IBM Cloud Pak® for Data Version 4.6 will reach end of support (EOS) on 31 July, 2025. For more information, see the Discontinuance of service announcement for IBM Cloud Pak for Data Version 4.X.
Upgrade to IBM Software Hub Version 5.1 before IBM Cloud Pak for Data Version 4.6 reaches end of support. For more information, see Upgrading IBM Software Hub in the IBM Software Hub Version 5.1 documentation.
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:
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Create a project.
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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.
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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 builder. | 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
- A comprehensive set of videos that show many common data science and machine learing tasks in Cloud Pak for Data.
Training
- Watson Studio Methodology {: new_window}
is an IBM Training e-Learning course that provides an in-depth look at Watson
Studio. - Take control of your data with Watson Studio {: new_window} is a learning path that consists
of step-by-step tutorials that explain the process of working with data using Watson Studio.