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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
20,739件の評価
3,190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....

人気のレビュー

RR
2019年4月24日

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!!!!

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: 1976 - 2000 / 3,163 レビュー

by Annie W A

2020年5月11日

It's a very interesting course once you master how to write your codes and us Markdowns.

by Gabriella P

2019年8月12日

Very basic insight on tools. It's only good if you have zero experience/knowledge on it.

by Ahmed M A S

2019年6月27日

Great Introduction to various tools. Very suitable for someone who is just starting out.

by Valentin F

2020年12月16日

I mark it as a 4 only because a lot of the content of this course is really IBM centric

by Tuna M

2019年3月23日

It would better if the course is updated with the latest interface of IBM Watson Studio

by Bartosz B

2019年3月12日

Good clarification of tools. Maybe some emphasis on how those tools will work together.

by Ige T

2020年9月12日

Great course if you want to learn about the tools necessary in the data science world.

by Jose E J

2020年9月11日

A few of the week 4 videos were a little difficult to follow the information provided.

by Mohammed H M A

2020年6月22日

very nice course but need more improvement in term in that it is dealing with beginner

by Giorgio M

2020年4月24日

Interesting

Straight to the point

Maybe some more example on Watson would be appreciated

by Ashique B Y

2020年4月4日

Some course video and links should be updated, i assume. Overall great course. Thanks.

by Anand s

2020年2月27日

It is very helpful course to learn basics of open sourse tools or IDE for data science

by Borsali F

2019年11月14日

Good for knowing Open Source (and online / no need to download) tools for Data Science

by Vasu N

2019年7月11日

Basics of Jupyter Notebook were clear but zepplelin notebook was not that much cleared

by Héctor C

2019年3月18日

Good course and good explanations although an update on the content would be welcomed.

by Fayaz O

2019年2月7日

Good overview of the different web-based platforms available to practice data science.

by Ewa H

2018年9月12日

Great course. One star less for all the difficulties with logging in to Watson Studio.

by Saju F

2020年5月22日

good course for the beginners who want some hands-on experience in data science tools

by Srinivasa R S R

2020年2月4日

Course was well laid out. Systematic and detailed. helps any new bie to Data Science.

by Eugénio M

2020年9月24日

Some videos are not very clear, the sound is awful and the sequence is not adequate.

by Ninad M K

2020年7月5日

This course basically explain the tools for data science.And it is pretty much cool.

by Gisella B

2020年2月25日

Hay videos desactualizados en la semana 3 y me costó poder seguir las instrucciones.

by Anthony L

2020年1月20日

High-level introductions of the common data science tools and analytics environment.

by Xiwen L

2019年10月29日

Nice intro to different tools. If only it gives more examples or exercises to drill.

by Nathan P

2019年10月10日

You will not really be using these tools in this course, they are simply introduced.