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Open Source tools for Data Science, IBM

4.6
Оценки: 1,595
Рецензии: 200

Об этом курсе

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....

Лучшие рецензии

автор: 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.

автор: HN

Aug 19, 2018

An invaluable hands-on provision. I feel as though I am adequately hatted with the basic skills and equipped with the efficient tools for my next steps in pursuing Data Science.

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Рецензии: 188

автор: Goran Marinovic

Dec 14, 2018

Course material needs to be updated to reflect changes on external sites used in it (Watson Studios).

автор: Taha mansoor

Dec 14, 2018

Should have elaborate little bit more about softwares and basic coammands.

автор: Ilse Beatriz Zubieta Martínez

Dec 13, 2018

The videos are less friendly than the first course, but they are condensed, explicit and quick to put hands to work!

автор: Avoaja Ugochukwu charles

Dec 13, 2018

Very informative course, It offers a gentle introduction to machine learning. And IBM has provided tools worth thousands of dollars for free to learners.

автор: Ivo Marcelino

Dec 12, 2018

Very good overview of Tools and platforms to use!

автор: Oludayo

Dec 12, 2018

Much more practical.

автор: Michael Brooks

Dec 12, 2018

Great overview and application of some of the tools required for data science projects.

автор: A. Scott

Dec 12, 2018

The Coursera videos to IBM Data Science Experience (now IBM Watson Studio) are outdated and therefore lead to unnecessary confusion and, to a point, obstruction of completing the course. The end-of-course project was 10x easier than figuring out how to set up a Jupyter Notebook in IBM Watson Studio. I guess you could say it's a sadistic way to weed people from the course! Please make the updated videos an immediate priority. Otherwise, the obtusely simple (enter code "1+1" to represent addition) videos are irrelevant.

автор: Mahesh Bamane

Dec 09, 2018

Course content needs to be updated in case of IBM Watson, there's so much buzz about it. Video tutorials are absolutely inconsistent with the actual UI of the tool.

автор: Srikanth Pushpala

Dec 09, 2018

One thing, the promo code did not work for me. Most of the options on Watson studio are new. Please review. Thank you.