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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
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Data Cleansing, Pivot Tables And Charts, Data Analysis, Excel Formulas, Microsoft Excel, Data Wrangling, Spreadsheet Software, Data Science, Data Entry, Data Manipulation, Data Quality, Information Privacy, Google Sheets, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Linux Commands, Bash (Scripting Language), Software Development Life Cycle, Software Architecture, GitHub, Git (Version Control System), Shell Script, Software Design, Version Control, Jupyter, Scrum (Software Development), Flask (Web Framework), Software Engineering, Software Design Patterns, Linux, Agile Methodology, Pandas (Python Package), Programming Principles, Python Programming, Web Applications

    4.6
    Rating, 4.6 out of 5 stars
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    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Cybersecurity

    Skills you'll gain: Cybersecurity, Security Controls, Information Systems Security, Security Management, Information Systems Security Assessment Framework (ISSAF), Network Security, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Ethical Standards And Conduct, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Data Storage, Program Development, Bioinformatics, Data Storage Technologies, Theoretical Computer Science, Computer Programming, Distributed Computing, Test Case, Python Programming, Programming Principles, Software Testing, C and C++, Debugging, Javascript, Java, Rust (Programming Language)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Command-Line Interface, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, User Interface and User Experience (UI/UX) Design, Web Design and Development, Javascript, Web Applications, Event-Driven Programming, Unit Testing, JavaScript Frameworks, API Design

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM Back-End Development

    Skills you'll gain: Open Web Application Security Project (OWASP), OpenShift, Linux Commands, Bash (Scripting Language), Serverless Computing, Software Development Life Cycle, Software Architecture, NoSQL, MongoDB, GitHub, Object-Relational Mapping, Git (Version Control System), Shell Script, Software Design, Containerization, Jupyter, Grafana, Flask (Web Framework), Microservices, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Model Evaluation, Retrieval-Augmented Generation, Supervised Learning, LLM Application, Unsupervised Learning, Computer Vision, PySpark, Generative Model Architectures, Keras (Neural Network Library), Convolutional Neural Networks, Generative AI, Deep Learning, Applied Machine Learning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis and Visualization Foundations

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization, IBM Cognos Analytics, Data Wrangling, Data Cleansing, Data Visualization Software, Data Analysis, Big Data, Pivot Tables And Charts, Statistical Analysis, Excel Formulas, Business Intelligence, Microsoft Excel, Apache Hadoop, Tree Maps, Dashboard, Scatter Plots, Apache Hive, Data Processing

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Data Wrangling, Big Data, Data Analysis, Statistical Analysis, Data Cleansing, Apache Hadoop, Apache Hive, Data Processing, Data Mart, Data Science, Data Warehousing, Apache Spark, Data Visualization, Data Lakes, Data Collection, Data Visualization Software, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Data Science, Version Control, Data Transformation, GitHub, R (Software), Data Literacy, Git (Version Control System), Data Analysis, R Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    38K reviews

    Beginner · Specialization · 1 - 3 Months

Searches related to nutritional science

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

  • Excel Basics for Data Analysis: IBM
  • Applied Software Engineering Fundamentals: IBM
  • Foundations of Cybersecurity: Google
  • Data Structures and Algorithms: University of California San Diego
  • Meta Front-End Developer: Meta
  • IBM Back-End Development: IBM
  • IBM AI Engineering: IBM
  • Data Analysis and Visualization Foundations: IBM
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Introduction to Data Analytics: IBM

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