Business intelligence and data visualization are essential skills in today’s data-driven world. Amazon Quicksight is a powerful cloud-based business intelligence tool that allows users to create interactive dashboards and visualizations for data analysis. While there are many online resources available for learning Quicksight, it can be difficult to determine which courses are the best fit for your needs. This article aims to provide an objective overview of some of the top Quicksight courses available online, including their content, structure, and pricing.
Here’s a look at the Best Quicksight Courses and Certifications Online and what they have to offer for you!
10 Best Quicksight Courses and Certifications Online
- 10 Best Quicksight Courses and Certifications Online
- 1. Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum by Siddharth Mehta (Udemy) (Our Best Pick)
- 2. Amazon Quicksight Basics Guide 2022 by Learn Tech Plus (Udemy)
- 3. Amazon (AWS) QuickSight – Getting Started by Manuel Lorenz, Academind by Maximilian Schwarzmüller, Maximilian Schwarzmüller (Udemy)
- 4. Amazon (AWS) QuickSight, Glue, Athena and S3 Fundamentals by ClayDesk E-learning, Syed Raza, Syed Ali, Qasim Shah (Udemy)
- 5. Learn Data Science and Analytics with AWS Quicksight by Harshit Srivastava (Udemy)
- 6. Complete Introduction to AWS QuickSight [2022 Edition] by Ian Littlejohn (Udemy)
- 7. AWS QuickSight Bootcamp: Ultimate Guide to Amazon QuickSight by Hendrik Kleine (Udemy)
- 8. The Complete QuickSight Course 2022: From Zero to Expert! by Data Doozers (Udemy)
- 9. Learn AWS QuickSight Data Visualization and Analytics by SKILL CURB (Udemy)
- 10. Interactive Dashboards with Amazon QuickSight by Packt Publishing (Udemy)
1. Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum by Siddharth Mehta (Udemy) (Our Best Pick)
The “Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum” course is designed for intermediate and expert AWS Developers, Architects, and Administrators who want to learn about serverless analytics on AWS. The course covers all the features that AWS has released since 2018 for the aforementioned services and is regularly updated with new features.
Students should have a basic working knowledge of AWS Console and AWS Services like S3, IAM, VPC, Security Groups, etc. Beginners may struggle with some of the topics. The course explains all the labs, but if students want to practice labs, they’ll need an AWS Account, which may cost money.
The course starts with basics on serverless computing and data lake architecture on AWS, then moves on to schema discovery, ETL, scheduling, and tool integration using Serverless AWS Glue Engine built on Spark environment. Students also learn to query data lake using Serverless Athena Engine built on the top of Presto and Hive, bridge the data warehouse and data lake using Serverless Amazon Redshift Spectrum Engine, and develop reports and dashboards using Serverless Amazon QuickSight Reporting Engines.
The course is designed to be laser-sharp on lecture timings, with minimal focus on trivial details, and instead, the focus is on core content for experienced AWS Developers, Architects, and Administrators. By the end of the course, students will be future-proof for the next change and disruption sweeping the cloud industry.
The course covers a wide range of topics, from AWS Serverless Analytics and Data Lake Basics to AWS Glue, AWS Athena, Amazon Redshift Spectrum, and Amazon QuickSight. The course includes test-data setup, cluster and sample data setup, architecture and setup of each service covered, development and administration, data ingestion and preparation, and developing advanced analyses and dashboards.
The Amazon Quicksight Basics Guide 2022 course is designed to teach students everything they need to know about using Amazon Quicksight. Led by instructor Josh Werner, the course starts with the basics, covering all the fundamentals of Amazon Quicksight and how to use them to build reports from data. The course is suitable for beginners who want to learn how to access data and bring their reports to life.
The course requires no previous experience, and students are asked only to come with an open mind and a willingness to learn. The course is packed with over an hour of hands-on tutorials, and students will learn a range of skills, including creating an AWS account, setting up an account, working with QuickSight Q, and using embedded analytics.
The course is broken down into several sections, including an introduction, Amazon Quicksight, resources, documentation, and a conclusion. Each section covers a range of topics, from exploring data for dashboard subscribers to working with ML insights and troubleshooting. The course is designed to provide students with a comprehensive overview of Amazon Quicksight and its various features, including pricing, getting started, and organizing assets into folders.
Students will also have access to a range of resources, including documentation, product demo videos, webinars, news and blog posts, release notes, and a community forum. The course concludes with a summary of what students have learned and a final message from the instructor.
Overall, the Amazon Quicksight Basics Guide 2022 course is an excellent resource for anyone who wants to learn how to use Amazon Quicksight. It is suitable for beginners and offers a comprehensive overview of the platform’s features and capabilities. The hands-on tutorials and access to various resources make it an effective way to learn and develop new skills.
3. Amazon (AWS) QuickSight – Getting Started by Manuel Lorenz, Academind by Maximilian Schwarzmüller, Maximilian Schwarzmüller (Udemy)
The Amazon (AWS) QuickSight – Getting Started course offers an introduction to Amazon QuickSight, a Business Intelligence (BI) tool that allows for data analysis and visualization. QuickSight is fully integrated into Amazon Web Services (AWS), which makes it a highly scalable, easy-to-use, and flexible data analysis tool. The course covers various topics, such as how to connect QuickSight to different data sources, prepare data, create analysis and visuals, and create dashboards and stories. The course is suitable for those who are new to QuickSight, looking for a cloud-based BI tool to quickly analyze data, interested in exploring new tools, want to understand how to analyze and visualize data within the AWS universe, or generally interested in data analysis. The course is taught by Manuel Lorenz, Academind by Maximilian Schwarzmüller, and Maximilian Schwarzmüller. The course is divided into seven sections, which cover topics such as starting with the basics, preparing data, analyzing and visualizing data, refreshing, exporting, and sharing project data, and databases as data sources.
4. Amazon (AWS) QuickSight, Glue, Athena and S3 Fundamentals by ClayDesk E-learning, Syed Raza, Syed Ali, Qasim Shah (Udemy)
This course, titled “Amazon (AWS) QuickSight, Glue, Athena and S3 Fundamentals,” is taught by ClayDesk E-learning, Syed Raza, Syed Ali, and Qasim Shah. The short description of the course explains that it focuses on Amazon QuickSight Fundamentals and teaches students how to create visualizations using AWS Athena, AWS Glue, and S3. The course is designed to provide a solid understanding of these concepts through a flipped classroom model with hands-on learning.
The course is suitable for individuals who are Data Analysts, Business Analysts, Web Developers, IT administrators, Data Center Architects, Project Managers, Enterprise Architects, or Programmers. It is intended to provide fundamental and intermediate skills for a high paying career. The course also provides additional tips and techniques for students looking to take their skills to the next level.
The course consists of a comprehensive hands-on approach with detailed concepts and application. The flipped classroom model provides hands-on learning to help students experience the course directly as they begin their learning journey. The course covers the creation of visualizations using AWS QuickSight, serverless computing, AWS Athena, AWS Glue, and S3. It also covers the importation of data sets into AWS S3 and the creation of a Virtual Private Cloud (VPC) connection.
The course also covers the AWS Data Lake and the complete workflow. Students will learn to work with multiple datasets, create databases and tables, and see how QuickSight creates visualizations. Additionally, students will learn the difference between Microsoft Power BI and AWS QuickSight. The course provides valuable resources and sample data sets where applicable.
The course is suitable for individuals looking to gain a solid understanding of AWS concepts (AWS S3, Glue, Athena, QuickSight) or marketable skills as an IT expert or professional. The course is not designed for advanced level students. The course provides a certification of completion.
This course, titled “Learn Data Science and Analytics with AWS Quicksight,” is instructed by Harshit Srivastava. The course is designed to teach individuals how to create data visualization charts and prepare datasets to identify insights and trends. Prior knowledge of AWS cloud computing and basic data preparation with Excel or any BI editors is recommended before taking this course.
During the course, participants will learn how to use AWS Quicksight, a powerful business intelligence tool that allows users to import datasets from various sources such as direct upload, S3 bucket, Redshift and other databases in multiple formats such as csv and xls. They will also learn how to perform tasks such as data cleaning, data preparation, and changing field types among string, integer, decimal, country, state, date, time and other formats.
Participants will learn how to create visualization charts by taking multiple fields and arranging them in dimensions and measures. They will also learn how to create analytics dashboards by combining various visualization charts on a single page to generate a BI report or analytics dashboard. Furthermore, they will learn how to use conditional formatting to customize visual charts in terms of colors, data values, date range, value range, and others.
The course covers various phases from data extraction, data preparation, data cleaning, modeling to data visualization and analysis, and participants will learn how to perform most of these data science tasks with AWS Quicksight. The course is taught in a step-by-step manner, beginning with creating an analytics dashboard from a dataset, importing a dataset on AWS, creating basic visualization charts such as bar, pie, and treemap, and preparing datasets for the visualization phase by creating filters, excluded lists, and calculated fields.
After learning data preparation, participants will learn to create advanced visualization charts such as map chart, pivot table, and Sankey chart. The course contains the following sections: Introduction, Getting Started with Quicksight, Data Preparation, Data Visualization, Advanced Chart, and Quiz.
The Complete Introduction to AWS QuickSight [2022 Edition] course is designed to teach students how to use Amazon’s QuickSight to create dynamic analysis, reports, and dashboards. The course is updated for 2022 and features full HD video quality to ensure that students are learning on the latest QuickSight interface. The course is structured from beginner to intermediate level and covers everything that students need to know about QuickSight. The trainer, Ian Littlejohn, has been a top-rated trainer on the Udemy platform for over 5 years and specializes in Data Analysis.
QuickSight is Amazon’s business analytics service that can be used to build visualizations, perform ad hoc analysis, and gain business insights from data. QuickSight uses a robust in-memory engine (SPICE) and is scalable to hundreds of thousands of users. Students can expect to learn how to load and prepare data for analysis, calculate different methods of aggregation, create KPIs, use table calculations, filter visualizations and reports, create new calculations and fields of data from QuickSight formulas, create powerful trend analysis graphs, create relationships between tables of data, and create and share powerful dashboards of data in minutes.
The course includes full access to 5 hours of full HD quality video, 3 downloadable resources, 10 articles, lifetime access, a money-back guarantee (see Udemy terms and Conditions), and a certificate of completion upon course conclusion. The course is part of Ian’s Data Analysis courses roadmap on Udemy, which takes students from beginner to intermediate level with Amazon QuickSight, Power BI, Excel, and Google Data Studio.
Overall, the Complete Introduction to AWS QuickSight [2022 Edition] is an effective way for students to learn how to use QuickSight and gain valuable data analysis skills. The course is easy to follow, logically structured, and features exercises with immediate feedback to ensure that students are learning and retaining the information.
The AWS QuickSight Bootcamp: Ultimate Guide to Amazon QuickSight is a beginner-friendly course that provides an introduction to Amazon Web Service’s (AWS) QuickSight. QuickSight is a low-cost cloud analytics service that provides ad-hoc data analysis, data visualization, dashboards, and data storytelling. The course is designed to teach users how to connect to their data, perform analyses, leverage machine learning capabilities, and publish rich, interactive dashboards. The course is offered by analytics expert Hendrik Kleine, who has been working with several leading fortune 100 tech companies to successfully implement Business Intelligence strategies.
The course has seven different sections, beginning with an introduction and outlining the prerequisites for the course. The second section provides an overview of QuickSight, discussing supported data sources, importing data into SPICE, machine-learning capabilities, and the Amazon Quicksight mobile app. Section three covers the step-by-step process of signing up for Amazon AWS and QuickSight accounts. Section four teaches users how to create, edit, calculate, join, share, duplicate, and delete data sets, as well as how to implement row-level security (RLS) for data.
Section five focuses on analyses, teaching users how to create and interact with visuals and insights. This section covers how to create an analysis, format visuals, and create comprehensive insights. The drill-down feature, machine-learning insights, filters, parameters, and actions are also covered in this section. Section six teaches users how to create, publish, and share a dashboard with Amazon QuickSight users. The final section, section seven, summarizes the course, providing users with a clear understanding of further actions and opportunities.
The course is open to anyone interested in data analysis and visualizing data with Business Intelligence (BI) tools. The course requires no prior experience or knowledge of QuickSight.
The Complete QuickSight Course 2022: From Zero to Expert! is a course offered by Data Doozers that aims to teach students the fundamentals of Amazon QuickSight. The course covers both basic and advanced features of the cloud-scale business intelligence service.
Amazon QuickSight allows users to deliver easy-to-understand insights from data in the cloud as well as from other sources, including AWS data, third-party data, big data, spreadsheet data, and more. As a managed cloud-based service, it provides enterprise-grade security, global availability, and built-in redundancy. QuickSight also offers user-management tools that can scale from 10 to 10,000 users without infrastructure deployment or management.
The course is designed to help decision-makers explore and interpret information in an interactive visual environment. They can access the dashboards from any device on their network and from mobile devices. Upon completion of the course, students will be able to connect to their data and prepare it for analysis. They will also be guided through the dashboard creation process and learn some unique tricks that they won’t find elsewhere.
By the end of the course, students will have an actual dashboard with real data and multiple functionalities that they can show to others. However, they are encouraged to take some time to apply what they learned and improve it before sharing it with others. The course also touches on other QuickSight features like Machine Learning Insights and Q, which can be learned through the Data Doozers YouTube channel.
The course has five sections, starting with an introduction to Quicksight and Business Intelligence, followed by creating an account and managing users. Data preparation, data analysis, and visualizations are also covered, as well as creating and working with dashboards. The course concludes with tips for becoming an Amazon QuickSight Rockstar.
Overall, this course provides a comprehensive guide for those looking to learn Amazon QuickSight and its capabilities.
The Learn AWS QuickSight Data Visualization and Analytics course, offered by SKILL CURB, provides an introduction to AWS QuickSight through practical lab exercises. The course is designed for individuals with no or very little experience in the field of data analytics. It consists of 11 modules, with the first few focused on explaining the difference between data visualization and data analytics, as well as the steps for setting up AWS and Quicksight accounts.
The course covers all major types of visualizations and analysis typically used by data analysts, and includes importing data from multiple sources, data preparation and transformation, and visualization structures such as tables and pivot tables. Additionally, the course covers adding calculated fields using existing data, as well as the different types of filters and controls available in Quicksight.
Each section of the course is accompanied by practical lab sessions, and there is a capstone project at the end which explains the start to end workflow of data visualization using Quicksight. By the end of the course, students will have gained practical insight and a solid understanding of data visualization and analytics using AWS Quicksight.
The course consists of the following sections: Introduction to Data Visualization, Introduction to Analytics, Introduction to AWS QuickSight, AWS QuickSight Basics, Load Data into AWS QuickSight, Tables, KPI’s and Pivot Tables, Filters, Controls, Data Visualization, Dashboard, and Capstone Project. All lab resources for the course can be found on the course’s git repository.
This course, titled “Interactive Dashboards with Amazon QuickSight,” is offered by Packt Publishing and teaches users how to create interactive dashboards using the QuickSight business analytics service. QuickSight allows users to analyze their data to gain critical business insights for better decision-making. The course covers an end-to-end architecture on AWS Big data ecosystem, including importing data to S3 storage using Lambda, preparing data using Athena, connecting Athena and QuickSight SPICE, and visualizing the data using QuickSight. The major topics covered in the course include Big Data Analytics and AWS services, QuickSight account creation, connecting data to QuickSight, data preparation, QuickSight visualizations, dashboards, and stories. The author of the course is Rajesh Nadipalli, a Sr. Director at PPD Enterprise data group with over 20 years of IT experience and a passion for data.
The course begins with a Quick Start section that covers account creation and data connection. The next section covers importing data to QuickSight, including data sources, file formats, and data ingestion. The Enriching Your Data section covers data preparation using functions such as aggregation, filtering, and calculated fields. The Building Interactive Visuals section covers the creation of visualizations using QuickSight’s drag-and-drop interface. The Building a Mini-Project in AWS with QuickSight section provides practical experience by guiding users through the creation of a sample project. The Administration and Mobile App section covers administration of QuickSight and the use of the QuickSight mobile app. The Advanced Features and Closing Comments section covers advanced features such as embedding QuickSight dashboards in web applications and concludes the course.
By the end of the course, users will have learned how to build a data analytics solution in AWS using QuickSight and other related services.