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Avis et commentaires pour d'étudiants pour Python and Pandas for Data Engineering par Université Duke

4.4
étoiles
84 évaluations

À propos du cours

In this first course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will learn how to set up a version-controlled Python working environment which can utilize third party libraries. You will learn to use Python and the powerful Pandas library for data analysis and manipulation. Additionally, you will also be introduced to Vim and Visual Studio Code, two popular tools for writing software. This course is valuable for beginning and intermediate students in order to begin transforming and manipulating data as a data engineer....

Meilleurs avis

OR

8 nov. 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

5 déc. 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!

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1 - 25 sur 26 Avis pour Python and Pandas for Data Engineering

par Obed I R

8 nov. 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.

par Angel Y

7 mai 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.

par Néstor P R R

23 sept. 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.

par sisi L

9 juil. 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.

par John M

6 déc. 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!

par Nataliia I

21 oct. 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.

par Parisa T

13 sept. 2022

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

par julio b

26 avr. 2022

Muy digerible, muchos ejercicios practicos

Quite clear to understand, many practical exercises

par Witold P

13 nov. 2022

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

par Oliva-Advisory

1 juin 2022

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

par MUHAMMAD S

13 déc. 2022

Good lectures good knowledge and very interesting communication

skills

par Carolina L

5 déc. 2022

Very pertinent! Merci beaucoup!

par jonathan s

29 juil. 2022

good it's very helpful!

par Prosper S Y

11 janv. 2023

Great delivery

par Krishnadev A

12 sept. 2022

Best

par Porter W

14 janv. 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.

par Anna L

24 avr. 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.

par Brandt L

30 juin 2022

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

par Chalintra Y

5 juil. 2022

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

par Sibusiso M

16 août 2022

Great introduction to how to set up your python environment.

par Curt W

24 août 2022

I did like the course but it is very basic.

par Peter L ( W

17 juin 2022

A good beginner course into python.

par Gaurav B

3 nov. 2022

Very basic course.

par Jim S

23 nov. 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!

par Carey S

10 avr. 2022

riddled with mistakes. Every quiz has wrong answers as right answers. The content and videos are fine, its just the quizes that are all wrong