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Отзывы учащихся о курсе Python Project for Data Science от партнера IBM Skills Network

Оценки: 2,168
Рецензии: 400

О курсе

This mini-course is intended to for you to demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python. This course is part of the IBM Data Science Professional Certificate and the IBM Data Analytics Professional Certificate. PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge....

Лучшие рецензии


27 февр. 2022 г.

Had a few issues with my IBM Cloud account and adding the Jupyter notebook but the help\response was great so was resolved quickly.

Great material that can defintely be applied to work experiences.


17 авг. 2021 г.

It was an awesome and very hard experience. I struggled a lot with the final assignments, which led to me learning a lot of new things and learning them good. I am giving this project/course 10/10.

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351–375 из 427 отзывов о курсе Python Project for Data Science

автор: Joshua S

24 мая 2021 г.

Good real world application of ideas and situations used in the life of a data analyist. I just dont like how coursera / the instructors vaguely answer questions. I am still not totally sure how to complete all the codes and I feel like we are tested on things we haven't been taught in the class.

автор: Michel M

27 апр. 2022 г.

It was a fun course, but I think that it could have more depth in other topics, it's primarily based in Web Scraping using Beautiful Soup.

Also it says that it is an intermediate course but I think that needs more content to be considered of that difficulty.

автор: Terrence M

2 мар. 2022 г.

T​he time recommended to complete each section in my opinion is way off I'd say in needs to be increased by 10 to 15 times to sufficiently understand the material. Its no way 30 minutes is enough when now being introduced to the majority of these topics

автор: Shubhashish B

13 мар. 2021 г.

The content was very short and learning required lot of side research. This section is poorly designed, this is not how other coursera modules are designed. This seemed to be a rush job. Suggest adding more content and reduce the steep learning curve.

автор: Joan M E

20 нояб. 2021 г.

C​ontent is good but implementation is poor, course chat support is ineffective, and resources were broken. Note that IBM did offer a month of free class to make up for the tools being down, but it was last straw at that point.

автор: Albert K

8 апр. 2021 г.

Some information like the links to the necessary data was hard to figure out, generally I learned a lot. I would recommend it anyone who wants to learn the harder way! It is intermediate, so beginners don't get headache

автор: Sam K

19 апр. 2021 г.

Definitely helpful but feels shoehorned into the Professional Data Science Certificate and more instructional material and videos to understand reasoning behind the elements of Webscraping would be beneficial.

автор: Yashaswini K

29 июля 2022 г.

The course content is good and great for beginner level. But faced a lot of issue in accessing the IBM skill network because of which I missed deadlines in the assignment and delayed completing the course.

автор: Klemen V

11 мар. 2021 г.

I already knew most topics. yfinance library was new to me and I fell it was not explained well. What it is, from where we get the data, is data updated? It was still fun doing analysis on real data.

автор: Saimon S

9 мая 2021 г.

This course is not for absolute beginners. Some concepts are not briefly explained but they are needed to complete the assignment. If these things get better then this course can offer more.


2 апр. 2022 г.

O​veral project assignment is good. But, using For loop for webscrapping has to be taught more in previous Course 04. Even using Dataframe is to be taught more for webscrapping.

автор: Bob D

1 окт. 2021 г.

The project was okay, but didn't test the broadest range of skills due to unnecessary repetition. Overall production and spelling were short of a quality educational product.

автор: Matthew C

4 апр. 2021 г.

Needs an answer key or a better hint guide, this took way longer than it should have. There aren't enough coding drills in this course to be coding mostly from memory.

автор: Michael g

10 февр. 2022 г.

​as with all of these courses on coursera there is a lot of frustration. Also it takes a really long time to get feedback and thats if you even get it.

автор: Kshanti G

11 июля 2022 г.

T​his course was more copy and pasting code and didn't really allow us apply any learned skills. Calling the course a "project" is a stretch.

автор: Katy

15 июня 2021 г.

I wouldn't call this course a "Python project"... it's more of a lab with exercises about the previous course ("Python for Data Science")

автор: Chakib B

30 июня 2022 г.

very interesting course but lack of details. May be better to add more explanations on some parts of the course

автор: Jon M G

19 апр. 2021 г.

I thought one of the questions required a skill that was not covered in the labs. Rest was pretty good.

автор: David C

9 мар. 2022 г.

good overall but the dependency on IBM cloud is time-consuming and of little value-add.

автор: Stéphan D

23 февр. 2022 г.

S​ome technical problems on IBM plateforms and some part of the course are not updated.

автор: Xinrang S

8 авг. 2021 г.

It's more suitable for learners who have background in Python but not new learners.

автор: Lucian P

13 дек. 2021 г.

A big problem with the mandatory work environment on IBM Cloud platform.

автор: Angela W

7 июня 2022 г.

For such a short course there was alot of information to get through.

автор: Krishanu P

1 июня 2021 г.

I learnt about web scrapping but this course could be much better.

автор: Swathy K P

26 нояб. 2021 г.

Labs and Assignments are extremely confusing but very informative