Data science tools
Learn about the most popular data science tools, including how to use them and what their features are.
About this Course
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.
You will Learn:
- How to use various data science and data visualization tools hosted on Skills Network Labs
- How to use Jupyter Notebooks including its features and why it’s so popular
- Popular tools used by R Programmers including RStudio IDE
- IBM Watson Studio including its features and capabilities
- How to create and share a Jupyter Notebook
COURSE SYLLABUS
- Module 0 – Welcome and Course Introduction
- Module 1 – Languages of Data Science
- Module 2 – Data Science Tools
- Module 3 – Packages, APIs, Data Sets and Models
- Module 4 – GitHub
- Module 5 – Jupyter Notebooks and JupyterLab
- Module 6 – RStudio IDE
- Module 7 – Watson Studio
GENERAL INFORMATION
- This course is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE
- None
REQUIREMENTS
- None
