• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Quantitative Methods

    Quantitative Methods Courses Online

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

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Quantitative Methods Course Catalog

    • M

      Meta

      iOS Mobile Lifecycle and Software Development Approaches

      Skills you'll gain:

      Beginner · Course

    • G

      Google Cloud

      Introduction to Responsible AI - Bahasa Indonesia

      Skills you'll gain: Data Ethics, Artificial Intelligence, Governance, Decision Making, Business Ethics, Ethical Standards And Conduct

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Designing Larger Python Programs for Data Science

      Skills you'll gain: Python Programming, Simulations, Debugging, Statistical Methods, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Development Testing, Software Design, Computational Thinking, Integration Testing, Computer Programming, Data Manipulation, Data Structures, Data Cleansing, Data Analysis, Software Engineering, Systems Integration

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Attention Mechanism - Bahasa Indonesia

      Skills you'll gain: Machine Learning Methods, Performance Tuning, Natural Language Processing, Artificial Neural Networks, Deep Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      ChatGPT for Creatives

      Skills you'll gain: Ideation, Prompt Engineering, Storytelling, Brainstorming, Creative Thinking, ChatGPT, Creativity, Learning Strategies, Generative AI, Game Design, Data Ethics, Storyboarding, Animation and Game Design, Artificial Intelligence, Content Creation, Writing, Graphical Tools

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Nouvelles approches pour mesurer la santé de la population

      Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Sampling (Statistics), Health Informatics, Health Disparities, Health Information Management, Data Integration, Continuous Monitoring

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Image Generation - Português Brasileiro

      Skills you'll gain: Generative AI, Image Analysis, Google Cloud Platform, Deep Learning, Unsupervised Learning, Machine Learning Methods, Applied Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 한국어

      Skills you'll gain: CI/CD, Google Cloud Platform, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Continuous Deployment, Metadata Management, Continuous Integration, PyTorch (Machine Learning Library), Machine Learning Methods, Containerization

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Créer des infographies attrayantes avec Creately

      Skills you'll gain: Process Flow Diagrams, Business Process, Target Audience, Data Visualization, Content Creation, Collaborative Software

      Beginner · Guided Project · Less Than 2 Hours

    • N

      Northeastern University

      Designing Engaging Dashboards for Healthcare Analytics

      Skills you'll gain: Dashboard, Data Storytelling, Data Visualization, Data Presentation, Interactive Data Visualization, Infographics, Data Literacy, Tableau Software, Data Visualization Software, Presentations, Statistical Visualization, Storytelling, Design Elements And Principles, Key Performance Indicators (KPIs), Stakeholder Communications

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      تحليل البيانات الاستكشافية

      Skills you'll gain: Exploratory Data Analysis, R Programming, Ggplot2, Statistical Methods, Data Analysis, Statistical Analysis, Unsupervised Learning, Histogram, Dimensionality Reduction, Heat Maps, Color Theory

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Sorumlu Yapay Zeka'ya Giriş

      Skills you'll gain: Data Ethics, Artificial Intelligence, Business Priorities, Accountability, Business Ethics, Ethical Standards And Conduct, Governance, Decision Making, Organizational Change

      Beginner · Course · 1 - 4 Weeks

    Quantitative Methods learners also search

    Quantitative
    Predictive Modeling
    Statistical Modeling
    Predictive Analytics
    Data Modeling
    Statistical Analysis
    Beginner Predictive Analytics
    Predictive Analytics Projects
    1…206207208…220

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

    • iOS Mobile Lifecycle and Software Development Approaches: Meta
    • Introduction to Responsible AI - Bahasa Indonesia: Google Cloud
    • Designing Larger Python Programs for Data Science: Duke University
    • Attention Mechanism - Bahasa Indonesia: Google Cloud
    • ChatGPT for Creatives: Packt
    • Nouvelles approches pour mesurer la santé de la population: Johns Hopkins University
    • Introduction to Image Generation - Português Brasileiro: Google Cloud
    • ML Pipelines on Google Cloud - 한국어: Google Cloud
    • Créer des infographies attrayantes avec Creately: Coursera Project Network
    • Designing Engaging Dashboards for Healthcare Analytics: Northeastern University

    Frequently Asked Questions about Quantitative Methods

    Quantitative Methods is a branch of mathematics that focuses on the use of numerical and statistical methods to solve real-world problems. It involves applying mathematical and statistical techniques to collect, analyze, and interpret data in order to make informed decisions. This field is widely applicable in various disciplines such as economics, finance, business, and social sciences. Quantitative Methods help researchers and professionals in making data-driven decisions, formulating strategies, predicting outcomes, and understanding patterns and trends in data.‎

    To become proficient in Quantitative Methods, you will need to learn the following skills:

    1. Mathematics: Strong mathematical skills are crucial for understanding and applying quantitative methods. You should have a solid foundation in areas such as algebra, calculus, and statistics.

    2. Statistical Analysis: Quantitative Methods often involve the manipulation and analysis of large sets of data. Proficiency in statistical analysis techniques, including descriptive statistics, hypothesis testing, regression analysis, and probability, is essential.

    3. Data Manipulation: Being able to handle and manipulate data using software tools is important. Familiarity with spreadsheet programs like Excel and statistical software like R or Python will enable you to effectively analyze and interpret data.

    4. Critical Thinking and Problem-solving: To effectively apply quantitative methods, you need strong critical thinking skills. This involves the ability to identify problems, analyze them logically, and devise appropriate quantitative solutions.

    5. Research Skills: A solid understanding of research methods and data collection techniques is essential in quantitative analysis. You should be comfortable designing research studies, collecting data, and ensuring the validity and reliability of your findings.

    6. Data Visualization: Communicating quantitative information through clear and visually appealing charts, graphs, and other visual representations is vital. Learning data visualization tools, such as Tableau or Power BI, can enhance your ability to present complex quantitative information persuasively.

    7. Programming: While not always a requirement, having some programming skills can greatly benefit your ability to work with large datasets or automate routine tasks. Learning a programming language like Python or R can enable you to perform advanced statistical analyses and data manipulation tasks efficiently.

    By acquiring these skills, you will be well-equipped to understand and apply quantitative methods effectively in various fields like economics, finance, data science, and research.‎

    With Quantitative Methods skills, you can pursue a variety of job opportunities across industries. Some potential roles include:

    1. Data Analyst: Apply your quantitative skills to gather, interpret, and analyze data to help businesses make informed decisions.

    2. Market Research Analyst: Utilize quantitative methods to collect and analyze data to identify market trends and consumer behavior patterns.

    3. Financial Analyst: Perform financial modeling, forecasting, and risk assessment using quantitative techniques to guide investment decisions.

    4. Operations Research Analyst: Apply quantitative methods to optimize business operations, such as supply chain management and logistics.

    5. Statistician: Use statistical analysis to design experiments, conduct surveys, and interpret data for research purposes.

    6. Risk Analyst: Apply quantitative techniques to identify and assess potential risks in various domains, including finance, insurance, and healthcare.

    7. Actuary: Utilize quantitative methods to analyze and predict risk and uncertainty in insurance, pension, and investment industries.

    8. Business Intelligence Analyst: Collect, analyze, and visualize data to provide insights and support strategic decision-making within organizations.

    9. Data Scientist: Utilize quantitative techniques and programming skills to analyze and uncover patterns and insights from large datasets.

    10. Econometrician: Apply quantitative methods to analyze economic data and model economic relationships.

    These are just a few examples of the numerous job opportunities that can be pursued with Quantitative Methods skills. The actual options may vary based on your individual interests, experience, and further specialization within the field.‎

    Quantitative Methods is a field of study that involves the use of mathematical and statistical techniques to analyze and solve problems. It is best suited for individuals who have a strong aptitude for numbers, logical reasoning, and problem-solving. People who enjoy working with data, conducting research, and making data-driven decisions are well-suited for studying Quantitative Methods. Additionally, individuals who are interested in fields such as economics, finance, business, social sciences, or any other discipline that requires data analysis and interpretation can benefit greatly from studying Quantitative Methods.‎

    Here are some topics that are related to Quantitative Methods that you can study:

    1. Statistics: Dive into the principles and techniques used in collecting, analyzing, and interpreting quantitative data.

    2. Data Analysis: Learn how to organize, clean, and analyze data using various statistical methods and tools.

    3. Mathematical Modeling: Explore how mathematical models are used to represent real-world phenomena and make predictions.

    4. Probability Theory: Understand the fundamental concepts and principles underlying probability and how it is used in decision making.

    5. Econometrics: Study the application of statistical methods to economic data, enabling you to analyze economic relationships and make forecasts.

    6. Operations Research: Gain knowledge of optimization techniques that help make informed decisions in complex systems.

    7. Financial Mathematics: Delve into the application of mathematical and statistical methods in finance, including portfolio management and risk analysis.

    8. Actuarial Science: Learn about the mathematical and statistical methods used to assess and manage risks in insurance, finance, and other fields.

    9. Quantitative Finance: Explore the quantitative techniques, models, and algorithms employed in financial markets and investment analysis.

    10. Linear Algebra: Develop an understanding of linear equations, vector spaces, and matrix operations, which are fundamental for quantitative analysis.

    These topics will provide you with a strong foundation in quantitative methods and open doors to various career opportunities in fields such as data analysis, finance, economics, and research.‎

    Online Quantitative Methods courses offer a convenient and flexible way to enhance your knowledge or learn new Quantitative Methods is a branch of mathematics that focuses on the use of numerical and statistical methods to solve real-world problems. It involves applying mathematical and statistical techniques to collect, analyze, and interpret data in order to make informed decisions. This field is widely applicable in various disciplines such as economics, finance, business, and social sciences. Quantitative Methods help researchers and professionals in making data-driven decisions, formulating strategies, predicting outcomes, and understanding patterns and trends in data. skills. Choose from a wide range of Quantitative Methods courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Quantitative Methods, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Do Not Sell/Share
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok