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Open Source tools for Data Science, IBM

4.6
Оценки: 3,041
Рецензии: 398

Об этом курсе

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....

Лучшие рецензии

автор: 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.

автор: 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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Рецензии: 391

автор: Shashank Raj

Feb 23, 2019

An awesome experience

автор: XIYU YANG

Feb 23, 2019

I really enjor this process.

автор: Praveen Kumar

Feb 23, 2019

Developed preliminary understanding of open source tools used in data science. Good for a start.

автор: Usama Liaquat

Feb 22, 2019

Well defined

автор: Roshan Kumar

Feb 22, 2019

It's good to start.

автор: Paren Arzoomanian

Feb 22, 2019

Very rushed and brief explanation

автор: Simonisa N Selmon

Feb 22, 2019

Great course for becoming familiar with data scientist tools. Highly recommend for beginners.

автор: Magnus Billups

Feb 21, 2019

Nice breakdown of some of the tools used for Data Science.

автор: 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.

автор: 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.