DATA SCIENCE TOOLS – FREE COURSE

DATA SCIENCE TOOLS – FREE COURSE

Data Science Tools - Free Course

Learn and try out the most popular data science tools like Jupyter Notebooks, RStudio IDE, Apache Zeppelin, IBM Watson Studio, and more. Tools are available to use directly on the cloud.

START YOUR FREE COURSE

ABOUT THIS COURSE

Get started with some of the most popular tools for collaborative data science, including RStudio IDE, Jupyter Notebooks, Apache Zeppelin notebooks, and IBM Watson Studio. Use the tools directly on Skills Network Labs, a cloud lab environment that brings powerful open data science tools together so you can analyze, visualize, explore, clean data, run models and create apps.

COURSE SYLLABUS

Module 1 -Introducing Skills Network Labs

• What is Skills Network Labs?
• Skills Network Labs features
• LAB: Getting Started with Skills Network Labs

Module 2 -Introducing Jupyter Notebooks

• What are Jupyter notebooks?
• Getting started with Jupyter
• Data and Notebooks in Jupyter
• Sharing your Jupyter Notebooks and data
• LAB: Getting Started with Jupyter Notebooks

Module 3 - Introducing Zeppelin Notebooks

• What are Zeppelin Notebooks?
• Zeppelin for Scala
• Getting started with Zeppelin
• Managing your Interpreters in Zeppelin
• Apache Spark in Zeppelin Notebooks
• LAB: Getting Started with Apache Zeppelin Notebooks

Module 4 - Introducing RStudio IDE

• What is RStudio IDE?
• Uploading files, Installing Packages and loading libraries in RStudio IDE
• Getting started with RStudio IDE
• RStudio Environment and History
• Apache Spark in RStudio IDE
• LAB: Getting Started with RStudio IDE

REQUIREMENTS and RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE

None

COURSE CODE:

DS0105EN

AUDIENCE:

Data Scientists, Data Engineers, Business Analysts

COURSE LEVEL:

Beginner

TIME TO COMPLETE:

4 hours

GENERAL INFORMATION

• Free of Cost.
• Self-paced course.
• Life time validity.
• Can be audited as many times as you wish.

Note: This is an updated version of the old course. If you were enrolled in the older version (before September 18, 2017), you can continue your progress Here.

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