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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:

176–200 из 543 отзывов о курсе Python Project for Data Science

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.

Great course! Thanks for the opportunity to learn!!!

автор: TN T

16 июня 2021 г.

A wonderful course but a little bit practice problem

автор: Ievgenii D

19 сент. 2022 г.

Extremely informative and concise course. Thank you!

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: Zahra K

3 нояб. 2022 г.

This course was great. thanks to IBM and Coursera.

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

автор: Heramb G

9 мая 2022 г.

This course gives you the start in Data Science

автор: Ben H V

30 сент. 2021 г.

Challenging and packed with lots of information

автор: Anandhu H

1 июня 2021 г.

Great course with a hands on project in the end

автор: Sabda N H

28 июня 2022 г.

Best practice for new-entry data analyst role.

автор: Haider A

20 сент. 2021 г.

outstanding Course ever with full of knowledge

автор: Mekonnen S

13 мар. 2022 г.

Python project for Data Science is intersting

автор: Ankur S

15 мая 2021 г.

Very Nice . Lot of learning from the project.

автор: ruben d f

5 мар. 2021 г.

It could be a little bit longer the project.

автор: CHIA E T

12 сент. 2022 г.

I love this cause so easy and professional

автор: Marius-Liviu B

15 дек. 2021 г.

A good way to exercise your Python skills.