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

    Real Analysis Courses Online

    Master real analysis for advanced mathematical study. Learn about limits, continuity, differentiation, and integration in real numbers.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

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

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.
    Earn a university-issued career credential in a flexible, interactive format.
    Graduate level learning within reach.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Real Analysis Course Catalog

    • J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Politecnico di Milano

      Energy management for real estate. Methods and digital tools

      Skills you'll gain: Energy and Utilities, Building Services Engineering, Facility Management, Thermal Management, Building Codes, Environmental Management Systems, HVAC, Simulation and Simulation Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      149 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Keller Williams

      The Principles of Real Estate

      Skills you'll gain: Lead Generation, Real Estate, Real Estate Sales, Property and Real Estate, Customer Relationship Building, Sales Prospecting, Prioritization, Goal Setting, Market Data, Market Analysis, Customer Relationship Management, Market Trend, Compensation Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • K

      Keller Williams

      Manage a Real Estate Business

      Skills you'll gain: Administrative Support, Office Management, Real Estate, Organizational Skills, Real Estate Transactions, Business Planning, Business Management, Financial Planning, Professional Networking, Law, Regulation, and Compliance, Compliance Management, Vendor Relationship Management, Goal Setting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • D

      Duke University

      Linear Regression and Modeling

      Skills you'll gain: Regression Analysis, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Predictive Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Computer Programming Tools, Automation, Data Analysis Software, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Introduction to Systematic Review and Meta-Analysis

      Skills you'll gain: Clinical Trials, Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Biostatistics, Analysis, Quantitative Research, Risk Analysis, Statistical Methods, Epidemiology, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Mixed · Course · 1 - 3 Months

    Real Analysis learners also search

    Analysis
    Data Analysis
    Business Analysis
    Beginner Data Analysis
    Beginner Data Analysis
    Data Analysis Projects
    R for Data Analysis
    Data Analysis Excel
    1…8910…648

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

    • R Programming: Johns Hopkins University
    • Energy management for real estate. Methods and digital tools: Politecnico di Milano
    • The Principles of Real Estate: Keller Williams
    • Introduction to Data Analysis Using Excel: Rice University
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • IBM Data Analytics with Excel and R: IBM
    • Manage a Real Estate Business: Keller Williams
    • Excel Fundamentals for Data Analysis: Macquarie University
    • Linear Regression and Modeling : Duke University
    • Data Science Fundamentals with Python and SQL: IBM

    Frequently Asked Questions about Real Analysis

    Real analysis is a branch of mathematics that focuses on the study of real numbers and their properties. It investigates the fundamental concepts of limits, continuity, sequences, series, and functions. Real analysis aims to provide a rigorous foundation for calculus and other areas of mathematics. It involves studying concepts like differentiation, integration, and the theory of measure and integration. Real analysis also extends into more advanced topics such as functional analysis and complex analysis. Overall, it is a key subject for those interested in deepening their understanding of mathematical analysis and building a strong mathematical background.‎

    To study Real Analysis, you need to focus on the following skills:

    1. Mathematical Foundations: Having a strong understanding of mathematical concepts like algebra, calculus, and set theory is crucial for grasping the fundamentals of Real Analysis.

    2. Proof Techniques: Real Analysis heavily relies on proofs. Developing skills in writing and understanding mathematical proofs, including direct proofs, proof by contradiction, and mathematical induction, is essential.

    3. Calculus: Real Analysis builds upon the concepts of calculus, such as limits, continuity, differentiation, and integration. A solid understanding of these topics is necessary.

    4. Logic and Reasoning: Critical thinking skills, logical reasoning, and the ability to analyze complex problems are vital for studying Real Analysis. It involves understanding abstract concepts and making logical deductions.

    5. Abstraction and Generalization: Real Analysis deals with abstract mathematical structures, including metric spaces, sequences, and functions. Being able to think abstractly and generalize concepts is essential.

    6. Deductive Reasoning: Real Analysis involves deducing new facts from known information. Developing skills in deductive reasoning will help you construct logical arguments.

    7. Mathematical Notation: Real Analysis employs a unique set of mathematical symbols and notation. Familiarizing yourself with this notation will aid in understanding the subject matter.

    Remember, Real Analysis can be a challenging subject, so it's important to study these skills with patience, practice, and perseverance.‎

    With Real Analysis skills, you can explore various professional opportunities in fields such as mathematics, economics, physics, computer science, and engineering. Here are some specific job roles that typically require Real Analysis skills:

    1. Data Scientist: Real Analysis is fundamental to mathematical modeling, statistical analysis, and hypothesis testing – skills highly sought after in the data science field. As a data scientist, you would work with large datasets, draw insights, and drive data-driven decisions.

    2. Quantitative Analyst: Real Analysis plays a crucial role in quantitative finance and risk assessment. As a quantitative analyst, you would analyze financial data, develop pricing models, and evaluate investment strategies to assist in decision-making within the finance industry.

    3. Mathematician: Real Analysis forms a fundamental part of advanced mathematical research and theoretical concepts. As a mathematician, you can engage in pure or applied mathematics, conduct mathematical modeling, and investigate complex mathematical problems.

    4. Statistician: Real Analysis skills are essential for statisticians working on statistical modeling, hypothesis testing, and developing statistical methodologies. In this role, you would collect, analyze, and interpret data to provide insights for research, government agencies, or industries.

    5. Research Scientist: Real Analysis is often employed in various scientific research fields, including physics, chemistry, biology, and astronomy. As a research scientist, you would analyze experimental data, build mathematical models, develop theories, and contribute to research findings.

    6. Engineer: Real Analysis is utilized in several branches of engineering, such as civil, mechanical, electrical, and aerospace engineering. With these skills, you could work on complex engineering analyses, mathematical modeling, and simulation, contributing to the design and development of innovative solutions.

    These are just a few examples, and Real Analysis skills can prove beneficial in a wide range of positions where analytical thinking, problem-solving, and mathematical expertise are essential.‎

    Real Analysis is a branch of mathematics that deals with the rigorous study of real numbers and their properties. It is a fundamental subject in advanced mathematics and is typically studied by individuals who have a strong foundation in calculus and mathematical proofs.

    People who are best suited for studying Real Analysis are those who possess the following qualities:

    1. Strong mathematical background: Real Analysis requires a solid understanding of calculus, including concepts such as limits, continuity, and differentiation. Individuals who have successfully completed courses in calculus and have a good grasp of mathematical reasoning are well-suited for studying Real Analysis.

    2. Analytical thinking skills: Real Analysis involves abstract thinking and the ability to analyze complex mathematical concepts. Individuals who enjoy problem-solving, critical thinking, and logical reasoning are likely to excel in this subject.

    3. Persistence and dedication: Real Analysis can be a challenging subject that requires perseverance and dedication. It involves rigorous proofs and abstract concepts that may take time to fully comprehend. Individuals who are willing to put in the effort and persist through challenging problems are more likely to succeed in studying Real Analysis.

    4. Interest in theoretical mathematics: Real Analysis is a theoretical subject that focuses on the foundations of mathematics. Individuals who have a genuine interest in understanding the underlying principles and theories of mathematics are well-suited for studying Real Analysis.

    5. Future aspirations in mathematics or related fields: Real Analysis is a core subject in many advanced mathematics programs and is essential for pursuing further studies in areas such as pure mathematics, applied mathematics, physics, or engineering. Individuals who have a strong interest in these fields and plan to pursue a career or higher education in them will benefit greatly from studying Real Analysis.

    Overall, Real Analysis is best suited for individuals with a strong mathematical background, analytical thinking skills, persistence, dedication, an interest in theoretical mathematics, and future aspirations in mathematics or related fields.‎

    There are several topics that are related to Real Analysis that you can study. Some of them include:

    1. Limits and continuity
    2. Sequences and series
    3. Differentiation and integration
    4. Riemann integration
    5. Functions of several variables
    6. Metric spaces and topological spaces
    7. Convergence and completeness
    8. Differentiation in higher dimensions
    9. Implicit and inverse function theorems
    10. Measure and integration theory
    11. Lebesgue measure and integration
    12. Fourier series and Fourier transforms
    13. Function spaces and Banach spaces
    14. Hilbert spaces and spectral theory
    15. Differential equations and ordinary differential equations

    These topics cover a wide range of concepts and techniques in Real Analysis and provide a solid foundation for further study in mathematics or related fields.‎

    Online Real Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Real analysis is a branch of mathematics that focuses on the study of real numbers and their properties. It investigates the fundamental concepts of limits, continuity, sequences, series, and functions. Real analysis aims to provide a rigorous foundation for calculus and other areas of mathematics. It involves studying concepts like differentiation, integration, and the theory of measure and integration. Real analysis also extends into more advanced topics such as functional analysis and complex analysis. Overall, it is a key subject for those interested in deepening their understanding of mathematical analysis and building a strong mathematical background. skills. Choose from a wide range of Real Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Real 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
    • 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