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Tools for Data Science に戻る

IBM による Tools for Data Science の受講者のレビューおよびフィードバック

4.5
19,914件の評価
3,012件のレビュー

コースについて

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....

人気のレビュー

GC
2020年4月12日

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.

AJ
2020年9月15日

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.

フィルター:

Tools for Data Science: 2451 - 2475 / 2,985 レビュー

by Giani S

2020年1月18日

Presented a lot of unnecessary information with the sole purpose of selling IBM products.

by Saba A

2020年5月23日

too much commercial names and software which doesn't really add any knowledgeable value.

by Robert D

2020年2月21日

Some information is outdated so requires figuring out, nonetheless content is excellent.

by Alex S

2019年6月6日

The IBM Cloud interface did not match what was in the video. Videos need to be updated.

by Chattarin W

2020年7月27日

Some workshops are quite skeptical, thus making the learners loss their comprehension

by Aburvaa R

2020年5月31日

The explanations were not beginner level. Most of the things sounded Greek and Latin.

by Vasant C

2019年5月25日

ibm watson has to be updated. There are several updates it missing in current course.

by Ufra N

2020年10月9日

More like an advertisement for IBM tools rather than teaching fundamental knowledge.

by Ashwini K

2020年5月28日

The lectures are outdated with example .I would suggest reviewing it more frequently

by Karan S

2020年4月6日

The IBM materials are not up to date . It will be good if the materials are updated.

by Rafael M F

2020年4月5日

Great videos and lectures but some online resources were unavailable or not updated.

by Kateryna T

2020年2月16日

It requires to register in different tools outside the coursera to proceed further.

by Mohammad A

2020年8月10日

More Practical Use of Tools instead of their info would have been more appreciated

by Wesley v W

2020年1月29日

Videos are out of data and the navigation is different from video to new software

by Eric S

2020年1月20日

Videos need to be updated to reflect what is currently live in IBM Watson Studio.

by Muhammad D R

2020年10月22日

It's not as good as the first course. i think it really needs reading materials.

by Michel R

2020年3月23日

Interesting course that will introduce with the existing data science platforms.

by Prabanjan C

2020年1月22日

Tools seems to be outdated, videos are not aligned with the IBM's cognitive lab.

by Ettore M

2020年10月19日

In my opinion it should give more info on basics of languages/libraries usage.

by Ian M

2020年7月5日

I think this course was to focus on IBM Watson studio and not on data science.

by Maria J J A

2020年6月23日

It was not as engaging as I expected, too much theory and very basic practice.

by SHALIN S

2020年5月31日

week 2 was very unstructured and difficult to follow, refer to feedback given.

by Richard S

2020年2月19日

Good course but some of the videos are out of date as the software has changed

by Nour A

2019年11月11日

IBM Watson Studio sign up video should be updated accordingly with the updates

by Adhith R P

2020年4月3日

Unable to access Zepellin notebooks and could not do the practical excercises