From data analyst to
production data engineer in 11 weeks

Hands down the best cohort I’ve attended so far! Every session was packed with value, unlike many bootcamps that focus on generic, basic knowledge. Harun is technically deep and made the sessions highly interactive. The assignments were well-designed to track progress, and the capstone project covered a broad tech stack while maintaining an industry-standard approach. Overall, an excellent hands-on learning experience that I’d highly recommend!

The Codebasics Cohort Training on DA to DE has Surpassed my Expectation. I Would like to Mention few things here Harun - Has Great Skills on Multiple Technologies and Great at Training. Kiran - As a back up or Leading the Chat and Providing all the related Content and looking after Issues was in Sync with the Cohort. The Concepts Explanations and Real world Scenarios were on Point. Although i had personal Commitments and could not attend sometime, Every Class is Recorded and uploaded in 24 hours which is great boon. I Appreciate the Patience the Team had and hoping to Continue with them for other learnings also. Thank you Soo much Codebasics Team.

The Live Data Engineering Bootcamp for Analysts exceeded my expectations. Harun's teaching stands out because he explains not just how things work, but why, making even complex concepts easier to understand. The curriculum is challenging, practical, and designed for real-world engineering, while the Codebasics team provides exceptional support through live doubt resolution, recordings, and an active Discord community. What impressed me most was how the team genuinely listened to learner feedback and adapted the pace to ensure everyone could keep up. The journey wasn't easy, but it was absolutely worth it. If you're serious about transitioning from Data Analytics to Data Engineering, I highly recommend this cohort for its practical learning, expert mentorship, and supportive community.

Codebasics' Data Engineering Bootcamp came at exactly the right time in my journey from BI to becoming a full-stack data professional. Every session is packed with practical, production-grade learning - not textbook theory. From advanced SQL and data warehousing to PySpark, Databricks, Delta Lake, and Azure Data Factory, the curriculum is thoughtfully designed, with assignments and a capstone that reinforce real-world skills. Haroon teaches like an industry practitioner, and the entire team ensures an exceptional learning experience. This cohort has given me the confidence to move from consuming data to building it. If you're a BI or analytics professional looking to transition into data engineering, I recommend this bootcamp without hesitation.

I’m really enjoying the Data Engineering for Data Analysts Bootcamp. It’s helping me strengthen my skills in SQL, data modelling, Python, PySpark, cloud technologies, and data pipelines, while giving me a better understanding of real-world data engineering. A special mention to the instructor Harun, whose clear and practical teaching style makes complex concepts easier to understand. His guidance and willingness to answer questions have made the learning experience much more valuable. Overall, this course is helping me confidently move from Data Analytics towards Data Engineering.

I recently enrolled into the Data Engineering course and I am having a very positive learning experience so far. The course covers all the topics mentioned in the brochure, with a teaching approach that was highly interactive and easy to understand. The doubt-clearing is done during the class itself and even after class also , with proper guidance for both conceptual and practical issues. The assignments and quizzes are also well-designed to strengthen our understanding and provide hands-on practice. Another great aspect is that the course focuses on industry-standard tools and technologies, making the learning experience relevant to real-world Data Engineering requirements. Overall, it is a very good and well-structured course with excellent support and practical learning. Highly recommended for anyone looking to build or strengthen their career in Data Engineering!

I recently joined the Codebasics Data Engineering Cohort, and it has been a really valuable learning experience. What I liked most was the combination of live cohort learning with Harun Sir and self-paced tutorials by Dhaval Patel. The live sessions helped me understand concepts practically and clear my doubts, while the self-paced content gave me the flexibility to go deeper and practice at my own pace. During the learning journey, I developed a much better understanding of several important Data Engineering concepts, including: * SQL concepts such as Semi Join, Anti Join, and the algorithms behind SQL execution * Logging, asynchronous operations, modules, and packages in production-level Python * Spark fundamentals * Broadcast Join and Data Shuffling * Partitioning and optimization * Medallion Architecture * Batch vs. Stream Processing * Fundamentals of AWS and Azure data platforms * How these concepts and technologies come together to build real-world Data Engineering pipelines The biggest takeaway for me is that the course goes beyond just teaching syntax. It helped me understand why a particular approach is used, what happens behind the scenes, and how Data Engineering systems are designed for production environments. The combination of structured learning, live sessions, practical assignments, and self-paced tutorials has made my learning journey much more effective. Overall, Codebasics has helped me build a stronger foundation in Data Engineering and given me more confidence to work on real-world projects. I'm genuinely enjoying the learning journey and would definitely recommend it to anyone looking to build a strong foundation in Data Engineering.