Chevron Left
Volver a Open Source tools for Data Science

Open Source tools for Data Science, IBM

4.6
5,364 calificaciones
661 revisiones

Acerca de este Curso

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....

Principales revisiones

por RR

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!!!!

por 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.

Filtrar por:

653 revisiones

por 陳麒元

May 21, 2019

Course material didn't update for IBM Watson Studio, makes learner spent super huge time to check the difference between material tutorial and real website.

por Mathilda May Brain

May 20, 2019

This course provides a good introduction to tools that can be used for data science (e.g. Jupyter notebooks, IBM Watson Studio). Packed with information and good introductory lab exercises to help students familiarise with the tools. On the other hand, I hope the parts mentioning IBM Data Science Experience are updated to mention IBM Watson Studio, because it did get a bit confusing in certain parts of the course. Aside from that, great course!

por Nurullah Kuş

May 20, 2019

The course video contents and the tools versions are not the same.There are some significant differences .Videos should be updated.In general the course is a good fundamental course about the tools.

por Rahul Reddy

May 20, 2019

Perfect course for the begenners .It introduces to different work spaces.Watson studio is awesome

por ozan araz

May 20, 2019

It gave a good basis on what kind of tools are being used for data science.

por Haocheng wang

May 20, 2019

IBM quality

por Venkat

May 20, 2019

Gives a good overview of various open source tools for data science

por Spyros Vasileiou

May 19, 2019

a bit of difficult to connect to Data Science Experience

por pranav v

May 18, 2019

please provide more videos on how to work in IBM watson studio.i had a hard time

por Juan D. Pineda-Jaramillo

May 18, 2019

This course explores the IBM data science lab in a brief way.