Course Outline
Introduction
- Overview of AWS QuickSight
- Understanding AWS and QuickSight
Getting Started with AWS QuickSight
- Setting up AWS and QuickSight accounts
- Familiarizing yourself with the QuickSight workflow
- Navigating the QuickSight user interface
Preparing Data in QuickSight
- Understanding data preparation processes in QuickSight
- Comparing SPICE and direct query modes
- Uploading and importing data into QuickSight
- Managing columns and fields
- Working with calculated fields, functions, and operators
- Incorporating string-based calculated fields into projects
- Extracting specific information from strings
- Applying conditional functions
- Creating calculated fields with numeric values
- Implementing various filters within a project
Analyzing and Visualizing Data
- Distinguishing between data preparation and data analysis
- Developing data analyses
- Constructing visuals
- Understanding dimensions and measures
- Integrating additional data sets
- Managing field formatting, aggregation, and granularity
- Styling and formatting visuals
- Building stories and treemaps
- Utilizing filters and tables
- Including KPI visuals
Exporting and Sharing Project Data
- Understanding manual and scheduled data refreshes
- Exporting project data as .csv files
- Managing user accounts
- Sharing data sets and analyses
- Creating and distributing dashboards
Using Databases as Data Sources
- Configuring a database
- Preparing sample data
- Connecting QuickSight to a database
- Importing data into SPICE
- Importing data via queries
- Importing calculated fields and queries
- Working with NoSQL databases
Summary and Next Steps
Requirements
- Familiarity with and basic understanding of data analysis
Audience
- Data analysts
- Professionals interested in data analysis and visualization
Testimonials (3)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
lots of pratical exercises
