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

Оценки: 2,193

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.

Фильтр по:

126–150 из 431 отзывов о курсе Python Project for Data Science

автор: Anna M M

4 мар. 2021 г.

A challenging exercise that drew on what I learnt in the previous modules.

автор: Andreas F

27 февр. 2021 г.

This was a very fun and educational session to reinforce Python knowledge.

автор: Noe M

3 июля 2022 г.

Fun and useful, I would like to have more coding challenges like this one

автор: sanket w

29 авг. 2021 г.

Great for beginners to learn request, Beautiful soup and yfinance library

автор: Krista S

12 мар. 2021 г.

Nice small course to complete your first Python Project for Data Science.

автор: Nearl T V

5 июня 2022 г.

this course is very imprtant and I have a learnt a lot from this course.

автор: LO W

27 июня 2021 г.

A​n interesting case study with real world data for real world webpages.

автор: Lina D

22 апр. 2021 г.

Very nice platform to upgrade our skills. Thank you Coursera and IBM !!!

автор: Manuel A N R

20 дек. 2021 г.

Good Project for beginers about data scraping and yahoo finance library

автор: Diego A P

23 нояб. 2021 г.

V​ery practical code to extract information through a double-option way

автор: P M P

11 дек. 2021 г.

Very Practical course with real time experience. Highly recommended.

автор: Ty M

3 авг. 2021 г.

V​ery good and interesting example projects! Thanks for the ideas!

автор: Bernardo A

21 апр. 2021 г.

Very important course to learn how to gather data from web sources,

автор: Ankit C

23 сент. 2021 г.

Very benificial for finance field and lot to do with web scraping

автор: Naama T

16 июля 2021 г.

first time, finally, I get the feeling of achieving a mile stone.

автор: Mahasiva V S

3 мар. 2021 г.

All the learned python skills are put to practice in this project

автор: Archer M

27 авг. 2021 г.

Thanks for course. I liked the lab-to-quiz format in particular.

автор: Matthew S

14 февр. 2022 г.

Great course! Easy to follow and learned how to scrub websites.

автор: Jerônimo F d R F

22 янв. 2022 г.

Curso prático, objetivo e com tarefas intuitivas pra acompanhar

автор: Amara C E

16 июня 2021 г.

Challenged me, but kept building me up step, by step. Grateful.

автор: Carl-Michael E

6 мар. 2021 г.

This course is excellent!

It is thorough and challenging enough.

автор: Farnaz N

12 мая 2021 г.

Good follow-up to the general "Python for Data Science and AI"

автор: Darshan K

15 июля 2022 г.

It was a pleasant experience to have many hands-on sessions.

автор: Ajay N

22 окт. 2021 г.

This course was difficult for me but with lots of learning.


8 июня 2021 г.

An awesome experience. This module has been very well made.