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Вернуться к Python Project for Data Science

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

4.5
звезд
Оценки: 2,875

О курсе

This mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired scenario to identify patterns and trends. You will perform specific data science and data analytics tasks such as extracting data, web scraping, visualizing data and creating a dashboard. This project will showcase your proficiency with Python and using libraries such as Pandas and Beautiful Soup within a Jupyter Notebook. Upon completion you will have an impressive project to add to your job portfolio. 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.

Great 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:

201–225 из 543 отзывов о курсе Python Project for Data Science

автор: Robert W

•

14 янв. 2022 г.

An excellent course! Very well organized.

автор: Amine N

•

7 нояб. 2021 г.

Learn much things, especially Webscraping

автор: Zhengyi L

•

8 мар. 2021 г.

Fun projects. Videos are terrible though.

автор: Rodrigo H d F

•

22 нояб. 2022 г.

Very good course with challenging tasks!

автор: Paul O

•

18 нояб. 2022 г.

great course with brainstorming projects

автор: Avinash S R

•

25 авг. 2021 г.

It was a bit of difficult but very nice.

автор: André J A

•

22 июля 2021 г.

Ótimo e prático para aprender e ensinar.

автор: Eşqin K

•

28 мар. 2021 г.

This was an aazing experience. Thank you

автор: Mohamed A T

•

7 мар. 2021 г.

Very Nice Course ! Thank you very much!!

автор: Arnab A

•

15 мая 2022 г.

A very good and practical based course.

автор: Michaela S

•

18 окт. 2021 г.

Very well strucured and easy to follow.

автор: Hamed S

•

15 нояб. 2022 г.

Great exercise to check Python skills.

автор: Anirudh K

•

28 июня 2022 г.

Well explained and easy to understand.

автор: PARTHA R

•

1 мая 2021 г.

Thanks For giving me this opportunity.

автор: Baran B A

•

11 янв. 2022 г.

I enjoyed while making these projects

автор: Xu H

•

10 авг. 2021 г.

really learn something for the coding

автор: Patrick N

•

31 янв. 2023 г.

Great course with hands on practice

автор: Urooj F

•

5 окт. 2022 г.

very useful and easy to understand

автор: Yousry S

•

6 окт. 2021 г.

Good practical experience challenge

автор: Alexander P G

•

3 сент. 2021 г.

Good course, topics well explained.

автор: Abhishant G

•

19 нояб. 2021 г.

Really good Data analysis project!

автор: Balu

•

30 авг. 2021 г.

Good project, but very basic level

автор: Robert A

•

4 июля 2021 г.

Excellent course. Learned a lot.

автор: Ramazan T

•

19 апр. 2021 г.

Thank you so much for this course.

автор: Hadiana S

•

1 дек. 2022 г.

Very good course, learning a lot!

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