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Food Science Courses

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.


Popular Food Science Courses and Certifications


  • C

    Coursera

    Build a Full Website using WordPress

    Skills you'll gain: WordPress, Content Management Systems, Web Content, Web Design and Development, Web Design, Web Development, Blogs, Social Media, Content Management, Marketing, Design, Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.3K reviews

    Advanced · Guided Project · Less Than 2 Hours

  • U

    University of California, Irvine

    An Introduction to Programming the Internet of Things (IOT)

    Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Network Protocols, Basic Electrical Systems, Automation Engineering, User Requirements Documents, Electronics, Functional Requirement, Operating System Administration, Electronic Components, Systems Design, Operating Systems, Requirements Analysis, Debugging, Application Programming Interface (API), TCP/IP, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Data Visualization and Dashboards with Excel and Cognos

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Data Visualization, IBM Cognos Analytics, Pivot Tables And Charts, Spreadsheet Software, Microsoft Excel, Tree Maps, Scatter Plots, Histogram, Business Intelligence, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • R

    Rice University

    Business Statistics and Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Model Evaluation, Sample Size Determination

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad Austral

    Fundamentos de Excel para Negocios

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis, Data Analysis Software, Data Visualization, Data Entry, Business Mathematics, Data Import/Export, Productivity Software, Data Management, Financial Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Everyday Excel

    Skills you'll gain: Microsoft Excel, Regression Analysis, Data Validation, Excel Formulas, Data Management, Data Visualization, Spreadsheet Software, Statistical Modeling, Data Cleansing, Financial Analysis, Predictive Modeling, Data Analysis Expressions (DAX), Financial Modeling, Analysis, Data Integrity, Mathematical Modeling, Productivity Software, Complex Problem Solving, Financial Forecasting, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Applied Machine Learning, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Machine Learning, Probability & Statistics, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Packt

    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Building LLM Powered Applications

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Responsible AI, Large Language Modeling, Hugging Face, Generative AI, Generative Model Architectures, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, Embeddings, Python Programming, Vector Databases, Machine Learning, Data Science

    Beginner · Course · 3 - 6 Months

  • U

    University of London

    Geometry and Calculus for Computing

    Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives

    Beginner · Course · 1 - 4 Weeks

1…616263…834

In summary, here are 10 of our most popular food science courses

  • Build a Full Website using WordPress: Coursera
  • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
  • Data Visualization and Dashboards with Excel and Cognos: IBM
  • Business Statistics and Analysis: Rice University
  • Machine Learning in Production: DeepLearning.AI
  • Fundamentos de Excel para Negocios: Universidad Austral
  • Everyday Excel: University of Colorado Boulder
  • Exploratory Data Analysis for Machine Learning: IBM
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG: Packt

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