ED
14 de ago de 2022
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 de abr de 2020
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.
por Mukul B
âą13 de out de 2018
I had Jupyter Notebook installed on my laptop for months. Thanks to this course, now I know what do to with it ;-)
por Anwer A
âą7 de set de 2018
I learned a lot about what tools are available to do Data Science, and what IBM has to offer for the same purpose.
por Ayman T
âą9 de nov de 2020
After finishing such a great course, I can say that now I'm starting to apply data science concepts without fear.
por Bridget D
âą20 de mai de 2020
This is a great class for those who want to become familiar with the tools and software that data scientists use.
por Leandro L R
âą8 de mai de 2020
Excellent. I suggest to update the slides with Watson studio. It took me a while to find where the notebooks are.
por Pablo C S
âą19 de mar de 2020
De maneira rĂĄpida e didĂĄtica expĂ”e as ferramentas abertas disponibilizadas pela IBM, na ĂĄrea de CiĂȘncia de Dados.
por Keith C
âą4 de fev de 2020
This course gave me the confidence that I can in fact learn about Data Science and excites me to learn even more!
por Hannah H
âą27 de jan de 2021
I loved getting to use some of these tools hands-on. Can't wait for future classes where we'll go more in depth.
por Arving M G E
âą17 de abr de 2020
Its a fantastic way to start learning about R, Python, Spark, R Studio. Watson Studio is such a great interface.
por Pratik S
âą11 de set de 2019
Course very thoroughly describes all the open-source tools for Data Science. Guided notes as well. Very helpful.
por Bishwajit P G
âą15 de jun de 2019
It helps me a lot to clear my doubt and help me to understand how to use various type of tools for data science.
por Gary T
âą4 de fev de 2019
I am learning so much; delivery method, content and structure of this course is intoxicatingly exciting and fun.
por Utkarsh Y
âą11 de jan de 2019
The course gives an introduction to the Data Science tools , namely Watson Studio, Zeppelin & Jupyter Notebooks.
por Victor A d S
âą14 de jan de 2022
Excellent course for those who are starting and don't know which tools to use and which ones to start learning.
por Promise U
âą5 de jan de 2022
Tâhis course provided with overall knowledge to push me to the right direction in my career path (Data Science)
por Zulaiqa R
âą17 de out de 2021
Quite easy to follow for complete beginners, also comprehensive in introducing all relevant data science tools.
por Prakash G
âą24 de abr de 2020
Good introduction about interactive notebooks, tools for data science. looking forward to become data scientist
por Richard B
âą23 de jan de 2020
At the beginning overwhelmed but the videos and interactive exercises helped me understand the tools presented.
por Muhammad A
âą1 de jul de 2022
this is great you will try hands on in cloud of ibm watson studio. it provide drag and drop modelling. awesome
por Darshan K
âą1 de jun de 2022
This is the best one. All tools required for the Data Science are covered extensively wit practical knowledge.
por JAI S
âą19 de mai de 2021
Via Course It was very nice to see tool we have for data science. How we can use them to play around with data
por Anand G
âą15 de abr de 2020
A great insight into the basics of some open softwares required to kick-start your journey into Data Sciences!
por Timothy R
âą19 de ago de 2019
The IBM Watson studio section needs an update, apart from that it is very easy to use and hosts great content.
por AMAN K
âą30 de jul de 2022
Iât really introudced me with variety of wonderfule softwares that makes implementation faster and effective.
por Rahul U G
âą13 de set de 2021
This course boosted my experience in data science field , thank you coursera for providing such good content.