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 as a Service.
Prerequisite Sign up for Cloud Pak for Data as a Service
Overview of the analyzing and visualizing data workflow
Your analyzing and visualizing data workflow has these basic steps:
- Create a project. If necessary, create the service instance that provides the tool you want to use and associate it with the project.
- Add data to your project. You can add data files from your local system, data from a remote data source that you connect to, data from a catalog, or sample data from the Gallery.
- 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
Guided tutorials
Click Take a guided tutorial on the Cloud Pak for Data as a Service home page. After you create the sample project, choose a path:
- Choose Explore and prepare data to cleanse and visualize data.
- Choose Build and deploy a model to automatically build a model with the AutoAI tool.
Documentation
Videos
- A comprehensive set of videos that show many common data science and machine learing tasks in Cloud Pak for Data as a Service.
Samples
- Industry accelerators provide sample projects with end-to-end solutions that solve specific business problems.
- Gallery of samples provides sample notebooks, data sets, and projects that you can import.
Training
- Watson Studio Methodology is an IBM Training e-Learning course that provides an in-depth look at Watson Studio.
- Take control of your data with Watson Studio is a learning path that consists of step-by-step tutorials that explain the process of working with data using Watson Studio.
Parent topic: Getting started