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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
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Оценки: 2,845

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.

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151–175 из 540 отзывов о курсе Python Project for Data Science

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.

Very practical code to extract information through a double-option way

автор: Chinedu C

3 окт. 2022 г.

It was a form experience getting to practice what I've learnt so far

автор: P M P

11 дек. 2021 г.

Very Practical course with real time experience. Highly recommended.

автор: Ty M

3 авг. 2021 г.

Very 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: Suhail F

15 нояб. 2022 г.

Practical work that really connects with real world problems

автор: Asha S

12 окт. 2022 г.

Excellent hands-on course that teaches through application.

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.

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: Marcio R d C

13 сент. 2022 г.

Ótimo curso para quem não sabe nada de python. Parabéns.