
Develop your first donut chart in AWS QuickSight to show gender distribution in the organization, guiding you through adding visuals, selecting fields, applying filters, and customizing formatting and tooltips.
Create your first vertical bar chart in AWS QuickSight by converting a donut visualization to show employees per department, with gender color breakdown, sorting, labels, and reference lines.
Learn to design granular tables in Amazon QuickSight, grouping by employee id and name, department, gender, joining date, and category, with formatting and department totals.
Explore creating and customizing line charts in AWS QuickSight to analyze yearly hiring spend, average salaries, and gender-based breakdowns across departments, using small multiples and detailed formatting.
Explore how to build and customize a gauge chart in AWS QuickSight, comparing actual versus target values to visualize organizational KPIs, with formatting, data labels, conditional formatting, and design options.
Explore converting line charts to area and area stacked charts in AWS QuickSight, duplicating visuals without reapplying formatting, and using gender-based salary storytelling to compare data on dashboards.
Explore how to build a scatter chart in QuickSight, comparing department head counts and salaries, with bubble size and color encoding to reveal working capital allocations and department insights.
Explore how to build and customize a funnel chart in AWS QuickSight, counting employees by department, adding drill-down hierarchies, aliasing fields, and tweaking labels and sorting for insights.
Explore radar chart visuals in AWS QuickSight, mapping departments to category and salaries to value, then customize formatting, axes, labels, tooltips, and fill to reveal insights.
Explore advanced calculation functions in AWS QuickSight, including max, min, average, count, and distinct count, and learn to create calculated fields using pre-built functions for department-level salary insights.
Master if-else calculations in AWS QuickSight to bucket departments by average salary using calculated fields, and visualize the results with bar and donut charts for business insights.
Master calculated fields in AWS QuickSight by applying is null, null if, concat, round, upper, lower, left, and right to transform data and gain insights.
Explore how to create maps in QuickSight by configuring geospatial fields, converting longitude and latitude data types, and building point and fill maps with styling options.
Explore how to use parameters in AWS QuickSight to dynamically switch columns and measures, build a major parameter toggle, and create calculated fields for dynamic dashboards.
Explore how to use a parameter in AWS QuickSight to show or hide visuals, enabling interactive dashboards with a show gender chart or show category chart toggle.
Become an AWS Quicksight professional and learn one of employer's most requested skills nowadays!
This comprehensive course is designed so that AWS users, data analystis, data scientists, students, developers, IT operators... can learn AWS Quicksight from scratch to use it in a practical and professional way. Never mind if you have no experience in the software, you will be equally capable of understanding everything and you will finish the course with total mastery of the subject.
After several years working Data science, we have realized that nowadays mastering AWS Quicksight is very necessary for the extraction of easy-to-understand insights from data. Knowing how to use this software can give you many job opportunities and many economic benefits, especially in the world of analytics and business intelligence (BI).
The big problem has always been the complexity to perfectly understand Quicksight it requires, since its absolute mastery is not easy. In this course I try to facilitate this entire learning and improvement process, so that you will be able to carry out and understand your own projects in a short time, thanks to the step-by-step and detailed examples of every concept.
With more than 10 exclusive hours of video, this comprehensive course leaves no stone unturned! It includes both practical exercises and theoretical examples to master Amazon Quicksight. The course will teach you how to build visualizationd and perform ad hoc analysis from data in a practical way, from scratch, and step by step.
We will start with the setup of the work environment on your computer, regardless of the features of your computer.
Then, we'll cover a wide variety of topics, including:
Introduction to AWS Quicksight and course dynamics
General familiarization with the interface and Pre Build Quicksight Dashboards
Complete dataset management
Visual Creation and Formatting
Table and Pivot Table Development
Filtering and Data Analysis
Visualizations and Charts
Custom Elements and Images
Dashboard Layout Customization
Advanced Calculations and Functions
Interactive Actions and Navigations
Sharing and Publishing
Reporting and Exporting
Building from scratch your Quicksight Real-life complete project: an interactive professional dashboard
Mastery and application of absolutely ALL the functionalities of Amazon Quicksight
Practical exercises and much more!
In other words, what I want is to contribute my grain of sand and teach you all those things that I would have liked to know in my beginnings and that nobody explained to me. In this way, you can learn to solve a wide variety of projects quickly and make versatile and complete use of Amazon Quicksight. And if that were not enough, you will get lifetime access to any class and I will be at your disposal to answer all the questions you want in the shortest possible time.
Learning AWS Quicksight has never been easier. What are you waiting to join?