Getting started with analyzing and visualizing data

Getting started with analyzing and visualizing data

To get started with analyzing and visualizing data, understand the overall workflow, choose a tutorial, and check out other learning resources for working in Cloud Pak for Data.

Overview of the analyzing and visualizing data workflow

Your analyzing and visualizing data workflow has these basic steps:

  1. Create a project.
  2. Add data to your project. You can add data files from your local system, data from a remote data source that you connect to, or data from a catalog.

  3. Choose a tool to analyze your data. Each of the tutorials describes a tool.

Tutorials

Each of these tutorials provides a description of the tool, a video, the instructions, and additional learning resources:

Tutorial Description Expertise for tutorial
Tell a story with a dashboard Create a dashboard on a graphical canvas. Drop elements on a canvas and select options.
Refine and visualize data with Data Refinery Prepare and visualize tabular data with a graphical flow editor. Select operations to manipulate data.
Analyze data in a Jupyter notebook Load data, run, and share a notebook. Understand generated Python code.

Learning resources

Documentation

Videos

Training