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Tools for Data Science

IBM via Coursera


In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them.

You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools.

Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations.

This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala.

Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.

Taught by

Polong Lin


1.3 rating, based on 3 Class Central reviews

Start your review of Tools for Data Science

  • Anonymous

    Anonymous is taking this course right now.

    There are big problems with course, because videos are almost old for IBM Watson Studio, the platform were updated long time ago and no-one correct the instructions and videos. Moreover payment are not refundable, so it was just waste of money and time. Because of the old instructions you can't pass the assignment and earn certificate
  • Anonymous

    Anonymous completed this course.

    The class was sloppy, poorly organized, failed to provide any learning materials, failed to teach foundational concepts, and was overly-focused on IBM products. The worst online class I have ever taken.
  • Anonymous
    This class is like a laundry list of tools. While I could see the utility in awareness of tools in the field, it's difficult to retain anything useful. Also, the class is very focused on IBM products.

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