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Open Source tools for Data Science, IBM

4.6
4,711 個評分
579 個審閱

課程信息

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....

熱門審閱

創建者 SH

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.

創建者 TJ

Sep 19, 2018

Another Great class. Really introduces you to new tools that out there, not just for Data Scientist to use, but for anyone that has the use for R or Python coding etc. Loved the course.

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570 個審閱

創建者 Prasad Nerella

Apr 25, 2019

Good start with familiarizing with Data Science Tools :)

創建者 Amy Peniston

Apr 25, 2019

A good overview of popular data science tools. In a couple of the videos, I would have liked there to be more original content, rather than just reading the text off of the websites. Still, the course gave me a quick idea of what is out there. Still lots to learn.

創建者 Riyaz Roshan

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!!!!

創建者 Aditya Mishra

Apr 25, 2019

Step by step directions enabled me used Jupiter notebook.

創建者 Pratap Balakrishnan

Apr 25, 2019

Covered a good range of tools in reasonable detail

創建者 Yilak Fantaye

Apr 25, 2019

Fantastic!

創建者 龚子轩

Apr 24, 2019

Excellent!

創建者 Marnilo C

Apr 24, 2019

I found it to be a bit confusing when the course materials for older versions of the tools were used to teach the current versions of the tools. There were differences beyond just the name (Data Science Experience vs Watson).

創建者 Jason Lee

Apr 23, 2019

The IBM platform website looks to be updated. it would help if the videos were also updated so there is less confusion for students when they try sign up for an IBM account. Looks like a few students had issues from the discussion forums.

創建者 Derrick Kim

Apr 23, 2019

I was really excited to dealing with IBM Watson Studio through the Internet. Also, given IBM Badge made me feel very worthwhile about learning. Thanks for this practical lecture.