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.

Johns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Structures, Debugging, Functional Design
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Hadoop, Big Data, Application Deployment, Social Network Analysis, Data Processing, Distributed Computing, Java, Text Mining, Graph Theory, File Systems
Mixed · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Data Presentation, Data Visualization, Advanced Analytics, Stakeholder Analysis, Interactive Data Visualization, Data Visualization Software, Data Literacy, Design Elements And Principles, Exploratory Data Analysis, Proposal Development, Data Ethics, Data Analysis, Graphing, Visualization (Computer Graphics), Pivot Tables And Charts, Data Mapping, Storyboarding
Beginner · Specialization · 3 - 6 Months

University of California, Davis
Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Data Ethics, Data Storytelling, Visualization (Computer Graphics), Dashboard, Tableau Software, Data Manipulation, Data Import/Export
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Data Science, Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Mechanics, Physics, Experimentation, Engineering Calculations, Applied Mathematics, Physical Science, Systems Of Measurement, Engineering Analysis, Mathematical Modeling, Estimation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AI Enablement, AI Workflows, Responsible AI, Strategic Thinking, Generative AI, Emerging Technologies, Analysis
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Programming Principles, Scripting, Scripting Languages, Data Structures, Development Environment, Microsoft Visual Studio, Integrated Development Environments, Computer Programming, Software Installation, Algorithms, Debugging
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Specialization · 3 - 6 Months