My Learning Roadmap for Data Engineering in 2025 – Top Courses That Helped Me

[komalp]

Hey everyone! 

I’m a fresher who was really overwhelmed by all the long data engineering roadmaps out there. After trying a few paths, I put together a more focused learning plan that actually worked for me over 3–4 months.

Here are the courses that helped the most:

• Prepzee Bootcamp – Short, structured program that helped me build real cloud projects (GCP & AWS)
• Google Cloud Skills Boost – Free labs and skill badges that are great for hands-on learning
• Coursera (IBM & Google tracks) – Good for learning the basics of Python, SQL, and ETL pipelines

I shared the full guide I used (including tips, tools, and how I stayed on track) in a blog here:

Top Data Engineering Courses to Learn in 2025 

If anyone’s looking for a practical starting point, feel free to check it out. Happy to share my GitHub repo or learning tracker if it helps!

[lbendlin · Accepted solution]

Consider posting this in the blog section rather than in the questions section.

[keiralweis · Accepted solution]

Yes, I read your tips and found them really helpful—thank you for sharing! The way you simplified the learning roadmap makes a lot of sense, especially for someone starting out like me.
Could you please share where you enrolled in the Prepzee Bootcamp? Would love to follow a similar path. Also, would appreciate if you could share your GitHub repo or learning tracker too

[v-prasare]

Hi @komalp,

Can you confirm whether did you post this in blog section? If yes or we don’t hear back, we’ll go ahead and close this thread.
Should you need further assistance in the future, we encourage you to reach out via the Microsoft Fabric Community Forum and create a new thread. We’ll be happy to help.

Thank you for your understanding and participation.

[komalp · Accepted solution]

Hi @v-prasare , thank you for following up.

I haven’t posted it in the blog section yet, but I will be doing that shortly. Appreciate your patience, and I’ll make sure to follow up once it’s live.

Thanks again for your support and for keeping the community active!

[keiralweis · Accepted solution]

Yes, I read your tips and found them really helpful—thank you for sharing! The way you simplified the learning roadmap makes a lot of sense, especially for someone starting out like me.
Could you please share where you enrolled in the Prepzee Bootcamp? Would love to follow a similar path. Also, would appreciate if you could share your GitHub repo or learning tracker too

[komalp]

Thanks so much @keiralweis for the kind words! I'm really glad you found the roadmap helpful—it means a lot. 😊

I enrolled in the Prepzee Data Engineering Bootcamp directly through their official website: https://prepzee.com. They have a flexible schedule and hands-on projects that really helped reinforce my learning.

[keiralweis]

@komalp Thank you for putting together such a clear and practical roadmap—it really gave me a solid starting point. And I appreciate you sharing the Prepzee link! I’ll definitely check out the bootcamp. Looking forward to learning more and hopefully following a similar journey.

[v-prasare]

Thank you for sharing this. This kind of post is incredibly valuable to the community. I suggest turning this post into a blog post so that other community members can benefit from your experience more easily.

https://community.fabric.microsoft.com/t5/Power-BI-Community-Blog/bg-p/community_blog 

Please consider marking this post as Accept as Solution to help the other members find it more quickly.

[komalp]

Thank you so much for your kind words and the thoughtful suggestion! I’m really glad to hear that you found the post valuable. I’ll definitely look into converting it into a blog post on the community blog section so it can reach more members who might benefit from it. Appreciate you sharing the link—and yes, I’ll go ahead and mark it as a solution as well. Thanks again for the encouragement!

[lbendlin · Accepted solution]

Consider posting this in the blog section rather than in the questions section.

[komalp]

Thanks for the heads-up! I appreciate your suggestion—makes sense to move this over to the blog section for better visibility. I shared it here hoping it might help others in the Data Engineering space who feel a bit lost starting out. Will definitely look into posting it in the right place as well.