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.
24 de abr de 2019
To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!
por Reza J•
24 de nov de 2021
It was really useful for me. I got familiar with most of the tools for data science that I've never heard about them.
por Lina V S•
5 de jun de 2021
Excellent contents and hands on practices with basic features.
Thanks a lot for facilitating in very reasonable price!
por Maximiliano E•
19 de fev de 2020
It gave a good basic insight into the tools and the assignments were fun. So far I am enjoying this course very much.
por Pavel P•
4 de set de 2019
Wonderful explanation of basics of open-source tools. Really like. The best is the homework at the end of the course.
por Vijayalakshmi K•
24 de jun de 2019
Though slightly technical for beginners, considering the learning required to complete the course, it is really good.
por Maneesh H D•
8 de mar de 2019
Good introduction to a variety of tools. Watson studio is really a great resource for learning the data science tools
por Loure P•
17 de jul de 2020
Whew! This was the BEST! I learned how to code in Jupyter Notebook using Python. Now I know what these tools are!
por Ankit R•
8 de mai de 2020
Get to know about resources offered by IBM cloud and basics of notebook.
Happy with the course content for beginners.
por Utkal b•
19 de jan de 2020
good. educator must show each step how to open jupyter notebook. and also provide the link of that which is missing
por Bora Ö•
7 de jan de 2020
I'm happy to learn those wonderful tools. They look really helpful and funny. I can't wait to explore more and more!
por Allakhverdov R•
13 de jun de 2021
Excellent course, good presentation of the material, as a beginner I began to understand Data science more. Thanks!
por Anandhu H•
3 de mai de 2021
Great course explaining the tools used in data science. introduced Rstudio, Jupyter notebook, github, watson studio
por Hrucha M•
21 de abr de 2020
Gives a basic, yet good understanding of the available tools online without having to download any of the software.
por Munganda P K•
29 de set de 2019
This course was just Amazing it gave me a quick tour about how to use IBM data science Experience and its notebooks
por Adrian R•
3 de ago de 2021
There is a wide range of tools available for data analysis. Much of these were dicussed in details in this course.
por Bruce M•
31 de jul de 2021
The course is well put together, it introduces learners to the world of data science in a manner that is engaging.
por Dustin E•
25 de jun de 2021
A very informative course, and a great introduction to a ton of tools to use in data science.
Thank you very much!
por Daksh G•
1 de mar de 2020
This course has laid good foundation to use and leverage the open source tools needed for practicing data science.
por sarang j•
29 de dez de 2019
The course is perfectly designed to provide an overview of the state-of-the-art open source tools in data science.
por Mukul B•
13 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•
7 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•
9 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•
20 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•
8 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•
19 de mar de 2020
De maneira rápida e didática expõe as ferramentas abertas disponibilizadas pela IBM, na área de Ciência de Dados.