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

    Meta Analysis Courses Online

    Master meta-analysis for combining research findings. Learn statistical techniques for integrating results from multiple studies to draw comprehensive conclusions.

    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 Meta Analysis Course Catalog

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Social Media Marketing

      Skills you'll gain: Social Media Marketing, Social Media, Target Audience, Social Media Strategy, Social Media Management, Marketing, Key Performance Indicators (KPIs), Goal Setting, Facebook, Customer Analysis, Marketing Strategies, Marketing Channel, Digital Media Strategy, Instagram

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Data Structures, Programming Principles, Scripting Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      417 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Deep Teaching Solutions

      Learning How to Learn: Powerful mental tools to help you master tough subjects

      Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Human Learning, Willingness To Learn, Productivity, Creativity, Problem Solving, Self-Discipline, Stress Management, Self-Awareness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Business Analysis & Process Management

      Skills you'll gain: Process Analysis, Business Process, Business Analysis, Process Mapping, Workflow Management, Process Management, Process Flow Diagrams, Business Process Modeling, Stakeholder Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      6.6K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Fundamentals for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidade Estadual de Campinas

      Revisão Sistemática e Meta-análise

      Skills you'll gain: Data Synthesis, Data Collection, Scientific Methods, Research, Research Design, Research Reports, Research Methodologies, Quantitative Research, Clinical Research, Peer Review, Data Quality, Report Writing, Epidemiology, Statistical Analysis, Qualitative Research, Risk Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Ask Questions to Make Data-Driven Decisions

      Skills you'll gain: Spreadsheet Software, Stakeholder Communications, Dashboard, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Data Presentation, Business Analysis, Expectation Management, Quantitative Research, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Financial Analysis - The "Why?"

      Skills you'll gain: Financial Analysis, Finance, Accounting, Business Valuation, Financial Statements, Financial Management, Balance Sheet, Corporate Finance, Return On Investment, Income Statement, Entrepreneurial Finance, Risk Analysis, Cash Flows, Equities, Investment Management, Loans

      4.7
      Rating, 4.7 out of 5 stars
      ·
      288 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Prepare Data for Exploration

      Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Data Cleansing, Databases, Data Access, Data Quality, Data Management, Data Collection, Relational Databases, SQL, Metadata Management, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta Web Development Fundamentals

      Skills you'll gain: Django (Web Framework), Responsive Web Design, HTML and CSS, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), SQL, Database Design, Databases, Front-End Web Development, Unit Testing, MySQL, Debugging, User Interface (UI), Web Development, Web Servers, Test Driven Development (TDD), Web Applications, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

    Meta Analysis learners also search

    Digital Marketing
    Digital
    Marketing
    Entrepreneurship
    Beginner Digital Marketing
    Digital Marketing Projects
    Social Entrepreneurship
    Advanced Digital Marketing
    1…91011…557

    In summary, here are 10 of our most popular meta analysis courses

    • Introduction to Social Media Marketing: Meta
    • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
    • Data Analysis Using Python: University of Pennsylvania
    • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
    • Business Analysis & Process Management: Coursera Project Network
    • Excel Fundamentals for Data Analysis: Macquarie University
    • Introduction to Data Analysis Using Excel: Rice University
    • Revisão Sistemática e Meta-análise: Universidade Estadual de Campinas
    • Ask Questions to Make Data-Driven Decisions: Google
    • Introduction to Financial Analysis - The "Why?": University of Illinois Urbana-Champaign

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Meta Analysis

    Meta analysis is a statistical technique used to combine and analyze the results of multiple independent studies on a specific research question or topic. It involves systematically collecting and evaluating data from various studies and conducting statistical analyses to derive overall conclusions. Meta analysis provides a comprehensive overview of existing research, helps identify trends or patterns, and provides more reliable and robust evidence compared to individual studies. This methodology is commonly used in academic and scientific fields to synthesize and summarize existing research findings on a particular subject.‎

    To perform meta analysis, you will need to develop the following skills:

    1. Research Skills: You should have a strong understanding of research methods, study designs, and statistical concepts. This will help you identify and select the relevant studies for your analysis.

    2. Statistical Skills: A solid foundation in statistics is crucial for meta analysis. You will need to understand various statistical methods used in combining and analyzing data, such as effect size calculations, hypothesis testing, and meta regression.

    3. Data Management Skills: Handling and organizing large datasets is a fundamental skill for meta analysis. You should be proficient in using statistical software (e.g., R, Stata, or SPSS) to clean, manage, and analyze data efficiently.

    4. Critical Thinking: Meta analysis requires critical appraisal of studies and their findings. You should be able to assess the quality of individual studies, identify potential biases, and make unbiased conclusions based on the evidence.

    5. Communication Skills: Being able to communicate the results of your meta analysis is important. You should be able to present your findings clearly and effectively, both in written reports and verbally.

    6. Domain Knowledge: Depending on the field of study, having expertise in the specific subject matter will be beneficial. This will help you understand the context of the studies being analyzed and interpret their findings accurately.

    Remember, learning meta analysis is an iterative process that involves continuous skill development and staying up-to-date with the latest research methodologies and techniques.‎

    With Meta Analysis skills, you can pursue various job roles in fields such as academia, healthcare, market research, and consulting. Some potential job titles include:

    1. Data Analyst/Statistical Analyst: Use your skills to analyze and interpret data sets in different industries.

    2. Research Scientist: Conduct systematic reviews and meta-analyses to support evidence-based decision making.

    3. Biostatistician: Apply meta-analysis techniques in analyzing medical and healthcare data for research studies.

    4. Market Research Analyst: Utilize meta-analysis to analyze market trends and provide valuable insights to businesses.

    5. Policy Analyst: Evaluate and synthesize research findings to influence policy decisions in government and non-profit organizations.

    6. Consultant: Advise organizations on making informed decisions based on meta-analysis of various data sources.

    7. Clinical Research Associate: Conduct meta-analyses to evaluate the effectiveness of medical treatments and therapies.

    8. Epidemiologist: Use meta-analysis in researching patterns and causes of diseases within populations.

    9. Social Scientist: Employ meta-analysis techniques to aggregate findings from multiple studies to gain insights into societal issues.

    10. Education Researcher: Conduct meta-analyses to evaluate the effectiveness of educational interventions and programs.

    Remember, these job options may vary in demand and availability based on your location and industry specialization.‎

    Meta Analysis is a statistical technique used to combine and analyze data from multiple studies. It is commonly used in fields such as medicine, psychology, education, and social sciences. Therefore, individuals who are interested in conducting research, analyzing data, and drawing conclusions based on scientific evidence would be best suited for studying Meta Analysis. Additionally, individuals with a strong background in statistics and research methodology would find Meta Analysis particularly beneficial.‎

    Some topics related to Meta Analysis that you can study include:

    1. Statistical Methods: Understanding various statistical techniques such as hypothesis testing, effect sizes, and data analysis methods.

    2. Research Methods: Learning about different research designs, data collection methodologies, and ways to ensure data validity and reliability.

    3. Literature Review: Exploring the process of effectively conducting a literature review, identifying and selecting relevant studies, and extracting data for analysis.

    4. Systematic Reviews: Understanding the principles and methods of systematic reviews, including developing protocols, search strategies, and data synthesis.

    5. Meta-analysis Techniques: Learning about the different approaches to meta-analysis, including fixed-effect models, random-effects models, and network meta-analysis.

    6. Data Extraction and Analysis: Understanding how to extract and manage data from primary studies, perform statistical analysis, and interpret the results.

    7. Publication Bias and Heterogeneity: Exploring issues related to publication bias, heterogeneity, and sensitivity analysis in meta-analyses.

    8. Reporting and Interpretation: Learning how to effectively present and interpret the results of a meta-analysis, including writing a clear and concise report.

    9. Advanced Topics: Delving into advanced topics such as meta-regression, subgroup analysis, and Bayesian meta-analysis.

    10. Applications in Different Fields: Exploring how meta-analysis is applied in different fields like medicine, psychology, education, and social sciences.

    These topics can help you gain a comprehensive understanding of meta-analysis and equip you with the necessary knowledge and skills to conduct your own meta-analyses or critically evaluate existing ones.‎

    Online Meta-Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Meta analysis is a statistical technique used to combine and analyze the results of multiple independent studies on a specific research question or topic. It involves systematically collecting and evaluating data from various studies and conducting statistical analyses to derive overall conclusions. Meta analysis provides a comprehensive overview of existing research, helps identify trends or patterns, and provides more reliable and robust evidence compared to individual studies. This methodology is commonly used in academic and scientific fields to synthesize and summarize existing research findings on a particular subject. skills. Choose from a wide range of Meta-Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Meta Analysis, 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
    • Manage Cookie Preferences
    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