Here in this course, you will learn about Business Intelligence and Data Visualization with practical examples using Amazon Quicksight and Tableau. You will learn to import various types of datasets in a BI tool. Various operations could be performed on this imported dataset such as adding filters and creating new columns or modifying data values using calculated fields. We can also remove certain data elements using the excluded lists and conditional formatting. You will learn about these concepts in a stepwise manner.
Moreover, you would also learn to create data visualization charts that help you visualize information in compressed form in a categorized way. You could find insights from complex data using a combination of charts that can be further dived deeper by adding filters. You would learn to create various types of data charts on both Tableau and Quicksight.
You will learn various concepts with practical examples in Tableau such as-
How to import an excel file in Tableau
Various chart types
Creating Map Visualization
Converting measures to dimensions and vice versa
Calculating Measure and creating a dual-axis chart
Creating multiple worksheets
Creating a dashboard
Using the map as a filter
Creating custom filters
Adding filters to the dashboard
Creating an Analytics dashboard with filters
Creating a Calculated field
Butterfly chart
Word Cloud
Moreover, you would learn various lessons on AWS Quicksights such as-
Getting Started with Quicksight
Importing datasets and understanding groups and values
Creating Treemap and Customizing charts
Data Preparation- Editing Dataset before creating Charts
Create a Calculated Field using Functions- ceil and concat
More calculated fields
Creating Filters and Excluded list
Map Chart and Conditional Formatting
Pivot table