OR
Nov 8, 2022
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.
JM
Dec 5, 2022
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!
By Obed I R
•Nov 8, 2022
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.
By Angel Y
•May 7, 2022
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.
By Néstor P R R
•Sep 23, 2022
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.
By Richard U O
•Jan 28, 2023
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
By sisi L
•Jul 9, 2022
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.
By John M
•Dec 6, 2022
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!
By Nataliia I
•Oct 21, 2022
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.
By Parisa T
•Sep 13, 2022
great course. I really liked how the concepts were followed by small labs. Well structured material.
By julio b
•Apr 26, 2022
Muy digerible, muchos ejercicios practicos
Quite clear to understand, many practical exercises
By Witold P
•Nov 13, 2022
Great course for begginers - the tasks to be completed do not discourage further learning.
By Oliva-Advisory
•Jun 1, 2022
Diesen Kurs sollte jeder machen, der an der Uni mit Python und Daten arbeitet.
By MUHAMMAD S
•Dec 13, 2022
Good lectures good knowledge and very interesting communication
skills
By Carolina L
•Dec 5, 2022
Very pertinent! Merci beaucoup!
By jonathan s
•Jul 29, 2022
good it's very helpful!
By Prosper S Y
•Jan 11, 2023
Great delivery
By Krishnadev A
•Sep 12, 2022
Best
By Porter W
•Jan 14, 2023
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.
By Anna L
•Apr 24, 2022
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.
By Brandt L
•Jun 30, 2022
Good for quick basics of working with bash, github, python, virtual environments and such
By Chalintra Y
•Jul 5, 2022
It's all overview tool that need to use for work in data engineer
By Sibusiso M
•Aug 16, 2022
Great introduction to how to set up your python environment.
By Curt W
•Aug 24, 2022
I did like the course but it is very basic.
By Peter L ( W
•Jun 17, 2022
A good beginner course into python.
By Gaurav B
•Nov 3, 2022
Very basic course.
By Jim S
•Nov 23, 2022
This course is a tragic mess. Quiz answers are wrong. Labs ask for mis-spelled method names. Exercises using pip don't work. This stuff was not proofed. It is a mess and a shame to have the Duke name on it!