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  • Quantitative Methods

Quantitative Methods Courses

Quantitative methods courses can help you learn statistical analysis, data visualization, regression techniques, and experimental design. You can build skills in hypothesis testing, data interpretation, and predictive modeling. Many courses introduce tools like R, Python, and Excel, that support analyzing data sets and applying quantitative techniques in various fields such as economics, healthcare, and social sciences.

Popular Quantitative Methods Courses and Certifications


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

    University of Cambridge

    Cosmology

    Skills you'll gain: Physics, Mathematical Modeling, Physical Science, Geometry, Differential Equations, Scientific Methods, Applied Mathematics, Quantitative Research, Science and Research, Spatial Analysis, Data Analysis, Scientific Visualization, General Science and Research, General Mathematics, Mechanics, Critical Thinking

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Histogram, Box Plots, Statistical Visualization, Statistical Analysis, Data Literacy, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C, Go, and C++: A Comprehensive Introduction to Programming

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), File I/O, Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Software Design Patterns, Debugging, Computer Programming, Unit Testing, C (Programming Language), Software Design, Program Development, Algorithms, Graph Theory, Software Testing, Code Reusability, Memory Management, C and C++

    4.5
    Rating, 4.5 out of 5 stars
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    9.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    N

    Nanyang Technological University, Singapore

    Introduction to Forensic Science

    Skills you'll gain: Criminal Investigation and Forensics, Chemistry, Investigation, Biochemistry, Laboratory Testing, Laboratory Research, Pharmacology, Science and Research, Laboratory Procedures, Molecular Biology

    4.9
    Rating, 4.9 out of 5 stars
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    2.8K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Machine Learning Methods, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Deep Learning, Mathematical Theory & Analysis, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
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    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    SQL for Data Science

    Skills you'll gain: Data Governance, SQL, Data Quality, Data Literacy, Query Languages, Database Management, Data Modeling, Relational Databases, Data Manipulation, Data Science, Data Wrangling, Data Analysis, Data Transformation, Descriptive Analytics

    4.6
    Rating, 4.6 out of 5 stars
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    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Applied DevOps Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, OpenShift, Istio, Kubernetes, Test Driven Development (TDD), Application Deployment, Devops Tools, Gherkin (Scripting Language), Jenkins, Agile Software Development, Scrum (Software Development), DevOps, Secure Coding, Grafana, System Monitoring, Agile Methodology

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    8.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining

    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
    G

    Google

    Project Execution: Running the Project

    Skills you'll gain: Quality Management, Project Closure, Team Management, Project Management, Product Quality (QA/QC), Project Management Life Cycle, Quality Assessment, Quality Assurance, Team Leadership, Project Controls, Project Implementation, Issue Tracking, Team Building, Project Coordination, Leadership and Management, Project Management Software, Project Risk Management, Data Storytelling, Risk Management, Strategic Thinking

    4.8
    Rating, 4.8 out of 5 stars
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    10K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Hybrid Cloud Architect

    Skills you'll gain: Cloud-Native Computing, Cloud Security, Infrastructure as Code (IaC), Cloud Platforms, Cloud Computing, Cloud Storage, Hybrid Cloud Computing, Systems Analysis, Process Improvement, Cloud Engineering, Cloud Solutions, Cloud Development, Requirements Analysis, Data Modeling, Multi-Cloud, Infrastructure As A Service (IaaS), DevOps, Docker (Software), Solution Design, Microservices

    4.6
    Rating, 4.6 out of 5 stars
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    7.8K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • Cosmology: University of Cambridge
  • Applied Machine Learning in Python: University of Michigan
  • Biostatistics in Public Health: Johns Hopkins University
  • IBM Introduction to Machine Learning: IBM
  • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
  • Introduction to Forensic Science: Nanyang Technological University, Singapore
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • SQL for Data Science: University of California, Davis
  • IBM Applied DevOps Engineering: IBM
  • Machine Learning: University of Washington

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