MO
Apr 18, 2023
the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.
GC
Apr 13, 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.
By Sayyed M A
•Jan 16, 2024
This course is really helpful if you are looking to learn about the basic tools which are commonly used by Data Scientists
By Harshit B
•Jul 8, 2022
This course is very good for those who are new to data science as it gives information about all tools used in this field.
By Abdullah N K
•Jul 25, 2021
Got to learn many new things in the field of Data Science which will be the next boom in the market in the upcoming yers.
By Lutz W
•Feb 7, 2021
Getting an overview of all the tools available is very handy for dicussions with Data Scientists and for job applications!
By Yossakorn K
•Aug 9, 2020
This course makes me know various tools in data science and how to use them appropriately for each specific way of theirs.
By Trupti r p
•Apr 6, 2020
Well a great course by IBM. We learned about the open source tools like Jupyter Notebooks, Zeppelin notebooks and RStudio.
By Eric G
•Oct 2, 2019
Nice overview of different data science tools, though at times it can feel like an advertisement for IBM's cloud platform.
By hassan s
•Aug 11, 2019
Good Course to have a complete overview of tools to use. This have build my confidence and took me in the right direction.
By Rajeshree S
•Jan 2, 2019
Good introduction to the various platforms for practicing data science. I liked the peer graded assignment of this course.
By Toivo M T
•Oct 24, 2018
Great Introduction into some of the tools one would use as a Data Scientist. I love the subscription to IBM Watson Studio.
By NALLELY Y
•May 6, 2024
Considero que el curso brinda bastante conociminento con un plus de que se puedan realizar los ejercicios con un bootcamp
By Ambrish T
•Jul 14, 2023
Great for learning all types of Data Science tools and to work on Jupyter notebooks. You will learn a lot more than this.
By Stephane M
•Mar 22, 2021
Very nice and progressive course giving a good understanding of open sources tools and a good overview of IBM tool suite.
By Lujan F
•Mar 20, 2021
Muy buen curso para conocer las herramientas no solo de Data Sciense en general, si no lo que nis ofrece IBM en la nube.
By Andres A
•Apr 22, 2020
Excellent Course to have a better understanding of the environment, Languages, and visualization of the different tools.
By Mohamed G F
•Feb 12, 2019
if you want to gain experience about a nice online tools for data science field
then
that's the place you should be there
By Muhamad F
•Jan 25, 2025
I now somewhat understand the biiger picture. the module cover a complete knowledge of neccesary tools for data science
By Leonard B
•Mar 30, 2020
This course was tough but good. I'm excited to learn a new skill, one I hope will increase my worth in the near future.
By Andrej K
•Jan 24, 2023
I like this course. It was really hard to put all the things to my head. But finally after all the lab works I did it!
By Robert B
•May 24, 2021
Very Well done.
Items were explained well and the projects and tests were relevant to the work covered in the lessons.
By Arido R
•Sep 14, 2020
thank you for the great course, it opened my mind on what tools are available and commonly used in data science world.
By Arthur D C
•Apr 13, 2020
Very useful labs and instructions. Some of the Watson Studio part is a outdated since the interface has changed a lot.
By Abhaya K S
•Feb 17, 2020
Good to start with the basics about the open-source tools which are ready to use for exploring the data science field.
By TRIVENDRAM P
•Jan 19, 2020
I liked the course very much and it is very helpful to understand all the open source tools to practice data science.
By Srikanth P
•Dec 9, 2018
One thing, the promo code did not work for me. Most of the options on Watson studio are new. Please review. Thank you.