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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
20,277件の評価
3,093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

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 / 3,068 レビュー

by SHUO T

2020年10月3日

Week 2's quality should be improved, make it more friendly for beginner

by Juan P E C

2020年6月16日

Good course, explanation about Git Hub could have been more detailed...

by Shuyuan C

2019年6月17日

Very interesting course and you can learn a lot about Jupyter Notebook.

by Ahmad S

2020年3月6日

Please update the video content to suit the updated IBM Watson Studio.

by alexander t

2019年6月30日

Gives the idea of where to go and how to start using some tools for DS

by Karim A

2020年1月5日

Please update the vides to reflect the same environment as IBM Watson

by Filipe S M G

2019年8月18日

Interesting to know the available tools (although, a bit repetitive).

by Samantha R

2019年7月8日

Nice starting point to learn how to use a notebook in a simple manner

by Joe A

2019年6月29日

Good introduction to various tools available to data science novices.

by David P

2019年6月13日

An exciting start to the actual work of data science using IBM tools.

by Humayun A

2019年4月20日

need to explain what we will learn from this week materials and quiz.

by Navaneetha K R

2019年4月4日

Course gives a overall view of how to use various data science tools.

by asher b

2018年9月14日

Succinct high-level overview. Still need more courses to get skilled.

by kwaku b

2020年7月18日

It needs more real-world or direct workplace data sources to work on

by Robert W

2020年3月4日

Excellent course. It was perfectly paced, the videos were excellent,

by Georgios G

2019年10月25日

The IBM videos for using the IBM experience module should be updated

by Jeffrey K

2018年9月4日

Why not just write with a Jupyter notebook from your own web browser

by OLanrewaju J I

2020年7月26日

Insightful thou though but all the effort and extra reading pay off

by Rubén Q L

2020年4月15日

Skills acquired from tools like, Jupyter notebooks, R, Scale, Spark

by Prateek G

2020年3月18日

Good course on introduction of various tools used for data science.

by Matthew A

2019年2月8日

Pretty comprehensive. Good to get familiar with open-source tools.

by Imron D

2020年9月1日

I've learned a lot despite the poor quality of most of the videos.

by E. R " A

2019年9月19日

I love tools. I love Open Source tools for Data Science even more!

by Felix B

2019年3月4日

Very nice introduction which definitely made me want to know more.

by Peter A

2018年11月29日

Good course but some of the IBM Cloud material needs to be updated