Open Source tools for Data Science

( 485 Reviews )

Created by: Polong Lin

Quality Score

Content Quality

Video Quality

Qualified Instructor

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Course Depth & Coverage

Overall Score : 98 / 100

Course Description

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.

Time: 7h

Instructor Details

Polong Lin

4.9 Rating
485 Reviews

Polong is a Data Scientist at IBM, with a focus on data science advocacy and partnerships. He is a co-founder of a Data Science Bootcamp at IBM and currently leads Canada's largest meetup group for data science in Toronto.

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Reviews

4.9

485 total reviews

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By JoÃƒÂ£o C S on 9-Aug-19

Easy to learn and great tools that I had no idea existed until this course!

By Alejandro D on 19-Nov-18

Course content was good. May want to consider updating some of the videos as some of them do not match with what the IBM UI looks like now.

By Garrett S on 18-Nov-18

great!!!

By Muhammad F D on 7-Jul-18

Adequate time and information (particularly step by step with screenshots for setup of notebook etc.) was provided in the video and related printed material. This is unlike other courses that I've take so far. So definitely appreciate the instructors and others who helped in creating the material. Although some of the DSX and Dev Cognitive Lab screenshots and steps were outdated due to the new version available, but the helpdesk of IBM was quick to respond.

By Quinn C on 16-Nov-18