Are you ready to dive headfirst into the world of data analytics but feeling a bit overwhelmed by all the choices out there? You’re not alone — with so many courses, tools, and platforms available, it’s easy to get lost in a sea of dashboards, SQL queries, and Python scripts. 😵💻
But don’t worry — we’ve done the heavy lifting for you.
We combed through hundreds of Udemy courses, read reviews, looked at ratings, took the content for a test drive, and handpicked the 15 best data analytics courses you can take in 2025 — whether you’re just starting out or levelling up your career in data science, business intelligence, or data engineering.
These aren’t just theory-packed videos to snooze through — every course on this list is practical, accessible, and built for real-world application. From spreadsheet wizards to SQL slingers, dashboard artists to Python pros-in-training, there’s something here for every kind of learner.
Data Analytics Courses at a Glance
Here are the 15 courses we reviewed — click the name below to jump to that course review:
- Data Analysis with Pandas and Python
- SQL – MySQL for Data Analytics and Business Intelligence
- Tableau 2022 A-Z: Hands-On Tableau Training for Data Science
- Python for Data Science and Machine Learning Bootcamp
- The Data Science Course 2025: Complete Data Science Bootcamp
- Power BI A-Z: Hands-On Power BI Training For Data Science
- Statistics for Data Science and Business Analysis
- SQL Masterclass: SQL for Data Analytics
- Microsoft Excel: Data Analysis with Excel Pivot Tables
- Microsoft Excel: Data Visualization, Excel Charts & Graphs
- Python A-Z: Python for Data Science with Real Exercises!
- Learning Python for Data Analysis and Visualization
- Complete Introduction to Business Data Analysis
- Data Analysis Essentials Using Excel
- SQL for Data Analysis: Beginner MySQL Business Intelligence
1. Data Analysis with Pandas and Python
Overview
This course offers a comprehensive introduction to data analysis using Python’s powerful pandas library. You’ll learn how to manipulate, analyze, and visualize data efficiently.
Pricing
Approximately £15 (prices may vary with discounts).
Duration
20 hours of on-demand video.
Best For
Beginners and intermediate learners looking for a complete Python education.
Pros
✅ In-depth coverage of pandas functionalities
✅ Hands-on projects with real-world datasets
✅ Clear and engaging instruction
Cons
❌ Assumes basic Python knowledge
2. SQL – MySQL for Data Analytics and Business Intelligence
Overview
Master SQL queries and database management with MySQL. This course covers everything from basic queries to advanced data analysis techniques.
Pricing
Approximately £15.
Duration
9.5 hours of on-demand video.
Best For
Aspiring data analysts and business intelligence professionals.
Pros
✅ Comprehensive coverage of SQL concepts
✅ Practical exercises with real datasets
✅ Suitable for beginners
Cons
❌ Limited focus on database administration
3. Tableau 2022 A-Z: Hands-On Tableau Training for Data Science
Overview
Learn to create interactive dashboards and visualizations using Tableau. This course takes you from the basics to advanced features.
Pricing
Approximately £15.
Duration
8.5 hours of on-demand video.
Best For
Individuals seeking to enhance their data visualization skills.
Pros
✅ Hands-on projects
✅ Covers latest Tableau features
✅ Engaging teaching style
Cons
❌ Requires Tableau software (free trial available)
4. Python for Data Science and Machine Learning Bootcamp
Overview
This bootcamp covers Python programming, data analysis, visualization, and machine learning. A one-stop-shop for aspiring data scientists.
Pricing
Approximately £15.
Duration
25 hours of on-demand video.
Best For
Beginners aiming to delve into data science and machine learning.
Pros
✅ Comprehensive curriculum
✅ Hands-on coding exercises
✅ Covers popular libraries like pandas, matplotlib, and scikit-learn
Cons
❌ Fast-paced; may require additional study
5. The Data Science Course: Complete Data Science Bootcamp 2025
Overview
A comprehensive course covering statistics, Python programming, machine learning, and deep learning.
Pricing
Approximately £15.
Duration
28.5 hours of on-demand video.
Best For
Individuals seeking a broad understanding of data science.
Pros
✅ Extensive coverage of topics
✅ Real-world case studies
✅ Requires dedication due to course length
Cons
❌ Requires dedication due to course length
6. Power BI A-Z: Hands-On Power BI Training For Data Science
Overview
Dive into Microsoft’s Power BI to create compelling dashboards and reports.
Pricing
Approximately £15.
Duration
10.5 hours of on-demand video.
Best For
Professionals aiming to enhance their business intelligence skills.
Pros
✅ Practical projects
✅ Covers data transformation and visualisation
✅ Suitable for all levels
Cons
❌ Focuses solely on Power BI
7. Statistics for Data Science and Business Analysis
Overview
Understand the statistical concepts essential for data science and business analytics.
Pricing
Approximately £15.
Duration
4.5 hours of on-demand video.
Best For
Beginners needing a foundation in statistics.
Pros
✅ Clear explanations of complex topics
✅ Real-world examples
✅ Short and concise
Cons
❌ Limited depth; serves as an introduction
8. SQL for Data Analytics
Overview
This course delves into SQL, focusing on its application in data analytics. You’ll learn to write complex queries, manage databases, and perform data analysis tasks efficiently.
Pricing
Approximately £15.
Duration
8 hours of on-demand video
Best For
Individuals seeking to enhance their SQL skills for data analysis.
Pros
✅ Comprehensive coverage of SQL topics
✅ Hands-on exercises with real-world scenarios
✅ Suitable for beginners and intermediate learners
Cons
❌ Limited coverage of advanced database concepts
9. Microsoft Excel: Data Analysis with Excel Pivot Tables
Overview
Master the art of data analysis using Excel’s Pivot Tables. This course teaches you how to summarize, analyze, and present data effectively.
Pricing
Approximately £15.
Duration
6 hours of on-demand video.
Best For
Excel users aiming to enhance their data analysis capabilities.
Pros
✅ In-depth exploration of Pivot Tables
✅ Practical examples and exercises
✅ Enhances data visualization skills
Cons
❌ Requires basic Excel knowledge
10. Microsoft Excel: Data Visualization w/ Excel Charts & Graphs
Overview
Learn to create compelling charts and graphs in Excel to visualize data effectively. This course covers various chart types and customization techniques.
Pricing
Approximately £15.
Duration
4.5 hours of on-demand video.
Best For
Professionals seeking to improve their data presentation skills using Excel.
Pros
✅ Comprehensive coverage of Excel’s charting tools
✅ Hands-on projects for practical learning
✅ Suitable for all skill levels
Cons
❌ Focuses solely on Excel; limited coverage of other tools
11. Python A-Z™: Python For Data Science With Real Exercises!
Overview
This course takes you from Python basics to advanced data science concepts, including data analysis, visualization, and machine learning.
Pricing
Approximately £15.
Duration
22+ hours
Best For
21 hours of on-demand video.
Pros
✅ Comprehensive curriculum covering Python and data science
✅ Hands-on exercises with real datasets
✅ Engaging teaching style
Cons
❌ Assumes no prior programming experience; may be slow-paced for some
12. Learning Python for Data Analysis and Visualization
Overview
This course focuses on using Python for data analysis and visualization, covering libraries like pandas, NumPy, and matplotlib.
Pricing
Approximately £15.
Duration
11.5 hours of on-demand video.
Best For
Individuals looking to leverage Python for data analysis tasks.
Pros
✅ Detailed coverage of essential Python libraries
✅ Practical examples and exercises
✅ Suitable for beginners with basic Python knowledge
Cons
❌ May require additional resources for advanced topics
13. Complete Introduction to Business Data Analysis
Overview
Gain a solid foundation in business data analysis, covering topics like data collection, cleaning, analysis, and visualization.
Pricing
Approximately £15.
Duration
6 hours of on-demand video.
Best For
Professionals aiming to apply data analysis in business contexts.
Pros
✅ Comprehensive overview of business data analysis
✅ Real-world case studies
✅ Suitable for beginners
Cons
❌ Limited depth in technical aspects
14. Data Analysis Essentials Using Excel
Overview
Master essential data analysis skills using Excel, including data cleaning, analysis, and visualisation techniques.
Pricing
Approximately £15.
Duration
5 hours of on-demand video.
Best For
Excel users seeking to enhance their data analysis capabilities.
Pros
✅ Practical approach with hands-on exercises
✅ Covers a wide range of Excel functions
✅ Suitable for all skill levels
Cons
❌ Requires an understanding of finance concepts
❌ May be too niche for general programmers
15. SQL for Data Analysis: Beginner MySQL Business Intelligence
Overview
Learn SQL the right way—by diving into data analytics. This course focuses on using MySQL specifically for business intelligence tasks. You’ll go from writing simple queries to slicing and dicing large datasets like a data ninja. 🥷
Pricing
Approximately £15 (subject to Udemy’s frequent discounts).
Duration
6.5 hours of on-demand video.
Best For
Beginners who want to apply SQL in a business and analytics context.
Pros
✅ Beginner-friendly with no prior experience needed
✅ Covers real-world business scenarios
✅ Teaches how to draw insights from data, not just write queries
Cons
❌ Focuses on MySQL only (not PostgreSQL or other DBMS)
❌ May be too basic if you’re already comfortable with SQL
Final Thoughts: Which Course Will You Pick?
There you have it—15 of the best data analytics courses on Udemy in 2025, handpicked and reviewed to help you make a smart decision (because, hey, that’s what data people do best 💡📊).
Whether you’re diving into SQL, dabbling in Python, mastering Excel, or building dashboards in Tableau or Power BI, there’s a course on this list that’ll help you level up fast—without needing a PhD or selling your soul to the algorithm gods.
✅ Want to wrangle messy spreadsheets? Go for the Excel-based picks.
✅ Craving coding cred? Python and pandas are your friends.
✅ Visual learner? Tableau and Power BI have your back.
✅ Prefer a no-code starting point? Business-focused courses are a solid bet.
And the best part? These courses are affordable, accessible, and built for real-world application. No fluff, just actionable skills you can start using today.
One More Thing…
Don’t just enroll and forget about it—make a learning plan, take notes, build mini-projects, and share your progress. The more you do, the more it sticks.
Now go ahead, pick your course, and start turning data into insights. Your future (data-driven) self will thank you. 🚀
Happy learning!
