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Open Source tools for Data Science, IBM

4.6
2,982 個評分
391 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.

篩選依據:

383 個審閱

創建者 Madhav

Feb 21, 2019

It's good course. Really helped to understand overall data science tool available . Hands on experience helped me to get a feel of how the tool works.

創建者 Kwabena Addae Sarpong

Feb 20, 2019

Very educational course. However, the interface on the videos are quite different from that of cognitive labs or IBM Watson. This made site navigation very difficult.

All in all, it was a good one. Learnt a lot.

創建者 peter humphries

Feb 20, 2019

A great introduction to the open source tools and notebooks.

創建者 Vagia Xevgeni

Feb 20, 2019

I did not know about Cognitive Class Labs. I was trying to install all these different packages in order to be able to work with them and make progress but I have always had difficulties. I am super excited that I finally realised that there is a much easier way to work with all these amazing tools on line without any problem :-) Thanks a lot Coursera and IBM for this amazing course :-)

創建者 Mamtha Vijay Satam

Feb 20, 2019

Loved it! The most useful aspect was the cognitive class cloud web environment, which truly allows you the flexibility and mobility to practice from anywhere. There is no need to download install software, so you can access the course, literally from any machine, in a seamless manner. That's a very neat feature for someone who is working.

創建者 Megha Gupta

Feb 20, 2019

The videos don't align with how the Watson Studio is operated. It took about 3 hours of complete wastage to get to know how the account works on IBM cloud. Kindly update the videos in accordance to the new interface.

創建者 Matthew McAllister

Feb 19, 2019

Although the intent was clear, and IBM Watson Studio is helpful, this course needs to be rewritten. The week 3 content is a repeat of what was completed in the first course of this certification. Additionally, the content of needs to be updated to reflect the new format and functions of IBM Watson Studio over Data Science Experience.

創建者 Wade Rodriguez

Feb 19, 2019

Great overview of the open source tools available to practice Data Science with as well as an overview of an Enterprise Version.

創建者 Abhishek Sholapur

Feb 19, 2019

Good for understanding open source tools.

創建者 Gilmar Neves

Feb 19, 2019

I really enjoyed this course! I had a very poor knowlegde of Zepplelin for instance, now I even consider using that tool more often! Besides, learning how to better use Jupyter is a great experience worthy the time!