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: Responsive Web Design, Web Design, User Experience Design, Design Reviews, Wireframing, Usability Testing, User Centered Design, Design Research, User Interface (UI) Design, Prototyping, Mockups, Figma (Design Software), Information Architecture
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Semiconductors, Manufacturing Standards, Production Process, Manufacturing Operations, Electronics Engineering, Manufacturing Processes, Electronics, Process Control, Process Engineering, Chemical Engineering, Materials science, Infrastructure Security, Security Controls, Network Infrastructure, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization, Dashboard, Data Visualization Software, IBM Cognos Analytics, Microsoft Excel, Looker (Software), Scatter Plots, Tree Maps, Pivot Tables And Charts, Histogram, Data Analysis
Beginner · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Responsible AI, Data Storytelling, AI Workflows, Data Presentation, AI Enablement, Predictive Modeling, Decision Support Systems, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining
Intermediate · Specialization · 1 - 3 Months

University of Amsterdam
Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, AI Enablement, Strategic Thinking, Generative AI, Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Data Analysis, Scatter Plots, Box Plots, Data Science, Spatial Data Analysis, Histogram, UI Components, Application Deployment
Beginner · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Analytics, Performance Analysis, Descriptive Analytics, Business Analytics, Data-Driven Decision-Making, Data Analysis, Media and Communications, Analysis, Predictive Analytics, Performance Measurement, Data Collection, Small Data, Big Data, Spatial Analysis, Research, Performance Reporting, Learning Styles, Innovation, Leadership, Communication
Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Social Sciences
Intermediate · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science
Intermediate · Course · 1 - 4 Weeks