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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


  • M

    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    496 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Web Applications for Everybody

    Skills you'll gain: Database Design, SQL, MySQL, PHP (Scripting Language), Relational Databases, JSON, jQuery, Hypertext Markup Language (HTML), Javascript and jQuery, Ajax, Databases, Data Modeling, Database Application, Database Development, Debugging, Web Applications, Object Oriented Programming (OOP), Web Development, Secure Coding, Javascript

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California, Irvine

    Introduction to the Internet of Things and Embedded Systems

    Skills you'll gain: Embedded Systems, Internet Of Things, Embedded Software, Network Protocols, Computer Hardware, Software Systems, Wireless Networks, System Design and Implementation, Network Architecture

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Job Ready
    Job Ready
    M

    Meta

    Meta Data Analyst

    Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    Universidad Austral

    Excel aplicado a los negocios (Nivel Avanzado)

    Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Business Analysis, Data Validation, Business Analytics, Data Import/Export, Process Optimization, Business Modeling, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Alberta

    Reinforcement Learning

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Bestseller
    Bestseller
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Dashboard, Extract, Transform, Load, Data Storytelling, Data Visualization, Database Design, Presentations, Descriptive Statistics, IBM DB2, Business Intelligence, Data Visualization Software, Tableau Software, Relational Databases, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, MySQL, Star Schema, Forecasting, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
    ·
    16K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Keras (Neural Network Library), Unsupervised Learning, Apache Hadoop, Data Preprocessing, Data Science, Machine Learning, Tensorflow, Data Mining, Tidyverse (R Package), Statistical Methods, Regression Analysis, Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    RAG-Driven Generative AI

    Skills you'll gain: Generative AI, OpenAI, Data Pipelines, Data Preprocessing, Deep Learning, Scalability, Artificial Intelligence, Model Evaluation, Natural Language Processing, Machine Learning, Data Science

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • AI-Enhanced Data Analysis: From Raw Data to Deep Insights: Microsoft
  • Web Applications for Everybody: University of Michigan
  • Introduction to the Internet of Things and Embedded Systems: University of California, Irvine
  • Meta Data Analyst: Meta
  • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
  • Reinforcement Learning: University of Alberta
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • IBM Business Intelligence (BI) Analyst: IBM
  • Applied Machine Learning in Python: University of Michigan
  • Machine Learning with R: Packt

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