Data Science Tools

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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.

What you will learn

• List various tools used by data scientists and machine learning engineers
• Describe various programming languages used by data scientists such as Python, R, Julia and SQL
• Explain the various components of a data scientist's toolkit, including Libraries, Packages, Data sets and Machine Learning Models
• Explain the features of Jupyter Notebooks and how to use them
• Work with popular tools employed by data scientists including RStudio IDE and GitHub
• Create and share a Jupyter Notebook
• Navigate IBM Watson Studio and describe its features and capabilities

Skills you learn

• Jupyter
• Jupyter Notebook
• Markdown
• Python (Programming Language)
• Watson Studio
• Data Science
• RStudio

Auto Summary

Embark on your data science journey with the "Data Science Tools" course, offered by edX, designed to give you a comprehensive introduction to the essential tools in the field of data science. This foundational course spans seven weeks, providing you with in-depth knowledge on the most popular and widely used data science tools. You'll learn not only how to utilize these tools effectively but also understand their unique features and applications. Guided by expert instructors, this course is tailored for beginners who are keen to delve into the IT and Computer Science domain. Whether you're just starting or looking to solidify your foundational understanding, this course offers valuable insights to kickstart your data science career. Choose from flexible subscription plans—Starter or Professional—to suit your learning needs and goals. Join a community of enthusiastic learners and take the first step towards mastering data science tools that are pivotal in today's data-driven world.