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Data Analysis | SQL,Tableau,Power BI & Excel | Real Projects (Udemy.com)

4-in-1 bundle: Practical learning of the essential tools used in Data Science with hands on examples and projects

Created by: Graeme Gordon

Last updated July 2026

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What you will learn

  • Learn and Understand SQL and it's role in Data Analysis.
  • Develop proficiency in writing complex SQL queries to extract, manipulate, and analyze data.
  • Develop the skills to clean, transform, and prepare data for analysis using Excel.
  • Learn how to effectively use Power BI to create interactive visualizations.
  • Apply the learned concepts and techniques to real-world data analysis projects.
  • Gain expertise in Tableau to create compelling data visualizations and interactive reports.
  • Build a solid foundation for a career in data analysis and be prepared for further learning and professional growth in the field.

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.6 out of 5higher than 67% of them
  • Reviews6,910#76 of 1,183 by number of reviews
  • Length14.8 hourslonger than 83% of them
  • Last updatedJuly 2026more recently than 83% of them

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Course Description

If you're interested in becoming a data analyst you're in the right place!


Please ensure you can install MySQL Workbench on your computer - I have enabled the installation videos for free preview so you can try.


In this course, you will learn how to master the key techniques and concepts required to extract, manipulate, visualize, and analyze data effectively. Whether you're a beginner or have some experience with data analysis, this course will cater to your needs and help you gain a competitive edge in the rapidly growing field of data analytics.


Here's what you can expect to learn:


  1. SQL Fundamentals: Dive into the world of structured query language (SQL) and learn how to write powerful queries to extract and manipulate data from databases. From basic SELECT statements to advanced JOINs, subqueries and aggregate functions, you'll gain a comprehensive understanding of SQL. This section is available for Mac and Windows laptops and computers.

  2. Tableau Fundamentals: Unleash the potential of Tableau, a leading data visualization and exploration tool. Learn how to connect to data sources, create stunning visualizations using drag-and-drop techniques, and build interactive dashboards to uncover valuable insights. This section is available for Mac and Windows laptops and computers.

  3. Power BI Essentials: Explore the capabilities of Power BI, Microsoft's powerful business intelligence tool. Discover how to import, transform, and model data from various sources, create interactive visualizations, and design compelling reports and dashboards. This section is only available for Windows users.

  4. Excel for Data Analysis: Excel remains a fundamental tool for data analysis, and in this course, you'll harness its power. Explore common features used by data analysts such as formulas, pivot tables, data cleaning, and conditional formatting to efficiently analyze and present data. This section is available for Mac and Windows laptops and computers.

  5. Using ChatGPT as a Data Analyst: Learn how to use ChatGPT to enhance your productivity as a data analyst. Discover practical techniques for utilizing ChatGPT to assist in writing SQL queries, generating code snippets, and automating repetitive tasks.

  6. Statistics for Data Analysis: Develop a strong foundation in statistical concepts essential for data analysis. Learn about key measures such as standard deviation, mean, median, and mode. Understand how to interpret these statistics and apply them to real-world data analysis scenarios.

Why Enroll in this Course?

  • Comprehensive Approach: Gain proficiency in four essential tools used by data analysts, allowing you to tackle a wide range of data analysis tasks.

  • Hands-On Learning: Through practical exercises and real-world examples, you'll apply your knowledge to solve realistic data analysis challenges.

  • Practical Projects: Work on exciting projects that simulate real-world scenarios, enabling you to build a portfolio of practical data analysis skills.

  • Expert Instruction: Learn from an experienced instructor who has extensive industry knowledge and a passion for teaching data analysis.

  • Career Advancement: Equip yourself with the skills demanded by the job market and unlock lucrative career opportunities as a data analyst or business intelligence professional.

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Instructor Details

Graeme Gordon

I am a Senior Data and Insights Analyst with extensive experience using SQL, Python, Tableau, Microsoft Excel, Databricks, and Snowflake. I currently work across Sales and Marketing, using Microsoft Dynamics 365 and other Microsoft business applications to support real-world business and data-driven decision-making.

I have used these tools daily in real business environments, and I teach them the same way I wish I had learned them - clear, practical, and focused on real-world tasks. My courses are designed to go beyond theory, helping learners understand not only how to use the tools, but how they are applied in professional data and business environments.

My goal is to help learners build confidence quickly through genuine examples, practical exercises, and hands-on projects that reflect what data analysts actually do. Whether you're learning data analysis, business intelligence, or modern business applications such as Microsoft Dynamics 365, I aim to make these skills accessible and easy to understand.

I'm passionate about helping people develop practical skills and showing that anyone can learn to work effectively with data and technology with the right guidance.

Please feel free to reach out if you have any questions.

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Reviews

4.6

6,910 ratings on Udemy

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By Estherlee@Tuta.com on 8/28/2026

Really easy to follow. Appreciated that it took a video to slowly walk through the download, instead of leaving it up to the students to figure out. Next time, for the MAC, would recommend showing how to get around the error message that Apple can't confirm safety of the downloaded external app. It was an easy Google and fix, but it did take longer than if the video also covered this incidence (like it did for the older MAC models and Archive).

By Polimeedi Sreekanthyadav on 8/17/2026

I've completed around half of the course so far, and I'm finding it very useful. The best part is the explanation of real time problems and practical queries. it gives a better understanding of how the concepts are used in real work, rather than just learning the theory.

By Derek E. Martin on 6/13/2026

Lots of valuable and useful information; interactive quizzes a PLUS, and the presentation is good. However, the only issue I have with the presentation is, the Query examples and display is too small; hard to see and read. This would have been far better had all the steps were zoomed in to see and read. Other than that, I personally feel this course does provide a great source of 'beginner level' of useful information... definitely enough to get anyone started on the right foot.

By Miriam on 6/5/2026

I am enjoying it so far. Learning is set at the correct level for me as a beginner but feeling that I am learning valuable ways to use the tools. Integrations using my Mac has however cost a bit of time.

By Kunal Suranje on 4/3/2026

It's really good and beginner-friendly. The plus point of this course is that it comes with projects, which will really give some additional attention to my resume. This course is really good, and I will recommend it.

By Veronique Guillon on 3/19/2026

Good course ! It took me a bit more than one month to finish it. Now, I have a broad understanding on how to clean an excel file and divide the data in tables with keys. You can use pivot tables on excel to visualize data. Then you can import on MySQL Workbench and use SQL queries to analyze the data (inner join, left join, count, filter data,...). Finally, you can make your report with charts on Power BI or Tableau by importing your data in csv or from mysql. The module with Snowflake shows the basics on how to analyze data online with a cloud that store your files.

By Troy Burtwell on 3/17/2026

I am brand new to learning Data Analytics, this was one of few courses on Udemy I could find that contained Excel, MySQL, Power BI and Tableau together which is great. Graeme's teaching style is personally too fast paced for me, I found myself going back and relistening to parts of lectures many times because he often will click on something without saying what he's doing or why and if you're following along by listening to his voice you will miss some things he does because he doesn't vocalize everything he's doing and often does it too quickly. The course seems to contain a good introduction to the main tools you will need as a Data Analyst but it's nowhere near enough to be job ready as by the end of the course most of this information has left my brain lol. It would have been nice to have a final project that we created from the ground up that used every tool we learned. This seems to be an issue with most Udemy courses, there is simply not enough quizzes, exams, practice questions, projects, etc that drill the information into your head. If you're like me, you need to read/do something 10 or 20 times before you actually learn it and don't need to look it up anymore, I just wish these courses would build that into the curriculum, I need to be tested constantly, I just wish there was a better way to make sure you actually understand what was being taught more effectively. I am at the end of the course now and I am excited to start doing my own projects because I know that's when I will really start learning. Overall the course was okay, it's a decent intro to Data Analytics, the teaching style is a bit too fast and you will need to do a lot more after the course to be job ready but it's a starting point and we all have to start somewhere.

By P Kushal on 1/6/2026

This course was a great fit for me. The content is very practical and focused on real-world data analysis, which helped me build confidence quickly. The hands-on projects using SQL, Excel, Tableau, Power BI, and Python made the learning feel relevant and immediately useful. Graeme explains concepts clearly and in a way that reflects how data analysts actually work. I’d definitely recommend this course to anyone looking to develop job-ready data skills.

By Fernando Alves on 12/20/2025

Questo corso è stato per me un bello inizio in quello che voglio seguire, mi è piaciuto molto. Come un riassunto del corso, le lezione, le dinamiche e le spiegazione sono stata veramente di gran professionalità. Grazie

By Oscar on 12/18/2025

It was a good experience. I have learn a lot of important things related to data analysis. If I have to suggest an improvement would be the explanation of the "why", sometimes as a student you have to figure out by yourself, due to, is not well explained why some decisions are made in each class. But overall it is a good course.

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Overall Score : 92 / 100