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Nutritional Science Courses Online

Study nutritional science for understanding diet and health. Learn about metabolism, dietary guidelines, and nutrition-related diseases.

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Explore the Nutritional Science Course Catalog

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Materials Science

    Skills you'll gain: Materials science, Chemical Engineering, Chemistry, Engineering, Mechanical Engineering, Physical Science, Physics, Semiconductors

    4.7
    Rating, 4.7 out of 5 stars
    ·
    158 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera Instructor Network

    Data Science for Professionals

    Skills you'll gain: Predictive Modeling, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Wrangling, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Computer Graphics, Computational Thinking, General Mathematics, Systems Of Measurement, Algebra, Cryptography

    4.2
    Rating, 4.2 out of 5 stars
    ·
    262 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Accelerated Computer Science Fundamentals

    Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Engineering Software, Unstructured Data, Computer Programming, Algorithms, Data Storage Technologies, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Materials Science for Technological Application

    Skills you'll gain: Materials science, Failure Analysis, Semiconductors, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Chemical Engineering, Chemistry, Thermal Management, Engineering, Laboratory Testing, Physical Science, Physics, Engineering Analysis, Reliability, Engineering Calculations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    210 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Lausanne

    Challenging Forensic Science: How Science Should Speak to Court

    Skills you'll gain: Criminal Investigation and Forensics, Legal Proceedings, Laboratory Reports, Scientific Methods, Statistical Analysis, Report Writing, Probability & Statistics, Research, Technical Communication, Case Studies, Molecular Biology

    4.9
    Rating, 4.9 out of 5 stars
    ·
    524 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, Data Analysis, Descriptive Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Jupyter, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Program Development, Computer Graphics, Web Design and Development, Cybersecurity, Computer Programming, Problem Management, Computational Thinking, General Mathematics, Systems Of Measurement, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    777 reviews

    Advanced · Specialization · 3 - 6 Months

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

  • Introduction to Materials Science : Arizona State University
  • Data Science for Professionals: Coursera Instructor Network
  • Mathematics for Computer Science: University of London
  • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign
  • Materials Science for Technological Application: Arizona State University
  • Challenging Forensic Science: How Science Should Speak to Court: University of Lausanne
  • Data Science Math Skills: Duke University
  • Applied Data Science with Python: University of Michigan
  • Introduction to Computer Science and Programming: University of London
  • A Crash Course in Data Science: Johns Hopkins University

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