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

4.5
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Оценки: 24,435

О курсе

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Лучшие рецензии

ED

14 авг. 2022 г.

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

GC

12 апр. 2020 г.

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

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226–250 из 3,928 отзывов о курсе Tools for Data Science

автор: Jorge I P Á

25 июня 2022 г.

Ofrece un contenido bastante detallado de las diferentes herramientas para la ciencia de datos, no solo para el procesamiento y la ejecución de código, sino entornos colaborativos útiles y muy usados en la actualidad.

автор: Sandro P

10 июня 2021 г.

I am grateful that the internet have Coursera, a platform to spend my time learning something new. After following the second part of this course, I am excited to continue to the third part of it. Thank you Coursera!

автор: Sri S S D

5 окт. 2019 г.

this was a very good course, to kick start the basics of various IDE's and how to use them on the cloud. This course is very helpful in providing knowledge and outlook of many new technologies that i am not aware of.

автор: Gilmar N

19 февр. 2019 г.

I really enjoyed this course! I had a very poor knowlegde of Zepplelin for instance, now I even consider using that tool more often! Besides, learning how to better use Jupyter is a great experience worthy the time!

автор: Ramesh B

15 авг. 2020 г.

I did learn something about Data Science tools but not thoroughly. Hope to learn further on the tools and its application. I know now that IBM Watson Studio is great to do Data Analytics. Thanks to the instructors.

автор: Max P

15 сент. 2020 г.

Some videos are of inferior quality. And subtitles at times inconsistent with what people in video are saying. Also in R lab some insonsistencies, such as the code that should be added in the end is already added.

автор: Josias S

9 апр. 2020 г.

Excellent content for someone who has no programming background! I will recommend to anyone to sign up cause even if you might doubt that you don't know much, by the the end of the course you will feel like a Pro!

автор: Muhammad U N

14 мар. 2019 г.

This course introduced me to the open source tools available for data scientists. The good thing about this course is introduction to multiple tools rather than a single tool and exercises to practice on the tool.

автор: Anish K

20 июля 2020 г.

This course has given me basic understanding of tools used in data science and its uses. It has given me confidence that folks who don't have computer science background can also master the data analysis skills.

автор: Adenuga B o

27 апр. 2020 г.

This track has exposed me to tools i never knew existed as a beginner, I have learnt how to use them and I am pleased to have gone through the track, my gratitude to my teachers and IBM for putting this together

автор: Anirudh G

6 авг. 2019 г.

We get to learn the basics of all open-source data science tools and their working in IBM Watson Studio and IBM Data Science Workbench. Tools we learn here are Jupyter Notebooks, Zeppelin Notebooks, R Studio IDE

автор: Wei H

10 мар. 2021 г.

I have learned much knowledge about data science. And there are so many tools and programming languages to deal with it. They are useful and Intelligent and i have more interest to join the data sicence world.

автор: KAIRAV T

14 апр. 2020 г.

An amazing course providing great exposure to data science basics and tools for data science. The amazing explanation regarding the benefits of the cloud computing in the world of data science are dope as well.

автор: David G

8 сент. 2020 г.

I enjoyed learning about these tools available for Data Science. This introduction did some to show the capabilities but would need more study and use to master them and learn more capabilities of these tools.

автор: Avinash B

13 авг. 2020 г.

Nice Course, You can have a look at all data science tools we can use for different tasks of data science..

And how IBM Watson Studio integrates all tools at a single place and makes data scientist's life easy.

автор: Madhuvarshini R

29 июня 2020 г.

Its really been a Great experience of exploring the tools to be used in the journey of Data Science. I thank Coursera for offering such a phenomenal course for young Data Science aspirants to hone their skills

автор: Hmada A

10 июля 2020 г.

Really the team who are working on that is amazing and from down of my heart i thank you so much

i have learned so far how to use the needed tools to my project and how to link my work in github with the team

автор: ruhul a

27 мар. 2020 г.

This seems to be a good start to know the tools in the field and have a brief introduction on each one of them, must for someone who is looking for a trend which Data Science had and has in past and present.

автор: Abhimanyu S

4 нояб. 2018 г.

Very nice course. This course gives a detailed introduction to the IBM Watson Studio along with other important tools for Data Scientists. It's a must do course for all beginners in the field of Data Science

автор: Suhani C

8 июня 2022 г.

A well-explained, easy to follow course. Helped me develop confidence and familiarized me with the basic working of the most popular data science tools. Highly recommend it to all beginners in the field !!!

автор: Anteneh A Y

13 апр. 2020 г.

I have made a rock foundation after taking this class! It gives you a guide that you can expand it with other resources over the internet and books. It is an excellent guide and content is also fun as well!

автор: Zayani M

10 сент. 2018 г.

It's easier than it looks. I was anxious when the mini lessons started using jargon that was unfamiliar to me. But when I started watching the demonstrations and doing the exercises, it all made more sense.

автор: SUBHAYAN D

10 июля 2021 г.

Nicely organising the course into an overall easy, digestible language as well as lots of Hands On online lab to hone requisite skills. Thanks a ton, Coursera and IBM for making learning fun and beautiful.

автор: Eric C Q

18 янв. 2022 г.

Very important information about the main tools, both open source and paid, that help the work of the data scientist. For someone like me who is just getting into this topic, it has been very interesting.

автор: DANILO N V

28 июня 2020 г.

Excelente curso para aprender quais são as ferramentas mais utilizadas para ciência de dados. Além de fazer um Overview sobre essas ferramentas o curso vai além e dá dicas de como começar a utiliza-las.