Course Outline
Introduction
- Overview of AWS QuickSight
- Understanding AWS and QuickSight
Getting Started with AWS QuickSight
- Setting up an AWS and QuickSight account
- Comprehending the QuickSight workflow
- Navigating the QuickSight User Interface
Preparing Data in QuickSight
- Understanding data preparation in QuickSight
- SPICE vs. direct query
- Uploading and importing data into QuickSight
- Working with columns and fields
- Understanding calculated fields, functions, and operators
- Incorporating calculated fields using string manipulations
- Extracting information from strings
- Utilizing conditional functions
- Creating calculated fields with numeric values
- Applying various filters to a project
Analyzing and Visualizing Data
- Distinguishing between data preparation and analysis
- Constructing data analysis
- Creating visualizations
- Understanding dimensions and measures
- Incorporating additional data sets
- Field formatting, aggregation, and granularity
- Formatting visuals
- Developing stories and treemaps
- Using filters and tables
- Adding KPI visuals
Exporting and Sharing Project Data
- Understanding manual and scheduled refreshes
- Exporting project data as .csv files
- Adding users to an account
- Sharing data sets and analyses
- Creating and sharing dashboards
Using Databases as Data Sources
- Setting up a database
- Preparing sample data
- Connecting QuickSight to a database
- Importing data into SPICE
- Importing data via query
- Importing calculated fields and queries
- Utilizing NoSQL databases
Summary and Next Steps
Requirements
- Foundational knowledge and understanding of data analysis
Audience
- Data analysts
- Individuals interested in data analysis and visualization
Testimonials (4)
Abhi has excellent knowledge of Alteryx and he explained things very clearly. He understood our goals and created bespoke demo datasets that were relevant to our organisation, which was very impressive. The training was well-structured and delivered at a good pace, with time for questions.
Samuel Taylor - Manchester Metropolitan University
Course - Alteryx for Data Analysis
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
