CourseraArtificial IntelligenceFree courseCertificate

Open Source tools for Data Science

4.9

485 reviews

Created by: Polong Lin

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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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4.9

485 reviews in total

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By Fernando S on 26-Oct-19

Watson and Skill Net are massively complex tools that are hard to use or initiate. That one needs to study these tools for the sake of just using them is a caveat. These tools will go away / be superseded by something else, and this study time is lost. Hope to get some deeper understanding of Data Science soon..

By Anette F on 17-Sep-19

instead of 5 minute snippets of a handful of data science tools, it would have been more practical to focus on one and spend some time on it...i'm really disappointing in this series

By Ayushi G on 12-Sep-19

These materials should be updated to the current Watson work environment

By Kefang A Y on 12-Sep-19

Videos and instructions do not sync with new IBM Watson Studio.

By Abhimanyu S on 12-Sep-19

Altough it may be understandable, this is just ads for IBM's products. So it's like if I paid to see ads.

By He Q on 24-Aug-19

it is indeed good

By mohamed a on 23-Aug-19

Awesome course.Interesting Topics.Awesome Teaching.Thank you.

By Jamiil T A on 23-Aug-19

Really helpful in terms of getting a knowledge about the main core technologies used in Data Science.I would recommend this course to the absolute beginner.

By Uzwal G on 23-Aug-19

Muito bom

By Cameron on 22-Aug-19

This is the first course I have completed on Coursera. Overall it definitely meets its objectives. It is written for beginners and it indicates so in the course description. Yes some of the materials are a bit out of date but I do not find anything impeding. At times, for examples, during the setup phase for the tools, I felt stuck and the fact there was no one around to answer questions made it more challenging. However, part of the learning is to deal with uncertain situations and prepare us for the future. I did feel more satisfied when I finally overcame the challenge.

By Paulo R R on 20-Aug-19