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Quantitative Methods Courses Online

Learn quantitative methods for research and data analysis. Understand statistical techniques, experimental design, and data interpretation.

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Explore the Quantitative Methods Course Catalog

  • Status: Free Trial
    Free Trial
    E

    Emory University

    Survey analysis to Gain Marketing Insights

    Skills you'll gain: Customer Analysis, Statistical Analysis, Target Market, Marketing Analytics, Customer Insights, Market Research, Data Analysis, Data Analysis Software, Marketing, Marketing Strategy and Techniques, Brand Strategy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    122 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    387 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 1

    Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    526 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    248 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Bioinformatics Methods for Transcriptomics

    Skills you'll gain: Bioinformatics, Molecular Biology, R Programming, Statistical Analysis, Command-Line Interface, Linux

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Qualitative Comparative Analysis (QCA)

    Skills you'll gain: Qualitative Research, Research Design, Report Writing, Research, Research Methodologies, Social Sciences, Data Analysis Software, Case Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    158 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Customer Insights: Quantitative Techniques

    Skills you'll gain: New Product Development, Product Development, Design Thinking, Market Research, Quantitative Research, Product Management, Customer Insights, Consumer Behaviour, Market Analysis, Target Market, Forecasting, Innovation, Needs Assessment, Analysis, Data Collection, Technology Solutions

    3.7
    Rating, 3.7 out of 5 stars
    ·
    32 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Practical Engineering Data Mining: Techniques and Uses

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Tokyo

    Global Health Policy

    Skills you'll gain: Epidemiology, Gerontology, Public Health, Infectious Diseases, Health Policy, Health Equity, Health Systems, Health Care, Governance, Long Term Care, Chronic Diseases, Demography

    4.7
    Rating, 4.7 out of 5 stars
    ·
    289 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Icahn School of Medicine at Mount Sinai

    Experimental Methods in Systems Biology

    Skills you'll gain: Quantitative Research, Bioinformatics, Molecular Biology, Biotechnology, Biomedical Technology, Biochemistry, Cell Biology, Laboratory Techniques, Analytical Chemistry, Mathematical Modeling, Biology, Laboratory Equipment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    313 reviews

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular quantitative methods courses

  • Survey analysis to Gain Marketing Insights: Emory University
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
  • Matrix Methods: University of Minnesota
  • Bioinformatics Methods for Transcriptomics: Johns Hopkins University
  • Qualitative Comparative Analysis (QCA): Erasmus University Rotterdam
  • Introduction to Uncertainty Quantification: Johns Hopkins University
  • Customer Insights: Quantitative Techniques: University of Illinois Urbana-Champaign
  • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
  • Statistical Methods for Data Science: Ball State University

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