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407 Best + Free Data Analysis Courses & Certificates [2026]

407 courses compared 95 over 10 hours long Updated October 19, 2026

Ranked by Michael Kuhlman, CourseDuck's founder, from student reviews across every provider. How we rank

Our guide: The 10 Best Data Analysis Courses on Udemy in 2026

Our top picks

  • Microsoft Power BI Desktop for Business Intelligence [Udemy]
  • Microsoft Excel: Advanced Excel Formulas & Functions [Udemy]
  • Microsoft Excel: Data Analysis with Excel Pivot Tables [Udemy]
  • Microsoft Power BI - The Practical Guide [Udemy]
  • Data Science, Machine Learning, Data Analysis, Python & R [Udemy]
  • SQL - MySQL for Data Analytics and Business Intelligence [Udemy]
  • SQL for Beginners: Learn SQL using MySQL and Database Design [Udemy]
  • R Programming A-Z™: R For Data Science With Real Exercises! [Udemy]
  • Statistics for Data Science and Business Analysis [Udemy]
  • Complete A.I. & Machine Learning, Data Science Bootcamp [Udemy]

About the best Data Analysis courses

CourseDuck compares the 407 Data Analysis courses listed here from 9 providers, 18 of them free, and ranks them from the 2.1 million ratings and reviews their students have left, with the price, length and level of each one side by side. No course pays to be listed or ranked. As featured on Harvard EDU, Stackify and Inc. How we rank

Frequently asked questions

The most-reviewed course in this category is Microsoft Power BI Desktop for Business Intelligence by Maven Analytics, with about 196,700 reviews at 4.6 as of October 2026.

Data analysis is the work of collecting, cleaning and examining data to find patterns and answer questions, then presenting the findings in reports or visuals. It is used in business, science and many other fields. Courses here cover Power BI, Tableau, Python and Pandas, Snowflake and data storytelling.

Average
$50,254 a year
Middle half earn
$35,500 to $66,000 25th to 75th percentile
Full range
$28,500 to $72,500

Share of US job postings in each pay band; the dark bar holds the average, the striped bars the 25th and 75th percentiles. Source: ZipRecruiter salary data collected in 2020-21, when this FAQ was first written; pay has moved since, so treat it as a rough guide.

Paid Udemy video courses include a certificate of completion when you finish; free courses and practice-test-only courses do not. It shows you did the work, but it is not an accredited qualification. Coursera and edX usually charge for a certificate, issued with the university or company that made the course.

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407 Filtered Courses
Microsoft Power BI Desktop for Business Intelligence
provider

1

Microsoft Power BI Desktop for Business Intelligence (2026)

4.6
(196,667 reviews)
byMaven Analytics

A project-based Power BI Desktop course from Maven Analytics that walks Excel users through Power Query, data modeling, DAX and dashboard design, refreshed in September 2026.

Best for: Excel users and aspiring analysts who want to build one full BI project from raw data to finished dashboard.

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Pros
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Cons
    • One continuous AdventureWorks project runs through prep, modeling, DAX and reports, plus a bonus Maven Market project
    • Updated September 2026 with a dedicated section on new Power BI features and a short AI tools section
    • Reviewers say explanations are clear and the pro tips transfer straight into daily work
    • Assignments help the logic stick, according to one four-star review
    • The DAX section runs nearly four hours and two reviewers say it is hard to follow, one calling the jargon mind numbing
    • No face cam or on-screen pointer, and one reviewer reports audio glitches throughout
    • Windows only; one reviewer calls it outdated and another could not reproduce exercises on a newer Power BI build
$139.99 Certificate Length: 17h
Microsoft Excel: Advanced Excel Formulas & Functions
provider

2

Microsoft Excel: Advanced Excel Formulas & Functions (2026)

4.6
(120,271 reviews)
byMaven Analytics

Chris Dutton's formulas-only Excel course, 112 lectures over 9.4 hours on lookups, dynamic arrays, text and date functions, taught through hands-on demos and homework files.

Best for: Excel users who know basic formulas and want to build lookups, dynamic arrays and formula-driven tools with homework to practise on.

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Pros
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Cons
    • Refreshed in June 2026, with XLOOKUP coverage and a 24-lecture section on dynamic array formulas
    • Homework files and project downloads that reviewers say make the material stick
    • Clear, concise explanations; students who came for a refresher say they learned new things
    • Teaches why and when to use a formula, not just the syntax, with practical demo datasets
    • No pivot tables or VBA; this is formulas only, so it is not a full Excel course
    • A beginner reports it took 20 to 25 hours with practice, not the 9.4 hours listed
    • Some homework, notably OFFSET and COUNTA, goes beyond what the videos explain
$199.99 Certificate Length: 9.4h
Microsoft Excel: Data Analysis with Excel Pivot Tables
provider

3

Microsoft Excel: Data Analysis with Excel Pivot Tables (2026)

4.7
(78,818 reviews)
byMaven Analytics

Maven Analytics' single-topic pivot table course: 7 hours of screen-recorded Excel demos, section homework and ten real-data case studies, refreshed in 2026.

Best for: Regular Excel users who have never built a pivot table and want to summarise real data fast.

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Pros
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Cons
    • Screen-recorded in Excel, not slides, so you can pause and copy each step
    • Homework after each section plus ten case studies on real datasets like shark attacks and wine
    • Covers calculated fields, slicers, timelines and pivot charts, not just the basics
    • 4.7 stars from nearly 79,000 reviews, content updated June 2026
    • Case-study section runs about two and a half hours and repeats the same techniques
    • Sample datasets are showing their age, as one reviewer notes
    • Built on Windows Excel; Mac users get a different pivot interface
$199.99 Certificate Length: 6.8h
Microsoft Power BI - The Practical Guide
provider

4

Microsoft Power BI - The Practical Guide (2026)

4.6
(76,334 reviews)
byManuel Lorenz

A 17-hour, click-by-click tour of Power BI Desktop and Power BI Pro from Academind, with a separate two-hour crash course path for people in a hurry.

Best for: Business users who have never opened Power BI and want every menu shown, from Power Query cleanup to publishing in Pro.

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Pros
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Cons
    • Short lectures on one topic each, which reviewers call detailed and easy to follow step by step
    • Covers Power BI Pro sharing, workspaces and mobile, not just Desktop
    • Optional two-hour crash course section for a fast start or a quick refresher
    • Refreshed in January 2026, with 4.6 stars from more than 76,000 reviews
    • Spends a lot of time on self-explanatory clicks, which a two-star reviewer found tedious
    • One reviewer found the Power BI Pro section behind the current interface and hard to follow
    • Needs Windows for most of it and a work or school email address for several modules
$149.99 Certificate Length: 17.6h
Data Science, Machine Learning, Data Analysis, Python & R
provider

5

Data Science, Machine Learning, Data Analysis, Python & R (2020)

4.1
(3,448 reviews)
byDATAhill Solutions Srinivas Reddy

A free, eight hour survey of data science basics in both Python and R, useful as a first look at the field but held back by repeated lectures and missing audio.

Best for: Complete beginners who want a free, no-commitment first look at data science terms, pandas, matplotlib and R.

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Pros
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Cons
    • Free, and covers both Python and R so beginners can see the two languages side by side
    • Beginners say the explanations are simple and well paced for a first exposure to the field
    • Around 8 hours of video, 145,000 students and a 4.1 average from 3,448 ratings
    • Includes a plain-language breakdown of AI versus machine learning versus deep learning
    • Several lectures are duplicates under different names; one unit is simply an earlier one repeated
    • Audio drops out for long stretches, including a silent gap in the pandas lesson, and a CSV file is missing
    • Not updated since January 2020, no captions, and the accent is hard for non-native English listeners
Free Certificate Length: 8.1h
SQL - MySQL for Data Analytics and Business Intelligence
provider

6

SQL - MySQL for Data Analytics and Business Intelligence (2026)

4.5
(65,586 reviews)
by365 Careers

A 12-hour MySQL course from 365 Careers that teaches SQL through business questions on a real employees database, with 157 quizzes and 123 coding exercises along the way.

Best for: Aspiring data analysts and BI people who want SQL practice tied to business questions, not database administration.

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Pros
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Cons
    • 157 quizzes and 123 coding exercises spread across 12 hours, so almost every topic gets practiced right away
    • Built around one realistic employees database, so joins and subqueries feel like actual analyst work
    • Concise explanations with little filler, according to several 4 and 5 star reviews
    • Updated September 2026 and still actively maintained nine years after launch
    • Later sections get much harder to follow, and one reviewer says the tutor rushes through the end
    • Audio freezes and cut-outs reported in some lectures, plus one dead database download link
    • Delivery is scripted and impersonal, and Q&A replies can take over a week
$159.99 Certificate Length: 12.1h
SQL for Beginners: Learn SQL using MySQL and Database Design
provider

7

SQL for Beginners: Learn SQL using MySQL and Database Design (2025)

4.5
(64,057 reviews)
byTim Buchalka's Learn Programming Academy

A design-focused SQL introduction from Tim Buchalka's academy that teaches MySQL through a build-along cinema booking database and a proper section on normalization.

Best for: Complete beginners who want to understand database design and normalization, not just write SELECT queries.

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Pros
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Cons
    • Cinema booking system project ties design, normalization and queries together in one build
    • Reviewers say explanations go into enough depth while staying clear for total beginners
    • Students type every query themselves, which one reviewer singles out as what makes the lessons stick
    • Refreshed in April 2025, with 127 lectures across 14 sections and captions in 27 languages
    • Subqueries get only 28 minutes; one reviewer wanted more and pointed to CS50 for extra coverage
    • Narration sometimes reads aloud what is already on the slide, per a four-star review
    • No quizzes or in-browser coding exercises; practice comes only from the challenge videos
$99.99 Certificate Length: 8.4h
R Programming A-Z: R For Data Science With Real Exercises!
provider

8

R Programming A-Z: R For Data Science With Real Exercises! (2025)

4.6
(57,120 reviews)
byKirill Eremenko

A slow, step-by-step R starter that takes true beginners from RStudio basics through matrices, data frames and ggplot2 charts in about 10 hours, with homework throughout.

Best for: Complete beginners who want R explained slowly, with homework after each new idea.

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Pros
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Cons
    • Slow, step-by-step build-up that reviewers say never overwhelms a new learner
    • Works for people with no coding background, including first-time programmers
    • A 16-lecture ggplot2 section teaches chart building after the basics are in place
    • Homework comes with seven solution videos, so stuck learners can check their work
    • Some homework data sets are reported missing or corrupted, which blocks later exercises
    • Last updated July 2025, and reviewers say some functions have changed since recording
    • Early programming sections and if/else statements lost a few beginners; experienced coders may find it slow
$119.99 Certificate Length: 10.6h
Statistics for Data Science and Business Analysis
provider

9

Statistics for Data Science and Business Analysis (2024)

4.5
(50,256 reviews)
by365 Careers

A short, visual statistics primer with Excel templates that runs from descriptive stats to hypothesis testing and regression in under five hours.

Best for: Beginners heading into analyst roles who want a fast, visual tour of statistics with no math background.

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Pros
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Cons
    • Visual explanations with graphics that reviewers find clear and enjoyable
    • Short videos and about 4.9 hours total, so it is easy to finish
    • Covers descriptive stats through regression with dummy variables
    • No experience required, and Excel templates and course notes are included
    • Fast pace, and some formulas and calculations are not fully explained
    • Math is thin, for example no derivation behind SST=SSR+SSE
    • Quizzes after short videos break the flow, and some lack context
$109.99 Certificate Length: 4.9h
Complete A.I. & Machine Learning, Data Science Bootcamp
provider

10

Complete A.I. & Machine Learning, Data Science Bootcamp (2026)

4.7
(30,982 reviews)
byAndrei Neagoie

Andrei Neagoie and Daniel Bourke's 44 hour ramp from Python basics to TensorFlow 2, built around two milestone projects and holding a 4.7 rating from about 31,000 students.

Best for: Complete beginners, no math or coding required, who want one long guided path to a first deep learning project.

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Pros
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Cons
    • Two milestone projects, a classification task and a time series model, with all notebooks provided on GitHub
    • Two separate Python sections so non-programmers can start from zero and coders can skip straight to pandas
    • Refreshed in February 2026, with 384 lectures and 61 articles spread across 20 sections
    • Reviewers call the teaching engaging and fun to watch, with a new-hire framing that keeps lessons focused
    • Unsupervised learning is in the blurb, but one low-star reviewer says it is missing and the course feels incomplete
    • Only two quizzes and one coding exercise across 44 hours, so practice is mostly watch and retype
    • Informal chatter and lightly explained concepts frustrate reviewers who wanted more depth
$129.99 Certificate Length: 44h
The Data Science Course: Complete Data Science Bootcamp 2026
provider

11

The Data Science Course: Complete Data Science Bootcamp 2026

4.5
(162,187 reviews)
by365 Careers

A 32-hour, theory-first path from probability and statistics through Python to regression, clustering and TensorFlow, aimed squarely at people starting from zero.

Best for: Beginners who want the math and statistics explained before touching a machine learning library.

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Pros
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Cons
    • Probability and statistics get about seven hours of real teaching before any Python appears
    • 274 quizzes and 130 coding exercises; reviewers say the quizzes make the material stick
    • Pace is praised as neither too fast nor too slow for absolute beginners
    • Updated September 2026; an earlier CourseDuck review found Q&A responses fast and reliable
    • Long and theory-heavy up front; several low-star reviews lost interest before the practical parts
    • One reviewer says the coding exercises are strict about exact answers and don't match the video examples
    • Machine learning sections lean on running code without the math depth the statistics sections had
$139.99 Certificate Length: 32.4h

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