Course Description
In this course, professionals will form a data visualization solution through Amazon QuickSight. QuickSight enables everyone in your organization to comprehend your data by exploring via interactive dashboards, asking queries in natural language, or automatically to look for patterns & outliers powered by machine learning. This course emphasizes connecting to data sources, building visuals, designing interactivity, & creating calculations. Professionals will learn how to apply security best practices to their analyses. Professionals will also explore the machine learning capabilities built into QuickSight.
Prerequisites
Students with a minimum one-year of experience authoring visual analytics will benefit from this course. We recommend that participants of this course have-
- Completed Data Analytics Fundamentals
Target Audience
This course is intended for-
- Data & business analysts who build and manage business analytics dashboards
Course Objectives
In this course, professionals will learn to-
- Explain the benefits, use cases, & key features of Amazon QuickSight
- Design, create, & customize QuickSight dashboards to visualize data & extract business insights from it
- Select & configure appropriate visualization types to identify, explore, & drill down on business insights.
- Explain how to use one-click embed to incorporate analytics into applications.
- Connect, transform, & prepare data for dashboarding consumption.
- Demonstrate the security mechanisms available for Amazon QuickSight
- Implement fine-grained access control to a dataset
- Perform advanced data calculations on QuickSight analyses
- Apply machine learning on datasets for anomaly detection & forecasting
- Explain the benefits & key features of QuickSight Q to enhance the dashboard user experience
Content Outline
- Introducing Amazon QuickSight
- Why use Amazon QuickSight for data visualization
- Interacting with Amazon QuickSight
- Loading data into Amazon QuickSight
- Visualizing data in Amazon QuickSight
- Demonstration- Walkthrough of Amazon QuickSight interface
- Practice Lab- Create your first dashboard
- Enhancing your dashboard
- Demonstration- Optimize the size, layout, & aesthetics of a dashboard
- Enhancing visualizations with interactivity
- Demonstration- Walkthrough of dashboard interactivity features
- Practice Lab- Enhancing your dashboard
- Working with datasets
- Demonstration- Transform your datasets for analysis
- Practice Lab- Preparing data for analysis
- Transform data by use of advanced calculations
- Practice Lab- Performing advanced data calculations
- Activity- Designing a Visual Analytics Solution
- Overview of Amazon QuickSight security & access control
- Dataset access control in Amazon QuickSight
- Lab- Implementing access control in Amazon QuickSight visualizations
- Introducing Machine Learning (ML) insights
- Natural Language Query with QuickSight Q
- Demonstration- Using QuickSight Q
- Lab- Using machine learning for anomaly detection & forecasting
- End of day challenge labs
- Join data sources together
- Create a dashboard
- Enhance the dashboard & add interactivity
- Perform advanced data calculations
- Integrate machine learning tools into the dashboard
FAQs
Amazon QuickSight is an easy-to-use, very fast, cloud-powered business analytics service that makes it easy for the entire workforce within an organization to perform ad-hoc analysis, build visualizations, & instantly get business understandings from their data anytime, on any device.
To create a new visual
On the analysis page, choose the dataset that you want to use from the dataset list at the top of the Fields list pane. For more information, see Adding a dataset to an analysis. Choose Add on the application bar, & then choose to Add visual. A new, blank visual is created & receives focus.
EC2 is a service that enables business clients to run application programs in the computing environment.
AWS security provides opportunities to protect the data, check out security-related activity & receive automated responses.
Radiant believes in a practical & creative approach to training & development which distinguishes it from the other training & development platforms. Moreover, training courses are undertaken by some of the experts who have a vast range of experience in their domain.
Radiant team of experts would be available on the email support@radianttechlearning.com to answer your technical queries even after the training program.
Yes, Radiant will provide you most updated high, value & relevant real-time projects & case studies in each training program
Technical issues are unpredictable & might occur with us as well. Participants have to ensure that they have access to the required configuration with good internet speed.
Radiant Tech learning offers training programs on weekdays, weekends & combination of weekdays & weekends. We provide you with complete liberty to choose the schedule that suits your needs.