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This list is for anyone who wants to turn data into answers: people who live in spreadsheets, aspiring data analysts, and anyone asked to build dashboards in Power BI or Tableau. Our data analysis category alone lists 394 courses. These ten are the ones we would buy for each step, from pivot tables and SQL to Power BI, Tableau, Python and presenting what you found. They have over 600,000 student reviews between them, every one is rated 4.4 or higher, and nine of them were updated in 2026.
Every rating, review count, length and last-update date on this page comes from our catalogue and is refreshed with it. The pros and cons are written by CourseDuck’s editors from the course syllabus and a sample of the written student reviews, and checked against both; no course pays to be on this list. Udemy prices move with its sales, so treat the price on each card as the current one, not a fixed one. Power BI Desktop and Tableau Public are free to download; the PL-300 exam fee is paid to Microsoft and is not part of any course price.
How to pick
- You work in Excel and want more from it: Data Analysis with Excel Pivot Tables.
- You need to pull data from a database: SQL - MySQL for Data Analytics and Business Intelligence.
- Your company uses Power BI: Microsoft Power BI Desktop for Business Intelligence, or 15 days of Power BI if you want a daily plan.
- You want the PL-300 certification: Phillip Burton’s PL-300 certification prep.
- Your company uses Tableau: Tableau A-Z, or Jed Guinto’s 2026 Tableau Certification Training for the much longer, Desktop-focused version.
- You want to analyze data in code: The Data Analyst Course if you are new to Python, or Data Analysis with Pandas and Python if you know a little.
- You present numbers to people: How to tell a story with data.
Start here: spreadsheets and SQL
1. Microsoft Excel: Data Analysis with Excel Pivot Tables
If your analysis starts in a spreadsheet, start here. Chris Dutton of Maven Analytics spends about 6.8 hours over 90 lectures on one Excel feature, pivot tables and pivot charts: sorting, filtering, grouping, calculated fields, slicers, timelines and simple dashboards, then ten case studies on real datasets from shark attacks to wine ratings. It assumes you are already comfortable with basic Excel. It was updated in June 2026 and has about 78,800 reviews at 4.7. Reviewers like that it is recorded in Excel itself, so they can pause and copy each step. The case-study section repeats the same techniques, and Mac users get a different pivot interface.
Pros
- 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
Cons
- 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
What students say
Andrew HigginsI used this course to help me with my day job, i was asked to use pivot tables to show how much training was completed and where we were in terms of training as a company, using this course i was able to do that.
Blake Morales CruzThe subject matter is little dry but that has nothing to do with the teacher! I'm very grateful for the easy to understand teaching style and how he explains everything in plain English without sounding patronizing.
Reviews from students, via this course's page on CourseDuck.
2. SQL - MySQL for Data Analytics and Business Intelligence
SQL is how analysts pull data out of a database, and 365 Careers teaches it through business questions on one employees database: about 12.1 hours over 334 lectures, with 157 quizzes plus coding exercises, from database basics to joins, subqueries, views and stored routines. It starts from zero. It was updated in September 2026 and has about 65,600 reviews at 4.5. Reviewers like the concise explanations and the practice after each topic. Several found the later sections much harder to follow, and the delivery is scripted and impersonal.
Pros
- 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
Cons
- 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
What students say
Kshitij PundkarThis course teaches me , more than what i excepted . the contents of this course helps me in getting prepare for my class exam and and hope it will help in my placement preparation . I just loved this course . Im so grateful that i purchased this course
Daniel VinesThe course was excellent, and the coding exercises were highly effective in reinforcing the material covered. Although I had prior experience writing basic to intermediate SQL scripts, I still gained substantial new knowledge throughout the course.
Reviews from students, via this course's page on CourseDuck.
Power BI
3. Microsoft Power BI Desktop for Business Intelligence
Power BI is Microsoft’s reporting tool, and this Maven Analytics course is the most-reviewed course in our data analysis category: about 196,700 reviews at 4.6 and roughly 806,000 students. It is one long project. As a BI analyst at a fictional bike maker, you take raw data through Power Query, a star-schema data model, DAX measures and finished dashboards, in about 17 hours over 200 lectures, with a bonus project at the end. It was updated in September 2026 and has a section on new Power BI features. Reviewers call the explanations clear, but two say the nearly four-hour DAX section is where beginners get lost. Power BI Desktop is Windows only.
Pros
- 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
Cons
- 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
What students say
Hamza AnwarOutstanding course! The lessons are clear, practical, and easy to follow. I gained valuable hands-on experience with Power Query, DAX, data modeling, and dashboard creation. This course has significantly improved my Power BI skills and confidence in building professional reports. Highly recommended.
Marvin BattleyThis course was really amazing! The information was presented in a clear, organized way, the project was fun, and the content covered much more than I expected. I learned so much! Thanks to the guys at Maven who clearly put a ton of work into designing the course and keeping it up-to-date.
Reviews from students, via this course's page on CourseDuck.
4. 15 days of Power BI - Complete Microsoft Power BI Bootcamp
Nikolai Schuler lays Power BI out as 15 days of about an hour each: 161 lectures and about 15.8 hours, from the basics through Power Query, visuals and DAX to the Power BI Service, scheduled refresh, the data gateway, row-level security, Python, SQL and the M language. It was updated in September 2026 and has about 23,200 reviews at 4.7. Reviewers like how each lesson builds on the last. Some found the pace fast, and several say the practice data or Power BI defaults no longer match what is on screen. It also needs a Windows PC.
Pros
- Fifteen daily sections of about an hour each give a clear schedule from basics to Power BI Service
- Reviewers like how each lesson builds on the last, plus the exercises placed between lectures
- Goes past visuals into DAX, row-level security, scheduling, Python, SQL and the M language
- Refreshed in September 2026, with 126,000 students and a 4.7 average rating
Cons
- The pace is fast, and some reviewers lost the reasoning behind the filters and DAX choices
- Practice data and Power BI defaults sometimes don’t match the screen, per several reviewers
- Windows only, and one reviewer found the recorded volume too low on speakers
What students say
Dennis BerendsenGreat explanations and practical example. Learning by doing. Sometimes the data in the practical course is outdated or mismatching though. Needed to check the Q&A to see why this happened.
Gene ChechelIt is a very detailed course that teaches everything from the Desktop app to the cloud collaboration, also includes Python-based data analysis that was a good surprise for me.
Reviews from students, via this course's page on CourseDuck.
5. PL-300 certification prep: Microsoft Power BI Data Analyst
The PL-300 is Microsoft’s Power BI Data Analyst certification exam. Phillip Burton’s course follows its outline in four parts (visuals, Power Query and M, data modeling with DAX, and the Power BI Service) over about 30.3 hours and 323 lectures, with 42 quizzes and two practice tests. It was updated in September 2026 and has about 38,800 reviews at 4.6. Several reviewers say they passed PL-300, one with a score of 850, and that he answers Q&A questions quickly. Others find it slow and padded, especially the long stretches on visual formatting, so treat it as an exam manual, not a project course.
Pros
- Follows the PL-300 study guide, and several reviewers report passing, one with 850
- Instructor answers Q&A questions, often within 24 hours according to one reviewer
- Clear accent and step-by-step demos suit beginners and non-native English speakers
- Updated September 2026, with 42 quizzes and two practice tests included
Cons
- Long at 30.3 hours, and reviewers call parts slow, repetitive or over-explained
- Datasets and examples (some real estate based) are called weak and hard to relate to
- Heavy on visual formatting and UI tours, light on real-world dashboard projects
What students say
Deborah MalsagovThis course is very thorough and the instructor adds fantastic insight. The hands on examples really help. The resources provided creates building blocks for successive activities as the course progresses. I recommend that people take advantage of the hands on experience. Phillip teaches with a calm and earnest tone which makes me encouraged to not only take the PL-300 certification but also to...
Jihed HersiAs someone who had never used Power BI before starting this course, Philip’s teaching style made everything click effortlessly. He covers almost every single topic in high detail without making it feel overwhelming. His hands-on, step-by-step approach made learning complex Power BI concepts simple and engaging. Thanks to this course, I built a solid foundation and went into my prep feeling fully...
Reviews from students, via this course's page on CourseDuck.
Tableau
6. Tableau A-Z: Hands-On Tableau Training for Data Science
If your team uses Tableau instead, Kirill Eremenko’s Tableau A-Z is the most-reviewed Tableau course in our catalogue: about 107,400 reviews at 4.7. It goes from a first bar chart to joins, blending, table calculations, clusters and storylines in about 8.6 hours over 77 lectures with seven quizzes, using a fresh dataset in every section. It was last updated in February 2025, the oldest update on this list. Reviewers like that it starts with doing rather than theory. Several say he moves fast and clicks without narrating, so beginners pause and rewind a lot.
Pros
- Hands-on from lecture one: each section brings a new dataset and a finished chart or dashboard
- Joins get a clear, careful explanation, which a reviewer singles out
- Short lectures (77 in 8.6 hours) make it easy to stop, rewind and revisit a topic
- Refreshed in February 2025 and 16 caption tracks, with a 4.7 rating over 107,000 reviews
Cons
- Kirill moves fast and clicks without narrating, so beginners pause and rewind a lot
- Some datasets must be fetched from Kaggle or another site instead of Udemy
- The data extract lesson needs paid Tableau, which the video doesn’t say
What students say
Nijit GaurIt is quite descriptive and easy to follow. The steps are shown very clearly and the topic is explained theoretically and technically too so you do not forget the content . End section quiz are very helpful too.
Bulent GokselExcellent course on Tableau. Great tutorials, real life examples. I particularly like the section on data preparation & cleaning which is a often overlooked but very fundamental topic which was very well covered here.
Reviews from students, via this course's page on CourseDuck.
7. 2026 Tableau Certification Training: Desktop, Prep, Cloud
Jed Guinto’s course is the long version: about 77.3 hours over 617 lectures with 25 quizzes, from install through beginner, intermediate and expert blocks on joins and relationships, parameters, sets, level of detail expressions, dashboard actions, stories and custom charts. It was updated in February 2026 and has about 15,400 reviews at 4.7. Reviewers say he explains complex topics simply and that they rarely get lost. The title promises Prep and Cloud too, but the section list available to us covers only Tableau Desktop, and at 77 hours it can drag for anyone already working in analytics.
Pros
- Jed explains complex topics simply, and reviewers say they rarely get lost
- Expert half goes deep on LODs, parameters, sets, joins and dashboard actions
- Exercises and simulated datasets let students practice what they just watched
- Updated in February 2026 and taken by over 100,000 students
Cons
- Custom Visualizations section feels rushed for such an advanced topic
- At 77 hours it can drag for people already working in analytics
- Syllabus is all Tableau Desktop despite Prep and Cloud in the title
What students say
Manohar ManepalliGetting to know the what's where and how to find stuff if one is stuck is how a good training should begin, and you were spot on in this regard Jed, am excited to start with the course
Meryem KACEMA very clear and engaging approach, Jed explains concepts in a way that makes everything feel simple and easy to understand. I’m completely satisfied with this course; an excellent instructor!
Reviews from students, via this course's page on CourseDuck.
Data analysis in Python
8. The Data Analyst Course: Complete Data Analyst Bootcamp
If you want to analyze data in code, 365 Careers’ Data Analyst Course starts from zero: install Anaconda, learn Python basics, then NumPy, pandas, text files and data cleaning, in about 21.6 hours over 286 lectures with hundreds of quizzes and coding exercises. It was updated in August 2026 and has about 25,100 reviews at 4.5. Reviewers call it clear and logical. Some of its code no longer runs on current Python, the auto-graded exercises can reject correct answers, and it is light on real analysis projects.
Pros
- Starts from zero: Anaconda setup, Python basics, then NumPy and pandas in a logical order
- Hundreds of coding exercises and quizzes keep students typing code, not just watching
- Reviewers call the explanations clear, step by step and easy to follow
- Updated in August 2026 and rated 4.5 across more than 25,000 reviews
Cons
- Some code and videos are dated, with reports of code that fails on current Python
- Auto-graded exercises can fail correct answers that differ from the preset code
- Light on actual analysis and projects, so portfolio work needs other material
What students say
Carlos Daniel Velazquez SaldañaRealmente fue un curso que me dejó muy buen sabor de boca. Desde el enfoque práctico, esta por demás decir que la mayoría de todo fue práctica, y en sesiones de teoría, se explicó solo lo más fundamental. Gracias!
Alberto Jimenez MejiaThis experience has been a long way! However, being practicing and getting into troubles with Jupyther, Anaconda, the system of my computer, transferring information, searching for more examples, etc. has been nutritious
Reviews from students, via this course's page on CourseDuck.
9. Data Analysis with Pandas and Python [2026]
Boris Paskhaver’s pandas course is for spreadsheet users moving the same work into Python: about 17.7 hours over 155 lectures, with 41 quizzes and 36 coding exercises, from a Python crash course through Series, DataFrames, MultiIndex, GroupBy, merging, dates and plotting. It was re-recorded for Pandas 3, updated in July 2026, and has about 26,700 reviews at 4.7. Reviewers praise concise explanations with plenty of examples. Pace divides them, and experienced Python users may want to skip the crash course, which runs close to three hours.
Pros
- Explanations are concise and clear, with plenty of worked examples, say reviewers
- 41 quizzes and 36 coding exercises keep practice in step with the lessons
- Re-recorded in 2026 for Pandas 3 and last updated in July 2026
- Goes past the basics into MultiIndex, merging, dates and text data
Cons
- One reviewer finds the pace too slow if they already know Python, while another finds it fast
- One reviewer wants more code exercises and less time spent on table styling
- One reviewer says the instructor did not answer questions, and another wanted transcripts
What students say
Augustina FloresVery concise and easy for me to understand. I'm a seasoned BE SWE refreshing my skills and this walkthrough is very well organized so I can skip through stuff I already know. I appreciate how he provides basic context so I know where to anchor (even if I skip through it, I recognize where we are without getting lost). Very predictable. Good stuff!
Aleksandar AtanasovGuys Boris Paskhaver offers the best learning resources for pandas! Together with his book Pandas in Action it’s the best learning structure. I had the pandas 2 course for some time and now I am surprised that he made new course for pandas 3 and instead of selling it as a separate course he packaged it in his pandas 2 course! His python course is also top notch.
Reviews from students, via this course's page on CourseDuck.
Presenting what you found
10. How to tell a story with data
The last step is explaining what you found. Mike X Cohen’s short course builds data presentations around a five-stage story arc, with sections on knowing your audience, graphics, delivery and ethics, in about 1.8 hours over 31 lectures with eight quizzes. It was updated in August 2026 and has about 31,700 reviews at 4.4. Reviewers like the arc and the ethics section and call him engaging. It stays at overview depth and one reviewer found parts self-evident, so treat it as an evening’s primer.
Pros
- Clear five-stage arc that reviewers say is well explained and easy to follow
- Short at 1.8 hours, with 31 lectures that are easy to fit into an evening
- Includes an ethics section that reviewers singled out as a highlight
- Instructor described by reviewers as engaging and funny
Cons
- Under two hours, so every topic stays at overview depth
- One reviewer found parts redundant or self-explanatory
- Eight quizzes but no coding exercises or assignments, so practice is left to the student
What students say
Dena BriscoProfessional Thank You sharing my pleasure and being happy to keep remember about the tell a story with data/ lecture is very important for my job.
Shondon MartinYes. This course is a good match for me and the workforce learning that is required for me to continue to do my job efficiently, at the professional level.
Reviews from students, via this course's page on CourseDuck.
Where to go next
Every course above has a full page on CourseDuck with its syllabus, our take and more student reviews; the cards link to them. More sit in our data analysis category, which ranks every course we list by student reviews. Related guides: the best Excel courses, the best SQL courses, and the best Python courses.
