AWS Quick Sight Online Training Course

Duration40 Days

Mode of TrainingOnline

LevelAdvanced

AWS Quicksight

AWS Quicksight is an AWS based Business Intelligence and visualization tool that is used to visualize data and create stories to provide graphical details of the data. Data is entered as dataset and you can apply filters, hierarchies, and columns to prepare documents. You can choose various charts like Bar charts, Pie charts, etc. to visualize the data effectively. This basic tutorial will help you to understand and learn AWS Quicksight tool.

What is AWS QuickSight used for?

Amazon QuickSight is a unified business intelligence service that makes it easier for all employees within an organization to build visualizations, perform ad hoc analysis, and quickly get business insights from their data, anytime, on any device..

Hands-on Learning:

Our training is centered around hands-on exercises and projects that simulate real-world scenarios, ensuring you can apply your learning effectively.

Live Instructor LED Online Training

Learn from Certified Experts

Best Practice for interview Preparation Techniques in AWS QuickSight

100% Real-Time Projects & Use-cases

Latest Industry Trend Curriculum

Live Projects Implementation

Daily Recorded Videos

AWS Quick Sight Course Curriculum

Introduction to AWS QuickSight

Overview of AWS QuickSight: What it is, its purpose, and key features
Benefits: Scalability, cost-effectiveness, ease of use
Comparison with other BI tools: How QuickSight compares to tools like Tableau, Power BI, etc

Getting Started

Setting Up AWS QuickSight: Creating an AWS account, setting up QuickSight
Navigating the QuickSight Console: Understanding the interface and key components

Data Sources and Datasets

Connecting to Data Sources: How to connect QuickSight to various data sources (e.g., AWS services like S3, RDS, Redshift, external sources)
Data Preparation: Importing, cleaning, and preparing data for analysis
Creating Datasets: Using the QuickSight dataset editor

Analyzing Data

Creating Analysis: Building visualizations, choosing the right chart types
Using Visual Types: Bar charts, line charts, pie charts, heat maps, etc
Filters and Controls: Adding filters and interactive controls to dashboards
Calculated Fields: Creating and using calculated fields for advanced analytics

Building Dashboards

Design Principles: Best practices for designing effective and intuitive dashboards
Creating and Customizing Dashboards: Adding visuals, arranging layout, applying themes
Dashboard Interactivity: Adding interactivity such as drill-downs, parameter controls

Sharing and Collaboration

Sharing Dashboards: How to share dashboards with other users or groups
Embedding QuickSight: Embedding dashboards in web applications or portals
Permissions and Access Control: Managing user permissions and data security

Advanced Features

SPICE Engine: Understanding QuickSight’s in-memory calculation engine for fast performance
Machine Learning Insights: Utilizing built-in machine learning features for predictive analytics
Custom Visuals: Integrating custom visualizations or third-party plugins

Performance Optimization

Optimizing Queries: Best practices for ensuring fast performance and efficient queries
Scaling and Cost Management: Managing costs and scaling QuickSight according to usage

Troubleshooting and Best Practices

Common Issues and Solutions: How to troubleshoot common problems
Best Practices: Tips for efficient use and maintaining dashboards

Hands-On Labs and Projects

Real-World Scenarios: Practical exercises and projects to apply what has been learned
Case Studies: Examples of how businesses have used QuickSight effectively

Review and Q&A

Course Review: Summarizing key takeaways
Open Q&A: Addressing any remaining questions or clarifications