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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: 1876 - 1900 / 3,161 レビュー

by Orlando D

2020年5月15日

pretty good experience , the IBM site changed their look. Was a little confusing to create notebooks but finally got it

by Setia B

2019年7月28日

The course is quite informative especially for those who are looking for cloud alternatives to do data science project.

by Juraj K

2020年5月30日

Overall, a good and useful course! Some things were a bit confusing, as if the course forgot about the previous videos

by Hunter I

2020年4月12日

Learned the basics, easier to use, some sections need updating especially Watson studio, overall learned decent amount

by Simon-Felix W

2020年5月20日

Good overview of the tools. But this might be a bit confusing to someone completely new to the tech/data/coding world

by José R C V

2020年4月2日

Some of the captures used in this course are not the same that applications show you, but it is not too much problem.

by Hemant S

2020年2月6日

Video content is a bit outdated so kindly update it or at least attach reading with it to let the students understand

by Liu Z

2019年2月7日

I like open source tools but the IBM watson studio, being an enterprise tool, does not very much fit into the course.

by daniel b

2021年2月13日

It is a very basic course, especially it is theoretical (something important to have a good foundation). Good course

by Javier F A

2020年2月28日

Unfortunately some of the videos are very old the videos are not paired with the reality found in Watson Studio. :(

by Gabriel O

2020年2月28日

Course was good at introducing software, however, the videos introduce an older version which can make it confusing.

by Prajwal T

2020年1月20日

i would give it a 5 but the videos are outdated and do not show the tools for eg Watson in its current updated state

by Brian V

2019年12月4日

The material is good, but needs to be updated to reflect the changes in the IBM engine used for the lab environment.

by Ilse B Z M

2018年12月13日

The videos are less friendly than the first course, but they are condensed, explicit and quick to put hands to work!

by Samantha S

2020年4月19日

This is a brief introduction, so there is not much detail, however it does provide an awareness of available tools.

by PAL S

2020年4月18日

course is based on old interface of IBM Watson. this will create confusion for the learner in understanding process

by Trần T M T

2020年2月23日

The video should be updated together with the IBM Watson. It is difficult to follow the lesson and do the exercise.

by Eric N

2019年4月30日

Would be even better if they had updated the content along with the update of the new Watson Studio user Interface.

by Shankar B

2020年6月4日

The instructions are a bit complicated for the rookies. Could be a little slower and simpler. Great work otherwise

by Mahesh L D

2020年5月26日

Learn new open source data science tool like Jupyter notebook, R studio. good practical hands on Jupyter notebook.

by nitin d

2020年5月22日

Great course to get the knowledge of different tools available for working with data science and machine learning.

by MD H H

2020年2月8日

Great Introduction to the Open Source Data Science Tools. But I would expect the tutorials to be easier to follow.

by Roberto M

2019年11月17日

They need to upload the new videos, because the videos are with the old version which is very difficult to follow.

by Prasanna K

2019年8月3日

it is very entry level course and lucidly explain. I would suggest to improve the difficulty level of this course.