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

    Data Analysis Excel Courses Online

    Master data analysis using Excel for business insights. Learn to manipulate, analyze, and visualize data with Excel functions and tools.

    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 Data Analysis Excel Course Catalog

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - 繁體中文

      Skills you'll gain: Google Workspace, Productivity Software, Generative AI, Gmail, Google Docs, Operational Efficiency, Prompt Engineering, Data Ethics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Data Ethics, Data Validation, Applied Machine Learning, Google Cloud Platform, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Create Image Captioning Models - Deutsch

      Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Tensorflow, Computer Vision

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Deutsch

      Skills you'll gain: Generative AI, Google Cloud Platform, Applied Machine Learning, SQL, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Query Languages, Customer Relationship Management

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - 日本語版

      Skills you'll gain: Data Ethics, Business Ethics, Artificial Intelligence, Governance, Regulatory Compliance, Compliance Management, Data Governance, Google Cloud Platform, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Geliştiriciler İçin Sorumlu Yapay Zeka: Gizlilik ve Güvenlik

      Skills you'll gain: Cloud Security, Generative AI, Information Privacy, Data Security, Information Systems Security, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Safety and Security, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Managing Google Workspace - Français

      Skills you'll gain: Google Workspace, Gmail, Cloud Management, Document Management, Data Management, Mobile Security, System Configuration, Identity and Access Management, Enterprise Application Management, Cloud Storage, Data Import/Export

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Bahasa Indonesia

      Skills you'll gain: Generative AI, Customer Relationship Management, Predictive Modeling, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), SQL, Google Cloud Platform, Jupyter, Big Data, Business Solutions

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Social Media Management

      Skills you'll gain:

      Intermediate · Course

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      E-commerce and Email Marketing

      Skills you'll gain:

      Intermediate · Course

    • Status: New
      New
      C

      Coursera

      Validate & Elevate: Usability Testing in Sketch

      Skills you'll gain: Usability Testing, Software Design Documents, User Experience Design, User Centered Design, UI/UX Research, Prototyping, Test Planning, Design Software

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals - 简体中文

      Skills you'll gain: Help Desk Support, Product Support, Technical Support, Technical Support and Services, Service Level, Cloud Services, Data Management, Cloud Solutions, Issue Tracking, Technical Communication

      Beginner · Course · 1 - 4 Weeks

    Data Analysis Excel learners also search

    Data Analysis
    Analysis
    R
    Data
    Beginner Data Analysis
    Beginner Data Analysis
    Data Analysis Projects
    Data Science
    1…815816817…832

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

    • Introduction to Gemini for Google Workspace - 繁體中文: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
    • Create Image Captioning Models - Deutsch: Google Cloud
    • Work with Gemini Models in BigQuery - Deutsch: Google Cloud
    • Responsible AI: Applying AI Principles with GC - 日本語版: Google Cloud
    • Geliştiriciler İçin Sorumlu Yapay Zeka: Gizlilik ve Güvenlik: Google Cloud
    • Managing Google Workspace - Français: Google Cloud
    • Work with Gemini Models in BigQuery - Bahasa Indonesia: Google Cloud
    • Social Media Management: SkillUp EdTech
    • E-commerce and Email Marketing : SkillUp EdTech

    Frequently Asked Questions about Data Analysis Excel

    Data Analysis Excel is a tool that allows users to perform various data analysis tasks using Microsoft Excel software. It provides a range of features and functions that enable the manipulation, visualization, and interpretation of data. With Data Analysis Excel, users can perform tasks such as data cleansing, filtering, sorting, and slicing. It also offers advanced statistical analysis tools, including regression, correlation, and hypothesis testing. This tool makes it easier for individuals and businesses to extract insights from their data and make data-driven decisions.‎

    To excel in Data Analysis using Excel, you need to learn several skills. Here are some essential skills for Data Analysis with Excel:

    1. Understanding Excel Functions: Familiarize yourself with important functions such as SUM, AVERAGE, COUNT, MAX, MIN, VLOOKUP, IF, INDEX, MATCH, and others. These functions will help you perform calculations and manipulate data efficiently.

    2. Data Cleaning and Formatting: Learn how to clean and format data by removing duplicates, fixing inconsistencies, handling missing values, and structuring data appropriately. This step is crucial to ensure accurate analysis.

    3. Pivot Tables and Charts: Master the usage of pivot tables and charts to summarize and analyze large sets of data. You should learn how to create, customize, and interpret pivot tables and charts to gain insights from your data effectively.

    4. Advanced Excel Formulas: Expand your Excel skills by learning advanced formulas like conditional formatting, array formulas, and logical functions (such as IF, AND, OR). These formulas will help you perform complex calculations and automate tasks.

    5. Data Visualization: Develop skills in creating visually appealing charts and graphs to present your data clearly and attractively. Learn to use various chart types, colors, and labels to communicate your analysis effectively.

    6. Statistical Analysis: Acquire a basic understanding of fundamental statistical concepts, such as mean, median, mode, standard deviation, and correlation. Excel provides useful tools for calculating statistics, so learning how to apply them will enhance your data analysis abilities.

    7. Macros and VBA: Although not mandatory, learning about macros and Visual Basic for Applications (VBA) can automate repetitive tasks and make your analysis more efficient. It allows you to customize Excel and write your own code for complex data manipulation.

    8. Data Analysis Tools: Explore and learn about Excel's built-in data analysis tools, such as Solver (for optimization problems), Goal Seek (for finding desired results), and Scenario Manager (for analyzing multiple scenarios). These tools will empower you to tackle more advanced analysis challenges.

    Remember, practice and hands-on experience are equally important. Regularly working with real datasets, attempting case studies, and solving problems using Excel will help you develop a strong foundation in data analysis using Excel.‎

    With data analysis Excel skills, you can pursue various job opportunities in the field of data analysis, such as:

    1. Data Analyst: As a data analyst, you will be responsible for collecting, analyzing, and interpreting data to uncover insights, trends, and patterns. Excel skills are crucial for data manipulation, cleansing, and visualization.

    2. Business Analyst: Excel skills are essential for business analysts who analyze data to help organizations make informed decisions. You will use Excel to create reports, perform quantitative analysis, and present findings to stakeholders.

    3. Financial Analyst: Financial analysts utilize Excel extensively for financial modeling, data manipulation, and analysis. With strong data analysis skills in Excel, you can analyze financial statements, assess company performance, and make financial forecasts.

    4. Market Research Analyst: Market research analysts use Excel to analyze survey data, conduct market analysis, and identify market trends. With Excel skills, you can effectively analyze large datasets, create charts, and generate insights to support marketing strategies.

    5. Operations Analyst: Excel is widely used by operations analysts to track and analyze operational data, optimize processes, and improve efficiency. You can use Excel for data collection, analysis, and reporting, helping organizations streamline their operations.

    6. Data Scientist: Data scientists combine statistical analysis, machine learning techniques, and programming skills to extract knowledge from large datasets. While Excel may not be the primary tool for data scientists, strong Excel skills are valuable for data manipulation and initial analysis.

    7. Project Manager: Project managers can benefit from Excel skills to track project performance, manage budgets, and analyze project data. You can utilize Excel for project planning, resource management, and optimization.

    These are just some examples of the numerous job opportunities available to individuals with data analysis Excel skills. The versatility of Excel in data manipulation, analysis, and visualization makes it a valuable skill across various industries.‎

    People who are detail-oriented, analytical, and have a strong interest in working with data are best suited for studying Data Analysis Excel. Additionally, individuals who are comfortable with numbers, have good problem-solving skills, and enjoy organizing and manipulating data will find this course beneficial.‎

    Here are some topics that you can study related to Data Analysis in Excel:

    1. Formulas and Functions: Learn various formulas and functions in Excel that are commonly used for data analysis such as SUMIFS, AVERAGEIFS, COUNTIFS, VLOOKUP, etc.

    2. PivotTables: Understand how to create PivotTables in Excel to analyze and summarize large data sets efficiently.

    3. Data Cleaning and Formatting: Learn techniques to clean and format data in Excel, including removing duplicates, handling missing values, and converting text to columns.

    4. Charts and Graphs: Explore different types of charts and graphs in Excel to visualize and present data effectively.

    5. Data Validation: Discover how to set up data validation rules in Excel to ensure data accuracy and consistency.

    6. Conditional Formatting: Learn how to apply conditional formatting in Excel to highlight important trends, patterns, or outliers in your data.

    7. Advanced Data Analysis Tools: Explore Excel's advanced features such as Solver, Goal Seek, and Scenario Manager to perform complex data analysis tasks.

    8. Power Query: Understand how to use Power Query, a powerful data transformation and integration tool within Excel, to clean, shape, and load data from various sources.

    9. Data Analysis using Excel Add-ins: Familiarize yourself with popular Excel add-ins like Analysis ToolPak, Power Pivot, and Power View that expand the capabilities of Excel for advanced data analysis.

    10. Statistical Analysis: Gain knowledge of basic statistical concepts and techniques, including regression analysis, correlation, t-tests, and hypothesis testing, to perform data analysis in Excel.

    Remember, these topics are just a starting point, and there are many more areas to explore within data analysis using Excel. It's always beneficial to continue learning and stay updated with new features and tools that Excel offers.‎

    Online Data Analysis Excel courses offer a convenient and flexible way to enhance your knowledge or learn new Data Analysis Excel is a tool that allows users to perform various data analysis tasks using Microsoft Excel software. It provides a range of features and functions that enable the manipulation, visualization, and interpretation of data. With Data Analysis Excel, users can perform tasks such as data cleansing, filtering, sorting, and slicing. It also offers advanced statistical analysis tools, including regression, correlation, and hypothesis testing. This tool makes it easier for individuals and businesses to extract insights from their data and make data-driven decisions. skills. Choose from a wide range of Data Analysis Excel courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Analysis Excel, 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