课程概述
热门审阅
BF
Jun 13, 2024
Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!
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.
551 - Tools for Data Science 的 575 个评论(共 4,932 个)
创建者 Andres A
•Apr 22, 2020
Excellent Course to have a better understanding of the environment, Languages, and visualization of the different tools.
创建者 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
创建者 Muhamad F
•Jan 24, 2025
I now somewhat understand the biiger picture. the module cover a complete knowledge of neccesary tools for data science
创建者 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.
创建者 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!
创建者 Robert B
•May 23, 2021
Very Well done.
Items were explained well and the projects and tests were relevant to the work covered in the lessons.
创建者 Arido R
•Sep 13, 2020
thank you for the great course, it opened my mind on what tools are available and commonly used in data science world.
创建者 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 Some of the Watson Studio part is a outdated since the interface has changed a lot.
创建者 Abhaya K S
•Feb 16, 2020
Good to start with the basics about the open-source tools which are ready to use for exploring the data science field.
创建者 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.
创建者 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.
创建者 imtiaz A
•Apr 9, 2022
best with course i will be learn the tool of data science .By this course jupyter note book use and many the library
创建者 Reza J
•Nov 24, 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.
创建者 Lina V S
•Jun 4, 2021
Excellent contents and hands on practices with basic features.
Thanks a lot for facilitating in very reasonable price!
创建者 Maximiliano E
•Feb 19, 2020
It gave a good basic insight into the tools and the assignments were fun. So far I am enjoying this course very much.
创建者 Pavel P
•Sep 3, 2019
Wonderful explanation of basics of open-source tools. Really like. The best is the homework at the end of the course.
创建者 Vijayalakshmi K
•Jun 24, 2019
Though slightly technical for beginners, considering the learning required to complete the course, it is really good.
创建者 Maneesh H D
•Mar 7, 2019
Good introduction to a variety of tools. Watson studio is really a great resource for learning the data science tools
创建者 Michael S
•Dec 17, 2024
I like this course very much, because the material is so great both easy to understand and to work with. Great work.
创建者 Loure P
•Jul 17, 2020
Whew! This was the BEST! I learned how to code in Jupyter Notebook using Python. Now I know what these tools are!
创建者 Ankit R
•May 8, 2020
Get to know about resources offered by IBM cloud and basics of notebook.
Happy with the course content for beginners.
创建者 Utkal b
•Jan 19, 2020
good. educator must show each step how to open jupyter notebook. and also provide the link of that which is missing
创建者 Bora Ö
•Jan 7, 2020
I'm happy to learn those wonderful tools. They look really helpful and funny. I can't wait to explore more and more!
创建者 Allakhverdov R
•Jun 13, 2021
Excellent course, good presentation of the material, as a beginner I began to understand Data science more. Thanks!
创建者 Anandhu H
•May 3, 2021
Great course explaining the tools used in data science. introduced Rstudio, Jupyter notebook, github, watson studio