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You can now learn data analytics for free from top platforms like Google, Coursera, edX, and more - with certificates included.
These courses cover essential tools such as Excel, SQL, Python, and Power BI - ideal for beginners or those transitioning into a new career.
Free certifications can help enhance your resume and open doors to internships, entry-level analyst roles, and freelance opportunities.
Data analytics remains one of the most sought-after skills worldwide. The good news is that eager data professionals don’t have to spend a ton to get started. There are numerous free online data analytics courses with certificates, which are perfect for anyone looking to get into data analytics, switch careers, or just learn something new at the entry level.
These courses are free and include a comprehensive overview of data analytics tools like Excel, SQL, Python, and Power BI, as well as practical data projects to help you get started learning in no time.
Here’s a curated list of the top 10 free data analyst courses online in 2025.
Google Data Analytics is an organized, beginner-friendly course that teaches you the basics of analytics tools and analytics methods. This course will provide the right foundation for aspiring data analytics learners who are looking for a comprehensive and career-ready pathway.
Duration: Approx. 6 months (self-paced)
Topics: Excel, SQL, R, Tableau, Data cleaning, and Practical studies.
Certificate: Free with optional financial audit.
This short course provides a concise introduction to the fundamentals of analytics. IBM’s data analytics course is perfect for those wanting an accessible entry point into the field.
Length: Approximately 9 to 10 hours.
What to Learn: Basics of Excel, analysis development, BI, and data networks.
The certificate is free with financial aid.
Also read: Coursera Certifications to Launch Your Data Analytics Career
freeCodeCamp’s data analytics is a practical course designed for Python learners eager to master core libraries. The course is best suited for those interested in hands-on data analysis and visualization.
The duration takes around 20 to 25 hours.
Covered topics include NumPy, Pandas, data analysis, and visualization with Matplotlib.
Free certification.
Microsoft launched a focused program to strengthen Excel skills for analytics tasks. This course is ideal for professionals seeking to enhance their dashboard and reporting skills.
Length: Roughly 2 to 3 hours.
Learnings: Dashboard basics, pivot tables, charts, and methods.
Certificate: Free for a 1-month trial.
CareerFoundry’s course is an intensive, short-term learning path providing a clear overview of analytics. This data analytics program is suitable for learners exploring career options in the domain.
Time: Roughly 5 days.
Topics Covered: Model projects, career options, and an overview of data analytics.
Certificate: Free.
Data Analysis Essentials is a mid-length course that highlights practical skills with Power BI and Excel. The course is designed for learners looking to apply analytics in business contexts.
Interval: Approx. 1 and a half months.
Learnings: Power BI, Excel, conceptions, and data mock-ups.
Certificate: Free via scholarship or audit.
Mode Analytics’ course is an interactive, SQL-focused program designed to master queries and database handling. The course is ideal for beginners seeking hands-on, query-level learning.
Duration: 10 to 15 hours.
What to learn: Queries and subqueries of SQL, joins, filtering, and accumulation.
Certificate: Free.
Great Learning’s program is a concise course that introduces dashboard creation and visualization with Power BI, well-suited for professionals aiming to enhance their reporting capabilities.
Duration: 2 to 4 hours.
Topics: Power BI dashboards, interface, and data visualizations.
Certificate: Free.
Google’s Foundations is a starter program that builds awareness of data workflows, tools, and roles. The course is tailored for beginners stepping into the analytics space.
Duration: Approximately 5 hours.
Topics include data workflows, tool summaries, types, and roles.
Certificate: With financial aid or free audit.
Simplilearn’s Data Analytics Course is a compact program covering a wide scope of analytics tools and techniques. The program is suitable for learners who want an overview without committing long hours.
Interval: 2 to 5 hours.
Learnings: Excel basics, Python, analytics development, and tools overview.
Certificate: Provided.
Also read: Top 10 Free Courses to Launch a Deep Learning Career in 2025
Obtaining skills in data analytics is no longer a luxury. Organizations like freeCodeCamp, edX, and Coursera highlight data analytics certification free courses that help individuals to take the first steps in upgrading their skills. The best data analytics courses for beginners we have listed above encompass SQL and Excel, in addition to programming with Python, and using Power BI, and are all free.
The Google Data Analytics Certificate seems suitable for learning to be job-ready, whereas freeCodeCamp and Mode Analytics appear stronger in learning to code. Deciding which is the best free certified data analytics training is individual, depending on how someone prefers to learn, and what educational path someone is on.
1. Do these courses cost nothing?
No. Most offer free access via free trials or audit mode, while some require financial aid to obtain a free certificate.
2. Is it possible to get employed with just free certifications?
These courses help develop the basic skills necessary to secure internships or entry-level roles. But practical practice and projects develop expertise.
3. Which tool should I begin with?
Focusing on SQL and Excel, and then moving to Power BI and Python, would be better depending on the career path.
4. Do these courses need a tech background?
No. Most of them are beginner-friendly and don’t require any prior experience with analytical or coding skills.
5. Are employers aware of these certificates?
Google, Coursera, IBM, and edX certificates are highly recognized, particularly when combined with GitHub portfolios or practical projects.
