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IBM: Data Science Tools

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Rating

4.4 stars

Duration

7 weeks

Pacing

Self-paced

Pricing

Free

IBM: Data Science Tools
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Learn about the most popular data science tools, including how to use them and what their features are.

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About this course

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
In this course, you’ll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.
With the tools hosted in the cloud, you will be able to test each tool and follow instructions to run simple code in Python or R. To complete the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio on Cloud and demonstrate your proficiency in preparing a notebook, writing Markdown, and sharing your work with your peers.
This hands-on course will get you up and running with some of the latest and greatest data science tools.

At a Glance:
Institution: IBM
Subject: Data Analysis & Statistics
Level: Introductory
Prerequisites:
None
Language: English
Video Transcripts: اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文
Associated programs:
Professional Certificate in Data Science Foundations
Professional Certificate in IBM Data Science
Associated skills:Python (Programming Language), Jupyter, Data Science, Markdown, Watson Studio, RStudio, Jupyter Notebook

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IBM: Data Science Tools
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