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Вернуться к Python Project for Data Science

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

4.5
звезд
Оценки: 1,920
Рецензии: 350

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

DM

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.\n\nGreat material that can defintely be applied to work experiences.

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.

Фильтр по:

126–150 из 374 отзывов о курсе Python Project for Data Science

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: Ajay N

22 окт. 2021 г.

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

автор: PRIYANSHU P

8 июня 2021 г.

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

автор: Tim

12 мар. 2021 г.

I learned much about web scraping and using libraries/api's

автор: Pratik P

31 окт. 2021 г.

Excellent layout of material, and good practice questions.

автор: My R

20 июля 2021 г.

The course was very well designed with clear instructions.

автор: Douglas A D

19 мар. 2021 г.

Good learning on webscraping and visualization/dashboard

автор: Yohanes

30 янв. 2022 г.

Metode pembelajarannya sangat bagus dan mudah dipahami.

автор: Steven D O

5 мая 2021 г.

love the content. good use of GME and Tesla case study!

автор: Uriel C

31 мар. 2021 г.

Es muy buen curso, aprendes lo básico de web scrapping

автор: Sidnei L B

10 февр. 2022 г.

G​reat course! Thanks for the opportunity to learn!!!

автор: TN T

16 июня 2021 г.

A wonderful course but a little bit practice problem

автор: Kris H

21 янв. 2022 г.

It was a great course about the data scienec tools

автор: Maulidya E

12 июня 2021 г.

So practical, and help me to improve more. Thank you

автор: vijay k A

3 июля 2021 г.

the course is more useful and cover basic concepts

автор: KELVIN C

29 мар. 2022 г.

Very useful to nkow how to extract data from HTML!

автор: Oscar I D L C P

29 дек. 2021 г.

Really good exercise to show what you have learned

автор: ahmed o

2 мая 2021 г.

Full of hands-on experience, really useful course!

автор: Aleksei B

8 апр. 2021 г.

Nice course to understand basics of web scrapping