AWS QuickSight Training Course
AWS QuickSight is a business analytics service by Amazon. It provides tools for building data visualization, performing ad hoc analysis, and getting business insights from different data sources.
This instructor-led, live training (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight data analysis and visualization.
By the end of this training, participants will be able to:
- Understand the basic concepts of AWS QuickSight.
- Use AWS QuickSight to create data analysis, reports, and insights.
- Use AWS to create relationships between data for enhanced analysis.
- Learn different types of visualizations in understanding data.
Format of the Course also allows for the evaluation of participants.
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
Open Training Courses require 5+ participants.
AWS QuickSight Training Course - Booking
AWS QuickSight Training Course - Enquiry
AWS QuickSight - Consultancy Enquiry
Consultancy Enquiry
Testimonials (5)
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
The diversity of topics covered
Romaric - Vacher
Course - Business Intelligence and Data Analysis with Metabase
Machine Translated
Share example of application
Course - Alteryx for Data Analysis
Very clearly articulated and explained
Harshit Arora - PwC South East Asia Consulting
Course - Alteryx for Developers
Linear regression - the algorithm to predict the trend
Vincent Ko - UBS
Course - Data Preparation with Alteryx
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