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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


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    Coursera

    Ace the Computer Science Interview: Strategies for Success

    Skills you'll gain: Verbal Communication Skills, Critical Thinking and Problem Solving, Communication, Critical Thinking, Problem Solving, Composure, Interpersonal Communications, Computer Programming, Communication Strategies, Computer Science, Technical Communication, Planning, Algorithms, Data Structures, Stress Management

    Beginner · Course · 1 - 4 Weeks

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    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Logic & Set Theory

    Skills you'll gain: Computational Logic, Logical Reasoning, Theoretical Computer Science, Deductive Reasoning, Programming Principles, Mathematics and Mathematical Modeling, Computer Science, Algorithms

    Beginner · Course · 1 - 3 Months

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    Howard University

    Capstone: Data Science Problem in Linear Algebra Framework

    Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Statistical Modeling, Linear Algebra, Predictive Analytics, Model Training, Unsupervised Learning, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Mixed · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Statistical Methods, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Machine Learning Algorithms, Probability Distribution, Estimation, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-2

    Skills you'll gain: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Materials science

    4.9
    Rating, 4.9 out of 5 stars
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    26 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Python Programming And Libraries for Data Science

    Skills you'll gain: Object Oriented Programming (OOP), Matplotlib, Data Visualization, Plot (Graphics), Seaborn, File I/O, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Program Development, Data Import/Export, JSON, Package and Software Management, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics), Probability Distribution

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    53 reviews

    Intermediate · Course · 1 - 3 Months

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    John Wiley & Sons

    Data Science and Machine Learning for Business Professionals

    Skills you'll gain: Statistics, Probability & Statistics, Data Analysis, Statistical Methods, Data Literacy, Data Collection, Text Mining, Unsupervised Learning, Analytical Skills, Statistical Inference, Unstructured Data, Probability, Predictive Modeling, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication

    Intermediate · Course · 3 - 6 Months

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    University of California, Irvine

    Intro to Analytic Thinking, Data Science, and Data Mining

    Skills you'll gain: Analytical Skills, Data Ethics, Data Mining, Data Science, Business Analytics, Big Data, Analytics, Descriptive Analytics, Data Analysis Software, Predictive Analytics, Small Data

    4.2
    Rating, 4.2 out of 5 stars
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    158 reviews

    Intermediate · Course · 1 - 4 Weeks

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    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-1

    Skills you'll gain: Language Competency, Oral Comprehension, Traffic Flow Optimization, Vocabulary, Public Works, Literacy, Water Quality, Language Learning, Robotics, Display Devices, Grammar, Augmented Reality, Biochemistry, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    110 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Google Colab for Data Science & AI using Python

    Skills you'll gain: Plotly, Object Oriented Programming (OOP), Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization, Interactive Data Visualization, Seaborn, Data Analysis, File I/O, NumPy, Data Visualization Software, Data Structures, Restful API, Python Programming, Application Programming Interface (API), Data Manipulation, Programming Principles, Computer Programming, Program Development

    Intermediate · Specialization · 1 - 3 Months

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

  • Ace the Computer Science Interview: Strategies for Success: Coursera
  • Discrete Math for Computer Science - Logic & Set Theory: The Hong Kong University of Science and Technology
  • Capstone: Data Science Problem in Linear Algebra Framework: Howard University
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Let’s Read! Learning Japanese through Science & Technology-2: The University of Tokyo
  • Python Programming And Libraries for Data Science: Packt
  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
  • Data Science and Machine Learning for Business Professionals: John Wiley & Sons
  • Intro to Analytic Thinking, Data Science, and Data Mining: University of California, Irvine
  • Let’s Read! Learning Japanese through Science & Technology-1: The University of Tokyo

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