This is a great training course, simple and interesting. This course contains a well-balanced variety of topics, such as vim usage, pandas, dask, and git among others It is highly recommended.

3.5 rounded up

The course provides a great overview of real-world tools, and covers important concepts in Python as well as software development. The lab is a bit too simple in my view, as well, when it comes to installation of new tools and Shell commands, It makes more sense to try it on my own laptop rather than in the lab environment.

Will continue with the next course of the specialization.

The goal of the curse is to be an introduction course in Python with some Pandas and for me, as someone who has some use of Python in my job, it was a great course: the explanations were god and clear, it remembers some functions that I didn't use frequently and teach me some things about Python that I ignored before.

But I think that the course should be difficult if you are new in programming. Maybe you should prefer a slower course, where you can take your time to understand and digest better the concepts.

A good crash course through Python and Pandas. I would highly recommend that you take some other introductory Python course (there are many available online) before attempting this course to get the most value out of your time and effort. For me, this course offered a good revision of the core concepts, and a good introduction to big data analytics (Pyspark and Dask). Recommended if you are interested in data engineering.

This Duke University course was excellent in delivery and a quick game changer as I was introduced to Python and Pandas for Data Engineering. I was able to quickly use the concepts taught in this course by Kennedy Behrman, and the approach was very practical. I am excited and look forward to the next course in this specialization: Linux and Bash for Data Engineering.

#dataengineering

It is a great and professional introduction to various tools used by data engineers. You can dig deeper in the materials mentioned in this course. I think this course did a pretty good job of setting me up to further study in this field.

excellent course, in terms of course design and interactivity. labs and exercises were extensive and helped me get things easier. even I took this course to refresh my knowledge, I feel learned more in depth. thanks!

Don't let the intro videos with the odd presentation format dissuade you, the rest of the course is excellent and uses normal slides to teach! Very good refresher, thank you!

Great course! I wish they put introduction to VS code in the first week, so that all work can be done there, but othewise, a good beginner course.

The lessons were laid out well and were easy to follow. I enjoyed how the labs reinforced the material that was covered.

great course. I really liked how the concepts were followed by small labs. Well structured material.

Muy digerible, muchos ejercicios practicos

Quite clear to understand, many practical exercises

Great course for begginers - the tasks to be completed do not discourage further learning.

Diesen Kurs sollte jeder machen, der an der Uni mit Python und Daten arbeitet.

Good lectures good knowledge and very interesting communication

skills

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

Very pertinent! Merci beaucoup!

good it's very helpful!

Great delivery

Best

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.

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.