ED
Aug 14, 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.
MO
Apr 17, 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.
By Eric C Q
•Jan 18, 2022
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.
By Gerardus H P
•Dec 21, 2022
I learn a lot about technical things in Data Science through this Course.
Perhaps updating the lesson materials and also the current updated tools would assist the participant to learn better.
Thank you.
By DANILO N V
•Jun 28, 2020
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.
By Jakob Z
•Feb 8, 2024
Great explanations, appealing presentation, I'm just very grateful this kind of quality education is accessible over the internet. Great resource for anyone that has serious interest in Data Science!
By Deleted A
•Jul 24, 2020
ONE CAN ACQUIRE BEAUTIFUL KNOWLEDGE TO THE TOOLS USED BY DATA SCIENCE COMMUNITY ALONG WITH APPLING THEIR SKILLS ON PRACTICAL ASSIGNMENTS AND PROJECTS ON THE USEFUL PLATFORMS ,
ITS WAS A NICE COURSE .
By paranjothi k
•Aug 28, 2023
It's been a pleasure for doing this course at IBM via Coursera. Excellent experience on this course. Projects are good to do and peer to peer submission is good. I like to go for other course on it.
By LALIT K
•Aug 30, 2020
This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.
Thanks !
By KM M
•Jun 5, 2023
Es un curso excelente, muy bien explicado y te va llevando de la mano. No requieres amplios conocimientos, porque te explican paso a paso cada tema que se aborda.
muchas gracias por la oportunidad!
By Mari-stella
•Mar 1, 2020
Good to overview web-based data analyzing tools like Jupyter notebook, Zeppelin notebook and R studio IDE by getting access to virtual environments like Skills Network Labs and IBM Watson studio.
By Ahasanul H
•Apr 18, 2021
All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.
By Juan C S G
•Jun 4, 2021
Great course! The course gives you a good overview about the tools and technologies of data science. The course also gives the opportunity to practice in the environments of the main tools.
By AckoGon
•Dec 23, 2020
Provided an encompassing introduction to the variety of Open Source and Commercial tools available to conduct Data Science, and great interactive labs to get started working with those tools!
By Juan M C C S
•Aug 20, 2020
Es un buen curso para esclarecer cuales son las herramientas que se deben dominar en la profesión. Funciona bien como introducción practica a calentar motores para ver que es lo que se viene.
By shiva k P
•Dec 16, 2019
The videos in this course are outdated and the content in videos doesn't match with the reality because the videos are old and Watson studio got updated. Course content must be updated ASAP.
By Evgeny V
•Sep 18, 2019
Useful, quite a bit of practical. I've learned a lot of new tools and possibilities to use them for free; although based on IBM infrastructure, they're open source and may be used everywhere.
By Pablo M
•Jun 4, 2019
Does a good job of showing areas to obtain access to use Python, R, and Scala. You can however tell they're pushing IBM products when in reality there are many other options such as Anaconda.
By Sujit K
•Jun 21, 2020
I could learn how one can use IBM Watson in the entire Life cycle of Data Science and automate every mundane task which ultimately speeds up the Data Science workflow to a significant level.
By Orestis P
•May 2, 2020
very good structured and easy explained. most important: you can practice the basics of a (juoiter,zeppelin and RStudio IDE) lab while the instructor is giving an overview of the environment
By Harsh N M
•Dec 18, 2019
Great course to gain knowledge from.One must spend a good amount of time in order to learn the basic tools of data science and thus won't find it difficult to work in data science in future.
By Tylar M H
•May 23, 2022
Lots of great information. Seems to be an issue with accessing Watson and completing the last assignment. Instructors allow you to use a quick and easy fix by submitting it through GitHub!
By Todd J
•Sep 19, 2018
Another Great class. Really introduces you to new tools that out there, not just for Data Scientist to use, but for anyone that has the use for R or Python coding etc. Loved the course.
By Fatih
•Apr 13, 2022
It contains very useful information that can be learned on the way to be a giver. I learned many tools from creating a repository in git hub to writing a python topic in jupyter notebook.
By Daniel L
•Oct 19, 2019
Impressed by those notebooks or development environment, and its availability on Web; very practical to document the method used in a data study, integrating programming with documenting.
By Samuel G B
•Feb 8, 2021
Passo a agradecer a todos os professores do Instituto da Educação pelos conhecimentos que me transmitiram e que foram importantes no desenrolar deste trabalho. Parabéns a IBM e Coursera.
By Joshy J
•Sep 7, 2019
Good Course. Help you understand the most used open-source tools for Data Science. It also introduces IBM Watson Studio which is the best cloud-based collaborative tool for Data science.