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Data analysis course for beginners: the 10 best in 2026

Quick answer

Data Analysis with Pandas and Python [2026] (opens in a new tab) is our top pick: 4.7 stars from more than 26,000 reviews, newly recorded in 2026 for Pandas 3, with 41 quizzes and dozens of datasets. It expects some spreadsheet and basic Python experience, so complete beginners should start with The Data Analyst Course: Complete Data Analyst Bootcamp (opens in a new tab), which begins with Python from scratch and has 369 quizzes. For a start with Excel, SQL and Python together, Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python (opens in a new tab) is the data analysis course for beginners to pick.

  1. 10th place: Data Analysis for Beginners

    Udemy All levels 4.6 h of content

    User rating: Rated 4.5 out of 5. (751 student ratings on Udemy)

    Kursus Finder rating: 7.0 out of 10

    Best for beginners who want only the job-ready essentials. In three sections it covers Excel lookups, pivot tables, charts and functions, building visualizations and automating cleaning with Power Query in Power BI, and writing SQL queries, with a quiz at the end of each section.

    It has 4.5 stars from 751 reviews and more than 2,600 students. It runs about four and a half hours with 15 quizzes and was last updated in December 2025.

    Pros

    • Excel, Power BI and SQL
    • 15 quizzes
    • About four and a half hours

    Cons

    • Only 751 reviews
    • Introductory depth
  2. 9th place: Data Analytics Masters 2026 - From Basics To Advanced

    Udemy All levels 68.4 h of content

    User rating: Rated 4.4 out of 5. (4,025 student ratings on Udemy)

    Kursus Finder rating: 7.1 out of 10

    Best for committed beginners who want every major tool in one long program. It covers generative AI tools, Python with Pandas, NumPy and Matplotlib, exploratory data analysis, statistics, SQL, Excel, Power BI and Tableau, and Microsoft Fabric with lakehouses and KQL.

    It has 4.4 stars from more than 4,000 reviews and more than 41,000 students. At about 68 hours with 11 quizzes it is the longest course here, which is why we lowered it slightly. It was updated in September 2026.

    Pros

    • Covers almost every analyst tool
    • Includes Microsoft Fabric
    • No prerequisites

    Cons

    • About 68 hours long
    • 4.4 stars, the lowest here
  3. 8th place: Copilot in Excel: Data Analysis for Beginners in 3 Hours

    Udemy All levels 3.2 h of content

    User rating: Rated 4.7 out of 5. (390 student ratings on Udemy)

    Kursus Finder rating: 7.2 out of 10

    Best for business users with Microsoft 365 Copilot who want results fast. It shows how to prepare data, create and explain formulas, build key metrics, summaries and charts, analyze data structure, classify free-text comments and clean messy files by asking questions in plain English, with five projects on sales, finance and HR data.

    It has 4.7 stars from 390 reviews and more than 2,000 students. It runs about three hours, the shortest course here, and was updated in September 2026.

    Pros

    • About three hours
    • No formulas needed
    • Five realistic projects

    Cons

    • Requires a Microsoft 365 plan with Copilot
    • Files must be saved to OneDrive
  4. 7th place: Microsoft Excel-Beginner to Advanced with Data Analysis & AI

    Udemy All levels 16.3 h of content

    User rating: Rated 4.5 out of 5. (541 student ratings on Udemy)

    Kursus Finder rating: 7.3 out of 10

    Best for beginners who want to become strong Excel analysts. It covers formulas, cell referencing, data cleaning and validation, lookups including XLOOKUP, sorting and conditional formatting, charts and dashboards, pivot tables and Power Pivot, Power Query, what-if analysis, macros and VBA, and Excel Copilot.

    It has 4.5 stars from 541 reviews and more than 2,600 students. It runs about 16 hours with 25 quizzes and 43 resources, and was updated in October 2026.

    Pros

    • Covers Excel from basics to automation
    • 25 quizzes
    • Includes Copilot

    Cons

    • Excel only
    • Only 541 reviews
  5. 6th place: Data Analysis | SQL,Tableau,Power BI & Excel | Real Projects

    Udemy All levels 14.7 h of content

    User rating: Rated 4.6 out of 5. (7,062 student ratings on Udemy)

    Kursus Finder rating: 7.8 out of 10

    Best for beginners who want to try the main analyst tools side by side. It covers SQL fundamentals, Tableau, Power BI, Excel for analysis, using ChatGPT as a data analyst and statistics for data analysis, with hands-on projects for a portfolio.

    It has 4.6 stars from more than 7,000 reviews and more than 42,000 students. It runs about 15 hours with nine quizzes and 51 resources, and was updated in July 2026. Power BI needs a Windows computer.

    Pros

    • Four tools in one course
    • Includes statistics and ChatGPT
    • Portfolio projects

    Cons

    • Power BI requires Windows
    • Less depth per tool
  6. 5th place: SQL for Data Analysis: Beginner MySQL Business Intelligence

    Udemy All levels 4.5 h of content

    User rating: Rated 4.7 out of 5. (10,739 student ratings on Udemy)

    Kursus Finder rating: 8.1 out of 10

    Best for beginners who want to query databases quickly. Maven Analytics makes you the new owner of a DVD rental shop and teaches SQL in MySQL Workbench, from database fundamentals and single-table queries to joins across multiple tables, with a mid-course and a final project.

    It has 4.7 stars from more than 10,700 reviews and more than 60,000 students. It runs about four and a half hours with four quizzes and was updated in June 2026.

    Pros

    • About four and a half hours
    • Fun, realistic case study
    • Two projects

    Cons

    • SQL only
    • Does not cover building databases
  7. 4th place: Python for Data Analysis & Business Intelligence

    Udemy All levels 11.3 h of content

    User rating: Rated 4.7 out of 5. (2,402 student ratings on Udemy)

    Kursus Finder rating: 8.4 out of 10

    Best for beginners who want to learn Python for analysis through a project. Maven Analytics casts you as an intern at a ski shop and covers Jupyter Notebooks, data types, variables, numbers and strings, conditional logic, lists and tuples, loops, dictionaries and sets, functions, and manipulating Excel sheets with Python.

    It has 4.7 stars from more than 2,400 reviews and more than 15,000 students. It runs about 11 hours with 48 quizzes and was updated in October 2026.

    Pros

    • No programming experience needed
    • 48 quizzes
    • Realistic business project

    Cons

    • Python fundamentals rather than full analysis libraries
    • Fewer reviews than the top courses
  8. 3rd place: Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python

    Udemy All levels 24 h of content

    User rating: Rated 4.6 out of 5. (8,091 student ratings on Udemy)

    Kursus Finder rating: 8.5 out of 10

    Best for beginners who want Excel, SQL and Python in one course. Abhishek and Pukhraj cover Excel lookups, sorting, filtering and charts, Copilot in Excel, Power Query, Power Pivot and DAX, SQL with GROUP BY, joins and subqueries, and linear regression to solve business problems.

    It has 4.6 stars from more than 8,000 reviews and more than 86,000 students. It runs about 24 hours with 81 quizzes and 204 resources, and was updated in September 2026.

    Pros

    • Three core tools in one course
    • 81 quizzes
    • 204 resources
    • Updated in September 2026

    Cons

    • About 24 hours long
    • Needs Excel installed
  9. 2nd place: The Data Analyst Course: Complete Data Analyst Bootcamp

    Udemy All levels 21.2 h of content

    User rating: Rated 4.5 out of 5. (25,144 student ratings on Udemy)

    Kursus Finder rating: 8.7 out of 10

    Best for complete beginners who want a structured path to a data analyst job. It covers data analytics theory, basic and advanced Python, NumPy, Pandas, text files, data collection, cleaning, preprocessing and visualization, ending with a final practical example, with a strong focus on working with raw, messy data.

    It has 4.5 stars from more than 25,000 reviews and more than 178,000 students. It runs about 21 hours with 369 quizzes, by far the most on this list, and 154 resources, and was updated in August 2026.

    Pros

    • 369 quizzes
    • Starts from the very basics
    • Focus on cleaning real data
    • 154 resources

    Cons

    • Python only, no SQL or BI tools
    • 4.5 stars
  10. 1st place

    1st place: Data Analysis with Pandas and Python [2026]

    Udemy All levels 17.7 h of content

    User rating: Rated 4.7 out of 5. (26,776 student ratings on Udemy)

    Kursus Finder rating: 8.9 out of 10

    Best for spreadsheet users with basic Python who want to analyze data at scale. Newly recorded for Pandas 3, it covers installing, sorting, filtering, grouping, aggregating, de-duplicating, pivoting, cleaning, merging and visualizing data, with dozens of datasets to follow along.

    It has 4.7 stars from more than 26,000 reviews and more than 229,000 students. It runs about 18 hours with 41 quizzes and was updated in October 2026.

    Pros

    • Newly recorded for Pandas 3
    • 41 quizzes
    • Dozens of datasets included
    • 4.7 stars

    Cons

    • Expects basic Python and spreadsheet skills
    • Focused on one library

Why learn Data Analysis?

Data analysis is collecting, cleaning, exploring and visualizing data to answer business questions. Beginners usually start with Excel, then add SQL for databases, a BI tool such as Power BI or Tableau for dashboards, and Python with Pandas for larger or repeatable analysis.

It suits career changers aiming for a data analyst job, business professionals who report on numbers, and students curious about data careers. Most courses here start from zero; the Pandas course expects some spreadsheet and basic Python experience.

A focused course takes three to five hours, a solid single-tool course 10 to 20 hours, and multi-tool bootcamps 20 hours or more. Pick a data analysis course for beginners that matches the tools used in the jobs you want.

How to choose the best Data Analysis course for you

What to look at before you enroll in a course.

  1. Pick your first tool

    Excel is the gentlest start, SQL is essential for working with databases, and Python with Pandas handles larger data. Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python (opens in a new tab) covers Excel, SQL and Python together. This is the first decision in any data analysis course for beginners.

  2. Check the real prerequisites

    Data Analysis with Pandas and Python [2026] (opens in a new tab) expects basic Python and spreadsheet skills, and Copilot in Excel needs a Microsoft 365 subscription with Copilot. Most other courses start from zero.

  3. Look for realistic business projects

    Maven Analytics courses use case studies like a ski shop and a DVD rental store, and Copilot in Excel includes five projects on sales, finance and HR data.

  4. Use quizzes to check your progress

    The Data Analyst Course: Complete Data Analyst Bootcamp (opens in a new tab) has 369 quizzes and Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python (opens in a new tab) 81, while some short courses have few or none.

  5. Include a dashboard tool

    Employers expect visualization. Data Analysis | SQL, Tableau, Power BI & Excel and Data Analysis for Beginners (opens in a new tab) both include Power BI.

Frequently asked questions

What is the best data analysis course for complete beginners?

The Data Analyst Course: Complete Data Analyst Bootcamp (opens in a new tab) starts from the very basics, with 369 quizzes. If you already know some Python, Data Analysis with Pandas and Python [2026] (opens in a new tab) is the top-rated choice.

Should I learn Excel, SQL or Python first?

Many beginners start with Excel, then SQL, then Python. Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python (opens in a new tab) teaches all three in order.

Can I learn data analysis without coding?

Yes, to start. Copilot in Excel lets you analyze data by typing questions in plain English, and Microsoft Excel-Beginner to Advanced with Data Analysis & AI (opens in a new tab) covers pivot tables, Power Query and dashboards.

How long does it take to learn data analysis?

Short courses here take three to five hours, single-tool courses 10 to 24 hours, and Data Analytics Masters 2026 - From Basics To Advanced (opens in a new tab) about 68 hours.

Which course covers Power BI and Tableau?

Data Analysis | SQL, Tableau, Power BI & Excel covers both tools, plus SQL, Excel, ChatGPT and statistics, and Data Analytics Masters 2026 - From Basics To Advanced (opens in a new tab) also includes Power BI and Tableau.

Which data analysis course is shortest?

Copilot in Excel: Data Analysis for Beginners in 3 Hours (opens in a new tab) takes about three hours, and SQL for Data Analysis and Data Analysis for Beginners (opens in a new tab) each take about four and a half hours.

Do I need maths for a data analysis course for beginners?

Only basic maths to start. Courses like Data Analysis | SQL, Tableau, Power BI & Excel introduce the statistics you need along the way.

Conclusion

The best data analysis course for beginners with no experience is The Data Analyst Course: Complete Data Analyst Bootcamp (opens in a new tab) or Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python (opens in a new tab) for Excel, SQL and Python together. If you already know basic Python, Data Analysis with Pandas and Python [2026] (opens in a new tab) is the strongest course here, and Python for Data Analysis & Business Intelligence (opens in a new tab) is a great project-based Python start.

If you want quick wins, SQL for Data Analysis and Data Analysis for Beginners (opens in a new tab) take under five hours, and Copilot in Excel shows how to analyze data with AI. For dashboards, add Data Analysis | SQL, Tableau, Power BI & Excel.

Whichever data analysis course for beginners you choose, analyze a dataset you care about, such as your own spending or a public dataset, and present one clear insight. Explaining what the data means is the core skill employers look for.

This list’s podium

  1. 1st place Data Analysis with Pandas and Python [2026] Kursus Finder rating: 8.9/10
  2. 2nd place The Data Analyst Course: Complete Data Analyst Bootcamp Kursus Finder rating: 8.7/10
  3. 3rd place Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python Kursus Finder rating: 8.5/10

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