Chevron Left
Вернуться к Python Project for Data Science

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

4.5
звезд
Оценки: 1,484
Рецензии: 272

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

VV
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.

SK
5 окт. 2021 г.

Best course so far, under the IBM Data Science professional certificate program. It is heavy on the practical side, which is a good thing as it gives the person a more hands-on experience.

Фильтр по:

251–275 из 284 отзывов о курсе Python Project for Data Science

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.

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: Katrine T

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: 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: Xinrang S

8 авг. 2021 г.

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

автор: Lucian V P

13 дек. 2021 г.

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

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

автор: Jason C

12 сент. 2021 г.

G​ood practice project

автор: Rafael P S

4 нояб. 2021 г.

Nice but very basic.

автор: greg i

23 июля 2021 г.

Encouraging

автор: Montserrat C

18 апр. 2021 г.

Final assignments involve matters that have not been seen during the course. Course should have more explanations, both video and text, and then more practice in order to settle what you have seen. It's not at all a beginners course; perhaps it could be for the matter but not for the explanations.

автор: Fernando M M E

5 сент. 2021 г.

I think it isn't a good beginner course for Python. There are some things that are not explained and other that are not well explained. However, if you are following the data science learning path, I recommend you do it so you can pass to the next one.

автор: Lisa S

27 сент. 2021 г.

T​his course seemed disjointed and the flow could be improved. It assumes prior knowledge or requires additonal work outside of the course to master the fundamentals being taught.

автор: Armeen A

2 мар. 2021 г.

A lot of issues with this course. New information wasn't explained in detail and I was left with a lot of questions. Last assignment had a lot of issues.

автор: Miralireza N

1 дек. 2021 г.

Not a fan of Using Watson Studio.

автор: Mohamed G E

27 авг. 2021 г.

not easy to web scrapping

автор: MOHAMMAD A

7 окт. 2021 г.

that not good

автор: Sam S

1 апр. 2021 г.

Difficult

автор: Yohaunin Z

3 авг. 2021 г.

I am really not happy with this course. Several missing details and overall feeling ill prepared for the assignments (as was the case with prior courses) . Unclear instruction and missing bits of information make it really hard to progress and learn anything new without feeling like you're banging your head against the wall!!!

автор: Eleanor

8 янв. 2022 г.

Classes in IBM Data Analyst track seem to be for marketing purposes. They force you to sign up for IBM products, provide your personal information and credit card number, and then it doesn't even work. You really don't learn much in the actual classes, they just seem to want to advertise IBM products.

автор: William I

15 янв. 2022 г.

Uploading screenshots of the solutions and sharing the notebook are fully redundant, and using screenshots people could accidentally include sensitive information in other tabs. I would recommend just sharing notebooks and removing the requirement to do screenshots.

автор: Joseph H

2 мая 2021 г.

Do not waste your money on this certificate. I was unable to complete because of issues then I realized that I did not learn enough from these people at IBM. I found small business teachers at Udemy to be more helpful, and will continue my learning there.

автор: Nihal T

24 мар. 2021 г.

Assignment was okay, but the submission... I find it bullying to force learners to create an IBM account to share the link of the document. It is basically forcing somebody to share her/his data. I am neither committing the assignment nor sharing my data.