Very helpful to get a strong grip on the fundamentals

clear instructions and fulfilling path to succcess

Excellent, but the pace of Week 4 is a bit rush.

Excellent course from Duke University

Very pertinent! Merci beaucoup!

Clear , engaging, instructive.

Teaching style is awesome 👍.

good it's very helpful!

very thankfull

Great delivery

Great Course!

Excelente

Best

Nice

ok

### Free format review: This combination of four courses covers a wide range of perspectives, technologies such as Python, SQL, cloud platforms, and applications like data pipelines, ETL processes, and basic machine learning tasks. It is particularly suitable for those who need a solid introduction to basic Data Engineering concepts and practical skills for simple tasks. I recommend starting with these courses and then progressing to more in-depth materials to gain a more comprehensive, contextual understanding of the topics. ### Why not 5 stars? Like many others, I keep a daily study log or tracker where I set daily goals, such as "Complete 50–75% of Module 1." At the end of each day, I evaluate my progress and adjust the next day's goals accordingly. However, a significant issue with these courses is the inconsistency in workload between modules, even within the same course. This variability makes it challenging to plan studies and set realistic daily goals effectively. Additionally, some course videos appear to be taken out of context from other course series. Starting with "part 17," such as abruptly diving into a specific technical demo or project example without any prior introduction or explanation or practical replicability creates confusion. Different instructors also tend to assume prior knowledge that hasn't necessarily been covered previously. Occasionally, the paradigm shifts or evolves so quickly that it's hard to keep track of what's happening—particularly noticeable in the otherwise commendable instruction of Alfredo Deza; a former top Olympian athlete, currently one of the leading Data Engineers globally. However, I want to emphasize that all instructors, especially Mr. Deza, clearly demonstrate deep expertise, evident from their impressive careers in leading companies within their fields. A special mention to Noah Gift, whose expertise goes beyond merely teaching technical skills—he truly stands out as both an engaging instructor with exceptional breadth and depth of knowledge. Additionally, Mr. Behrman's pacing and calm, clear manner of teaching make him particularly effective in conveying foundational concepts across different topics.

This course is well-suited for beginners, offering a good starting point for those new to the subject. However, the labs feel too simplistic, and there's room for improvement in covering concepts thoroughly. While it provides a foundation, students may need to supplement their learning to dive deeper into the material. Adding more challenging exercises and ensuring comprehensive coverage of topics could enhance the learning experience.

Great introductory course. Learned a lot about Python from not knowing anything about the syntax or capabilities of the language. I think my experience in web development was an overall assistance toward progressing through the course quickly. Not all of the quiz questions are accurate. This needs to be fixed.

Great course. Good step-by-step explanations, examples and exercises. I would have expected a little bit more content in this first course, but in summary it really focuses on the very important things to learn which seems to be really valuable for me.

I enjoyed learning python panda and numpy, but I don't understand why I had to learn VIM, vscode, and git. That stuff was so boring and I dont see the use

Good for quick basics of working with bash, github, python, virtual environments and such

It's all overview tool that need to use for work in data engineer

Great introduction to how to set up your python environment.

I enjoyed this course and will recommend it to everyone.

I did like the course but it is very basic.