강좌 소개
최상위 리뷰
RR
Apr 25, 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!!!!
MA
Nov 29, 2019
This course helped me finding open source tools. I knew about Jupyter Notebooks, but I also got to know more tools. Further, I got IBM subscription too, it would definitely help me in my work.
Tools for Data Science의 2,730개 리뷰 중 176~200
교육 기관: Orestis P
•May 02, 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
교육 기관: Harsh N M
•Dec 19, 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: Joshy J
•Sep 07, 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.
교육 기관: Thong T
•Apr 29, 2020
Thank this course for letting me know there are online tools for data science, which help collaboration anytime and anywhere. It is trusted because it is from IBM, a well-known company.
교육 기관: Berkay T
•Aug 28, 2019
Brief introduction to what cloud platforms available to execute coding in different kernels. You also get an idea on how you will be analyzing data with what sort of tools and outcomes.
교육 기관: Colamba A D M N C K
•Aug 26, 2019
Pretty nice introduction. A short course, don't expect anything too technical, but i think in a world of heavy and long MOOCs, its not a bad thing to start off with a lightweight one :)
교육 기관: TooMuchSauce
•Oct 18, 2019
Introduces us to some really nice tools and also IBM Watson cloud service which has a lot of resources and IBM doing a service to the community by providing you many of those for free.
교육 기관: Humayun O
•Jun 16, 2020
Great Course and Great Tools assessment for further advancement into data science. I believe that tools covered were great as well as good teaching. More so to the point and practical
교육 기관: Sutapan P
•Dec 10, 2019
Very detailed course with great videos, examples, study material and hands on lab. Also I love the concept of peer graded assignment, gives me opportunity to see how others are doing.
교육 기관: Shrey S
•Jul 17, 2019
A very good introduction to the various data science tools. Very helpful and easy to understand even for non coders. The exercises mentioned make you comfortable with the environment.
교육 기관: Sirwan K
•Feb 17, 2020
This was my first time to get to know open-source data science tools and it gave me a general view of the same. of course, self-study is a must to get more familiar with these tools.
교육 기관: Deleted A
•Sep 03, 2019
The course is too good.After attending the course, I am having great understanding on jupyter notebook.Also, able to make a small assignment on jupyter notebook on IBM WATSON STUDIO.
교육 기관: Rene B
•Jul 28, 2019
I thoroughly enjoyed taking this class. The seamless platform with video and hands-on exercises created an engaging course. Also, the peer review process was extremely rewarding.
교육 기관: Nhan T N
•Feb 19, 2019
This Course is nice for overview of open tools including free and premium coding environment that support user so much in studying, practicing and developing code for data science.
교육 기관: Max G
•Jan 29, 2020
Good for pointing you towards free open source tools to practice developing in for both Python and R. Also has a nice introduction of how to use some basic feature of these tools.
교육 기관: Md. A A J
•May 03, 2020
This course creates a friendly environment to learn Jupiter notebook, Zeppelin Notebooks, RStudio and IBM Watson Studio step by step.
Course materials and assignments are great!!
교육 기관: Derrick K
•Mar 07, 2020
I was really excited to dealing with IBM Watson Studio through the Internet. Also, given IBM Badge made me feel very worthwhile about learning. Thanks for this practical lecture.
교육 기관: Luis H
•Jan 09, 2019
The information is clear and allowed me to complete all the activities, just be aware that the IBM tool is not upgraded in the course so research and web navigation is mandatory.
교육 기관: KUDA T C M W
•Oct 14, 2019
Once I enrolled in this course I had no idea about Data Science tools. This course is the best for who don't know anything in Data Science tools and very beginners in this area.
교육 기관: Haywood N
•Aug 19, 2018
An invaluable hands-on provision. I feel as though I am adequately hatted with the basic skills and equipped with the efficient tools for my next steps in pursuing Data Science.
교육 기관: Margaret M G
•Apr 20, 2020
intimidated to learn the analytics tools and worried i was too much of a beginner to take this course on. It was very easy to follow the steps 1 by 1 to learn these tools.
교육 기관: Rudolph M N
•May 16, 2019
I use a chromebook and these tools were very helpfull for someone who is new to the discipline and cannot reliably boot a python terminal or R studio on his primary machine.
교육 기관: Abdul H
•Jun 09, 2020
This was a fantastic course. I managed to learn a vast set of skills in both Skills Network Lab and IBM Watson studio. I recommend Coursera to all of my friends and Family.
