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学生对 IBM 提供的 Open Source tools for Data Science 的评价和反馈

13,645 个评分
1,773 条评论


What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....



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!!!!


Feb 01, 2019

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.


251 - Open Source tools for Data Science 的 275 个评论(共 1,778 个)

创建者 Jamiil T A

Oct 06, 2018

Awesome , i love what an incredible online open soure for data scientist. Let's do something.

创建者 Mauro M

Oct 17, 2019

loved this module . I enjoyed that it was very hands on and fun. cant wait for the next one.

创建者 P M N

Jun 25, 2019

Super Tools and Techniques and Cloud Infrastructure is good. IBM watson Studio is beautifull

创建者 Govardhana

Jun 08, 2019

very nice course. It will introduce all opensource tools and platforms used for data science

创建者 Kelli A

May 15, 2019

I enjoyed the hands-on activities in this course. Looking forward to more exciting ventures.

创建者 Carlos P

Apr 15, 2019

A very good course for learning about tools required for Data Science and basic level usage.

创建者 Andrew S

Dec 11, 2019

Interesting to see some of the main tools I will be using. It makes it all a bit more real.

创建者 R P K

Jun 21, 2019

This is really a well-organized course. Data science aspirant should enroll in this course.

创建者 R A N

May 01, 2019

all about basics of languages Pyton jupitor notes, Zepplin, R studio and IBM watson studio

创建者 Nguyen V L

Mar 04, 2019

The course is good. However, there are some lessons whose links/platform should be updated.

创建者 Keelan K

Feb 18, 2019

Great intro to the various open source tools in a well structured and easy to follow format

创建者 Fitsum M

Jan 05, 2019

You will be acquainted all you need data science tools in the market. Perfect and organized

创建者 Somaiya J G

Nov 06, 2018

Amazing, before this course I was only aware about Jupytor notebooks, this helped me a lot.

创建者 Mo R

Oct 27, 2019

This course is a useful introduction to useful tools for applying data science techniques.

创建者 Moseji E B

Aug 19, 2019

This is a very good course, provides great alternatives to traditional data science tools.

创建者 Alfonso D l R

Jul 23, 2019

Very good course, useful to understand all the tools a data scientist use in the IBM cloud

创建者 Sadiq S H G

Mar 31, 2019

Very Good Course.

I would like to thank the lecturers.

I also want to thank (Coursera- IBM).

创建者 Javier G H

Dec 29, 2018

Good course in general. It's great to have access to so many free tools, including watson.

创建者 Rajib M

May 13, 2019

Very nicely explain and brief information related to Open source tools for Data Science.

创建者 Ferenc F P

Feb 26, 2019

Good introductory course to different open source tools which are used by data scientist.

创建者 Jagajith M K

Aug 09, 2018

Beautifully explained the working of the Jupyter Notebook, RStudio, IBM Watson, Zeppelin.

创建者 Arun P

Feb 14, 2020

Its a very good informative course for different types of open source data science tool.

创建者 Shawn B K

Jan 03, 2020

Was one of the greatest insights on the fundamental tools making Data Science a reality.

创建者 Nabiyev B

Dec 02, 2019

I've learnt many things with this course. Now I feel ready to learn Data Science deeper.