Course Outline
Introduction
- Overview of AWS QuickSight
- Understanding AWS and QuickSight
Getting Started with AWS QuickSight
- Setting up AWS and QuickSight accounts
- Understanding the QuickSight workflow
- Navigating the QuickSight user interface
Preparing Data in QuickSight
- Understanding data preparation within 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 string functions to your project
- Extracting information from strings
- Applying conditional functions
- Creating calculated fields with numeric values
- Adding various filters to a project
Analyzing and Visualizing Data
- Understanding the difference between data preparation and analysis
- Constructing data analyses
- Building visualizations
- Comprehending dimensions and measures
- Incorporating additional datasets
- Formatting fields, aggregation, and granularity
- Styling visualizations
- Creating stories and treemaps
- Utilizing filters and tables
- Adding a KPI visual
Exporting and Sharing Project Data
- Understanding refresh mechanisms and scheduled refreshes
- Exporting project data as .csv files
- Adding users to an account
- Sharing datasets and analyses
- 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 via queries
- Importing calculated fields and queries
- Utilizing NoSQL databases
Summary and Next Steps
Requirements
- Foundational knowledge and understanding of data analysis
Audience
- Data analysts
- Anyone interested in data analysis and visualization
Testimonials (4)
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
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.
