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  • Nutritional Science

Nutritional Science Courses

Nutritional science courses can help you learn about macronutrients, micronutrients, dietary guidelines, and the impact of food on health. You can build skills in analyzing nutritional data, creating meal plans, and understanding food labeling. Many courses introduce tools like dietary analysis software and nutritional assessment methods, which help you apply your knowledge in practical settings, whether in clinical nutrition, public health, or personal wellness.


Popular Nutritional Science Courses and Certifications


  • Status: Free Trial
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    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Feature Engineering, Data Cleansing, Statistical Inference, Data Preprocessing, Data Access, Statistical Methods, Data Quality, Probability & Statistics, Data Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Artificial Intelligence, Data Science, Data Transformation, Jupyter, Pandas (Python Package), Machine Learning, Box Plots, Scatter Plots, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Scikit Learn (Machine Learning Library)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Applied Machine Learning, Classification Algorithms, Model Evaluation, Regression Analysis, AI Personalization, Machine Learning, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Deep Learning, Feature Engineering, Data Mining, Decision Tree Learning, Data Preprocessing, Statistical Machine Learning, Text Mining, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming Foundations with JavaScript, HTML and CSS

    Skills you'll gain: HTML and CSS, Programming Principles, Javascript, Web Development, Web Design, Computational Thinking, Computer Programming, Software Development, Debugging, Data Ethics, Cascading Style Sheets (CSS), Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Feature Engineering, Classification Algorithms, Data Cleansing, Statistical Inference, Data Preprocessing, Data Access, Applied Machine Learning, Statistical Methods, Model Evaluation, Data Quality, Probability & Statistics, Data Analysis, Machine Learning Algorithms, Regression Analysis, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Research, Statistical Hypothesis Testing, Statistical Analysis, Research Design, Sampling (Statistics), Science and Research, Interviewing Skills, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Data Analysis, Statistics, Regression Analysis, Report Writing, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
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    7.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Convolutional Neural Networks, Deep Learning, Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Tensorflow, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Transfer Learning, Image Analysis, Autoencoders, Applied Machine Learning, Artificial Neural Networks, Generative AI, Time Series Analysis and Forecasting, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment

    4.5
    Rating, 4.5 out of 5 stars
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    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Software Product Management

    Skills you'll gain: Agile Software Development, Requirements Analysis, Agile Methodology, Sprint Planning, Kanban Principles, Risk Management, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Software Development Methodologies, Software Development, User Requirements Documents, Scrum (Software Development), Software Technical Review, Product Management, Product Requirements, Risk Management Framework, Project Management

    4.7
    Rating, 4.7 out of 5 stars
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    12K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Computer Communications

    Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Security, Network Planning And Design, Network Architecture, Computer Networking, Network Infrastructure, Network Performance Management, Wireless Networks, Graph Theory, Telecommunications, Software-Defined Networking, Algorithms, System Programming

    4.6
    Rating, 4.6 out of 5 stars
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    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, JUnit, Decision Tree Learning, Build Tools, MLOps (Machine Learning Operations), Performance Tuning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Java, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Machine Learning, Apache

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    R Programming: Setup and Data Processing

    Skills you'll gain: R (Software), Data Processing, R Programming, Data Manipulation, Data Structures, Statistical Programming, Data Analysis, Data Analysis Software, Software Installation, Data Science, Development Environment, Computer Programming, Computer Programming Tools, Software Development

    Mixed · Course · 1 - 4 Weeks

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

  • Exploratory Data Analysis for Machine Learning: IBM
  • Generative AI: Introduction and Applications: IBM
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Machine Learning: University of Washington
  • Programming Foundations with JavaScript, HTML and CSS: Duke University
  • IBM Introduction to Machine Learning: IBM
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Software Product Management: University of Alberta
  • Computer Communications: University of Colorado System

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