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Open Source tools for Data Science, IBM

4,657 notes
575 avis

À propos de ce cours

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....

Meilleurs avis

par 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.

par 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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566 avis

par Pratap Balakrishnan

Apr 25, 2019

Covered a good range of tools in reasonable detail

par Yilak Fantaye

Apr 25, 2019


par 龚子轩

Apr 24, 2019


par 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).

par 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.

par 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.

par Matias Francisco Nogueira

Apr 22, 2019

It could use more practical examples, but great anyway.

par Prachi S. Biswas

Apr 22, 2019

It was difficult to get Watson Studio working initially. Faced many issues. And created almost 3 different accounts to get it working. Lost 3 days of time in that.

par Laura Catalina Guzmán Barragán

Apr 22, 2019

Muy completa la guía para empezar a implementar las herramientas.

par liushuang

Apr 22, 2019

open source tools can make me to code at evey where just only needing a comcupter.