Javascript, Context Management, User Flows, Authentications, Data Management
Advanced · Course · 1 - 3 Months

Corporate Finance Institute
Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Interactive Data Visualization, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Transformation, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Data Storytelling, Data Visualization
Advanced · Specialization · 3 - 6 Months

The University of Sydney
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Vector Databases, Engineering Analysis, Computational Logic
Intermediate · Course · 1 - 4 Weeks

Ball State University
Skills you'll gain: Data Visualization, Rmarkdown, Exploratory Data Analysis, Data Visualization Software, Ggplot2, Interactive Data Visualization, Plot (Graphics), Statistical Visualization, R (Software), R Programming, Data Storytelling, Histogram, Scatter Plots, Data Analysis, Tidyverse (R Package), Data Manipulation
Build toward a degree
Intermediate · Course · 1 - 3 Months

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

Heriot-Watt University
Skills you'll gain: Object Oriented Programming (OOP), Java, Java Programming, Computer Programming, Application Development, Programming Principles, Computational Logic, Software Development, Debugging, Data Structures
Build toward a degree
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Cleveland Clinic
Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
Beginner · Course · 1 - 4 Weeks