What does the Amazon QuickSight course cover?
Amazon QuickSight is covered here in 6 modules: Introduction to Amazon QuickSight: Benefits and features, Overview of Amazon QuickSight, Connecting to Data Sources: Creating datasets and data sets, Data Analysis and Visualization: Creating custom visualizations and 3 more. The outline lists 24 specific topics, opening with Overview of Amazon QuickSight and closing with Customizing and extending QuickSight.
How do you approach Amazon QuickSight step by step?
The work is sequenced in 6 stages. It starts with Introduction to Amazon QuickSight: Benefits and features, Overview of Amazon QuickSight, moves through Connecting to Data Sources: Creating datasets and data sets and Data Analysis and Visualization: Creating custom visualizations, and ends at Best Practices and Advanced Topics: Using QuickSight's APIs and SDKs.
What is in Module 1 of the Amazon QuickSight course?
Module 1 is Introduction to Amazon QuickSight: Benefits and features, Overview of Amazon QuickSight. It works through Overview of Amazon QuickSight, benefits and features, use cases and success stories and 1 more. It sets the vocabulary the remaining 5 modules build on.
How is the Amazon QuickSight course delivered?
The Amazon QuickSight course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Amazon QuickSight course cost?
The Amazon QuickSight course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Amazon QuickSight Toolkit, Amazon QuickSight for Data-Driven Decision Making.
More answers: what you get with every course, refund policy, all help answers.
Mastering Amazon QuickSight: A Step-by-Step Guide to Data Analysis and Visualization
Course Overview
In this comprehensive course, you'll learn the fundamentals of Amazon QuickSight and how to use it to analyze and visualize data. With interactive lessons, hands-on projects, and real-world applications, you'll gain the skills and confidence to unlock insights and drive business decisions.Course Objectives
- Understand the basics of Amazon QuickSight and its benefits
- Learn how to connect to data sources and create datasets
- Master data analysis and visualization techniques
- Apply QuickSight's advanced features, such as machine learning and forecasting
- Create interactive and dynamic dashboards
- Share insights and collaborate with others
Course Outline
Module 1. Introduction to Amazon QuickSight: Benefits and features, Overview of Amazon QuickSight
- Overview of Amazon QuickSight
- Benefits and features
- Use cases and success stories
- Setting up your QuickSight account
Module 2. Connecting to Data Sources: Creating datasets and data sets
- Overview of supported data sources
- Connecting to AWS data sources (S3, DynamoDB, etc.)
- Connecting to external data sources (SQL, NoSQL, etc.)
- Creating datasets and data sets
Module 3. Data Analysis and Visualization: Creating custom visualizations
- Introduction to data analysis and visualization
- Using QuickSight's visualization tools (tables, charts, maps, etc.)
- Creating custom visualizations
- Applying filters and drill-downs
Module 4. Advanced Data Analysis and Visualization: Creating predictive models and forecasts
- Using QuickSight's machine learning and forecasting capabilities
- Creating predictive models and forecasts
- Using QuickSight's advanced visualization tools ( Sankey diagrams, etc.)
- Creating interactive and dynamic dashboards
Module 5. Sharing Insights and Collaborating with Others: Sharing dashboards and visualizations
- Sharing dashboards and visualizations
- Collaborating with others in real-time
- Using QuickSight's commenting and annotation features
- Integrating with other AWS services (SageMaker, etc.)
Module 6. Best Practices and Advanced Topics: Using QuickSight's APIs and SDKs
- Best practices for data analysis and visualization
- Advanced topics (data governance, security, etc.)
- Using QuickSight's APIs and SDKs
- Customizing and extending QuickSight
Course Features
- Interactive and engaging lessons and activities
- Comprehensive coverage of Amazon QuickSight and its features
- Personalized learning experience with hands-on projects
- Up-to-date content with the latest QuickSight features and best practices
- Practical and real-world applications and examples
- High-quality content with expert instructors
- Certification upon completion, issued by The Art of Service
- Flexible learning with self-paced and instructor-led options
- User-friendly and mobile-accessible platform
- Community-driven with discussion forums and support
- Actionable insights and hands-on projects
- Bite-sized lessons and lifetime access
- Gamification and progress tracking features