Microsoft Is Teaching Data Analytics for FREE: A Complete Learning Path for 2026

Data Analytics has become one of the most in-demand skills across industries. Companies are actively hiring professionals who can understand data, extract insights, and present them through clear dashboards and reports. Yet, many learners end up spending thousands on paid courses without knowing where to begin.

What most people don’t realize is that Microsoft itself offers a complete Data Analytics learning path for FREE — and it’s built exactly around the skills companies expect in real roles.

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦- 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬

If Data Analytics is on your 2025 career goals list, this is one resource you absolutely shouldn’t ignore.

Why Learn Data Analytics from Microsoft?

Microsoft is not just a software company — it builds tools that businesses actually use every day, including Excel, Power BI, and Azure. Learning directly from Microsoft means:

You’re learning industry-relevant skills
The curriculum is structured and practical
Concepts are aligned with real job requirements
The learning paths are beginner-friendly

Instead of jumping between random tutorials, Microsoft Learn gives you a clear roadmap from fundamentals to applied analytics.

1. Get Started with Microsoft Data Analytics

This learning path is perfect for beginners who want to understand what Data Analytics really involves.

You’ll learn:

What data analytics is and how it’s used in business
The role of a data analyst
How data is collected, processed, and analyzed
Core concepts every analyst must know

This path builds your foundation and prepares you for more advanced tools like Power BI and Azure.

👉 Start here:
https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/

2. Prepare and Visualize Data with Microsoft Power BI

Power BI is one of the most in-demand tools for data analysts today. Companies expect candidates to know how to clean data, build dashboards, and communicate insights visually.

In this learning path, you’ll learn:

How to prepare and clean data
Data modeling basics
Creating interactive dashboards
Visualizing insights that decision-makers understand

This is where Data Analytics becomes practical and job-ready. If you’re preparing for internships or analyst interviews, Power BI skills can significantly boost your profile.

👉 Learn Power BI here:
https://learn.microsoft.com/en-us/training/paths/prepare-visualize-data-power-bi/

3. Introduction to Microsoft Azure Data

Modern data analytics doesn’t stop at dashboards. Many companies use cloud platforms like Azure to store, process, and manage large datasets.

This course introduces you to:

Core data concepts in Azure
Relational and non-relational data
Analytics workloads
Cloud-based data solutions

Even if you’re a beginner, this course helps you understand how analytics works at scale in real organizations.

👉 Explore Azure Data basics:
https://learn.microsoft.com/en-us/training/courses/dp-900t00

Who Should Follow This Learning Path?

This Microsoft Data Analytics roadmap is ideal for:

Students and freshers
Career switchers entering analytics
Working professionals upgrading skills
Anyone preparing for data analyst roles in 2025

No advanced coding knowledge is required to start. The learning paths are self-paced and easy to follow.

Why This Beats Paid Courses

Many paid courses:

Lack structure
Focus too much on theory
Don’t align with real tools used in companies

Microsoft Learn:

Uses official tools
Focuses on practical skills
Is trusted globally
Costs nothing

You’re learning from the same source that builds the tools companies rely on.

Final Thoughts

People often think high-quality learning must be expensive — but Microsoft proves otherwise. With these free learning paths, you can build a solid Data Analytics foundation, gain hands-on Power BI skills, and understand cloud-based data systems without spending a single rupee.

If you’re serious about Data Analytics in 2025, stop wasting time searching for random tutorials. Follow a structured path, learn from the source, and build skills that actually matter.

Start today — your future data analyst self will thank you.

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