02 - 1. Getting Started with AWS QuickSight
03 - 2. Extracting Data
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02 - Leveraging super-fast, parallel, in-memory, calculation engine (SPICE) (3:22)
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01 - Overviewing supported data sources (7:27)
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03 - Connecting to files (5:39)
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04 - Connecting to AWS cloud services (8:47)
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05 - Connecting to corporate data sources (3:24)
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06 - Connecting to SaaS (2:07)
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07 - Understanding data source limitations and settings (7:42)
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08 - Challenge Connecting to data (3:50)
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09 - Solution Connecting to data (1:18)
04 - 3. Transforming Data
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01 - Renaming fields (5:37)
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02 - Removing fields (2:52)
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03 - Filtering rows (6:08)
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04 - Changing data types (5:18)
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05 - Creating calculated fields (10:04)
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06 - Adding conditional fields (4:25)
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07 - Setting up geospatial grouping (6:44)
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08 - Challenge Transforming data (0:48)
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09 - Solution Transforming data (7:03)
05 - 4. Loading Data
06 - 5. Creating Visualizations
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02 - Exploring visualization options (6:13)
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01 - Creating visuals (7:01)
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03 - Aggregating measures (4:08)
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04 - Formatting visuals (7:43)
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05 - Sorting data logically (2:41)
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06 - Filtering visuals (7:52)
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07 - Adding color themes (8:24)
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08 - Leveraging conditional formatting (4:20)
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09 - Creating table calculations (8:11)
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10 - Challenge Creating visualizations (0:39)
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11 - Solution Creating visualizations (6:59)
07 - 6. Configuring Dashboards
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01 - Introducing visualization best practices (8:47)
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02 - Interacting between visualizations (9:25)
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03 - Drilling down into visuals (5:38)
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04 - Utilizing parameters (7:20)
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05 - Adding on-screen controls (8:15)
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06 - Creating stories (4:02)
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07 - Leveraging ML Insights (6:52)
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08 - Challenge Configuring dashboards (0:26)
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09 - Solution Configuring dashboards (8:15)
08 - 7. Sharing Your Analysis
09 - Conclusion
