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

    Analysis Courses Online

    Explore analysis techniques for interpreting data and solving problems. Learn statistical, financial, and qualitative analysis methods.

    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 Analysis Course Catalog

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT Advanced Data Analysis

      Skills you'll gain: Prompt Engineering, Data Presentation, ChatGPT, Document Management, Artificial Intelligence, Microsoft Excel, Problem Solving, Data Analysis, Generative AI, Information Management, File Management, Creativity, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      780 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to Business Analysis Using Spreadsheets: Basics

      Skills you'll gain: Google Sheets, Spreadsheet Software, Data Presentation, Statistical Visualization, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Excel Formulas, Data Cleansing, Mathematical Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      999 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • S

      Starweaver

      Fundamentals of Business Analysis

      Skills you'll gain: Business Analysis, Scope Management, Business Requirements, Stakeholder Management, Change Management, Systems Analysis, Business Process, Process Analysis, Quality Management, Project Management, Solution Delivery, Needs Assessment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      81 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Preparing Data for Analysis with Microsoft Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Power BI, Data Analysis, Productivity Software, Data Cleansing, Data Manipulation, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Perform exploratory data analysis on retail data with Python

      Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Matplotlib, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • S

      S.P. Jain Institute of Management and Research

      Data Analysis

      Skills you'll gain: Data Analysis, Quantitative Research, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Business Analytics, Regression Analysis, Business Mathematics, Data-Driven Decision-Making, Statistical Analysis, Probability Distribution, Microsoft Excel, Statistical Inference, Probability, Variance Analysis, Estimation

      Build toward a degree

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tableau Learning Partner

      Data Analysis with Tableau

      Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Histogram, Data Manipulation, Regression Analysis, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    Analysis learners also search

    Data Analysis
    R
    Beginner Data Analysis
    Beginner Data Analysis
    Data Analysis Projects
    Data
    R Programming
    R for Data Analysis
    1234…534

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

    • ChatGPT Advanced Data Analysis: Vanderbilt University
    • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
    • Fundamentals of Business Analysis : Starweaver
    • Foundations: Data, Data, Everywhere: Google
    • Data Analysis with R: IBM
    • Introduction to Statistics: Stanford University
    • Preparing Data for Analysis with Microsoft Excel: Microsoft
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Perform exploratory data analysis on retail data with Python: Coursera Project Network
    • Data Analysis: S.P. Jain Institute of Management and Research

    Frequently Asked Questions about Analysis

    Analysis is the process of examining and evaluating information or data to gain a deeper understanding of it. It involves breaking down complex concepts or problems into their fundamental parts, studying and interpreting those parts, and drawing meaningful conclusions or making informed decisions based on the findings. Analysis can be applied to various fields, such as business, science, economics, and technology, and it plays a crucial role in problem-solving, decision-making, research, and learning.‎

    To pursue a career in Analysis, here are some of the skills you need to learn:

    1. Data Analysis: Understanding how to analyze and interpret data is crucial for any analyst. This includes the ability to collect, organize, and extract insights from large datasets using tools like Python, R, or Excel.

    2. Statistical Analysis: Proficiency in statistical concepts and techniques enables you to make data-driven decisions. Learning about probability, hypothesis testing, regression analysis, and other statistical models will be beneficial.

    3. Critical Thinking: Developing strong critical thinking skills allows you to approach problems logically, evaluate evidence, and come up with effective solutions. This skill is essential in analyzing complex data sets and identifying patterns or trends.

    4. Visualization: Being able to present data in a clear and visually appealing manner helps facilitate understanding and communicate insights effectively. Learning data visualization tools like Tableau or Power BI will enable you to create informative charts, graphs, and dashboards.

    5. Domain Knowledge: Depending on the industry or field you want to specialize in, having domain knowledge enhances your ability to analyze data effectively. Acquiring knowledge specific to the domains you wish to work in, such as finance, marketing, healthcare, or e-commerce, will provide valuable context for analysis.

    6. Problem-Solving: The ability to approach problems systematically and devise innovative solutions is crucial for an analyst. Developing problem-solving skills will enable you to identify patterns, detect anomalies, and propose practical recommendations based on the analysis.

    7. Communication: Strong communication skills are vital for presenting findings, collaborating with team members, and explaining complex analysis to non-technical stakeholders. Improving your written and verbal communication skills will enhance your effectiveness as an analyst.

    Remember, the field of analysis is diverse and constantly evolving, so being adaptable, continuously upskilling, and staying updated with the latest tools and techniques are also important factors for success.‎

    With analysis skills, you can pursue a wide range of job opportunities across various industries. Some common job roles that require strong analysis skills include:

    1. Data Analyst: This role involves collecting, interpreting, and analyzing large sets of data to uncover insights and help organizations make informed business decisions.

    2. Business Analyst: Business analysts are responsible for assessing business processes, identifying potential issues, and proposing improvements to enhance efficiency and profitability.

    3. Financial Analyst: Financial analysts evaluate investment opportunities, conduct financial research, and provide insights and recommendations to assist in decision-making for investment firms or corporate finance departments.

    4. Market Research Analyst: Market research analysts gather and analyze data about market trends, competitors, and consumer preferences to help businesses make informed decisions about their products and services.

    5. Operations Analyst: Operations analysts focus on improving operational efficiency by conducting data analysis, identifying bottlenecks, and suggesting process improvements.

    6. Business Intelligence Analyst: Business intelligence analysts work with data to extract meaningful insights, develop reports and dashboards, and provide strategic recommendations to enhance business performance.

    7. Management Consultant: Management consultants use analytical skills to evaluate organizations, identify problems, develop strategies, and provide recommendations for improvement across various industries.

    8. Risk Analyst: Risk analysts assess potential risks and develop strategies to mitigate them for financial institutions, insurance companies, or organizations operating in risk-prone sectors.

    9. Marketing Analyst: Marketing analysts use data analysis techniques to understand consumer behavior, identify customer segments, measure campaign effectiveness, and optimize marketing strategies.

    10. Healthcare Data Analyst: Healthcare data analysts assess healthcare data, identify patterns, and provide insights to improve patient care, optimize operational efficiency, and make informed decisions in the healthcare industry.

    Remember, analysis skills are highly versatile, and these job roles are just a few examples of the potential career paths available with strong analysis skills.‎

    People who are logical, detail-oriented, and enjoy problem-solving are best suited for studying Analysis. This field requires individuals who can think critically, analyze data, and draw meaningful conclusions. Strong mathematical and analytical skills are also essential for success in this area of study. Additionally, individuals who have a natural curiosity and a passion for understanding complex systems will thrive in the field of Analysis.‎

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

    1. Data Analysis: This involves studying techniques and methods to analyze and interpret data to make informed decisions or derive meaningful insights.

    2. Financial Analysis: This focuses on studying financial statements and using various analytical tools to evaluate the financial health and performance of companies or investments.

    3. Business Analysis: This field involves analyzing business processes, identifying areas for improvement, and developing strategies to enhance efficiency and profitability.

    4. Statistical Analysis: Statistical analysis involves the study of statistical methods and techniques to analyze data, test hypotheses, and make predictions.

    5. SWOT Analysis: This is a strategic planning technique that involves analyzing an organization's Strengths, Weaknesses, Opportunities, and Threats, to make informed business decisions.

    6. Risk Analysis: This field involves studying techniques to identify, assess, and mitigate potential risks or uncertainties in various domains such as finance, engineering, or project management.

    7. Cost-Benefit Analysis: This involves analyzing the costs and benefits of a particular course of action or investment to determine its viability and potential returns.

    8. Market Analysis: Market analysis focuses on studying market trends, customer preferences, competition, and other factors to make informed business decisions and develop effective marketing strategies.

    These are just a few examples, as analysis is a broad field with numerous sub-specializations.‎

    Online Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Analysis is the process of examining and evaluating information or data to gain a deeper understanding of it. It involves breaking down complex concepts or problems into their fundamental parts, studying and interpreting those parts, and drawing meaningful conclusions or making informed decisions based on the findings. Analysis can be applied to various fields, such as business, science, economics, and technology, and it plays a crucial role in problem-solving, decision-making, research, and learning. skills. Choose from a wide range of Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in 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