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Course Outline
Introduction
- Overview of AWS QuickSight
- What is AWS and QuickSight
Getting Started with AWS QuickSight
- Creating an AWS and QuickSight account
- Understanding the QuickSight workflow
- Navigating the QuickSight UI
Preparing Data in QuickSight
- Understanding data preparation in QuickSight
- SPICE vs. direct query
- Uploading and importing data to QuickSight
- Working with columns and fields
- Understanding calculated fields, functions, and operators
- Adding calculated fields using strings to our project
- Extracting information out of strings
- Using conditional functions
- Creating calculated fields with numeric values
- Adding different filters to a project
Analyzing and Visualizing Data
- Understanding the difference between preparing and analyzing data
- Creating the data analysis
- Creating visuals
- Understanding dimensions and measures
- Adding additional data sets
- Field formatting, aggregation, and granularity
- Formatting visuals
- Creating a story and treemap
- Using filters and tables
- Adding a KPI visual
Exporting and Sharing Project Data
- Understanding refresh and schedule refresh
- Exporting project data as .csv files
- Adding users to an account
- Sharing data set and analysis
- Creating and sharing dashboards
Using Databases as Data Sources
- Setting up a database
- Preparing dummy data
- Connecting QuickSight to a database
- Importing data into SPICE
- Importing data as a Query
- Importing calculated fields and query
- Using NoSQL databases
Summary and Next Steps
Requirements
- Basic knowledge and understanding of data analysis
Audience
- Data analysts
- Anyone who is interested in data analysis and visualization
14 Hours
Testimonials (3)
Used good examples, good pace of the training and covered most things
David - McGraw Hill
Course - Data Preparation with Alteryx
Clear explanations with good examples so i could relate to my own line of work.
Elaine Vermeulen - Sandoz BV
Course - Alteryx for Developers
The most I like that training very well structured. I also enjoyed short tasks that we were given to fulfil after sessions. It could help to sharpen to knowledges gained from the trainer
