Data Dashboards in Power BI

Data Dashboards in Power BI
Data Dashboards in Power BI
English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 3h 54m | 0.98 GB

Power BI is a powerful data analytics and visualization tool that allows business users to monitor data, analyze trends, and make decisions. In this course, Helen Wall focuses on the front end of the Power BI application—the dashboard—where users interact with charts and graphs that communicate trends in their data. Throughout this course, Helen steps through how to design and customize the setup of visuals and charts to make it easy to use, understand, and interact with the dashboard model. Learn how to work with data from open-source websites, create visuals such as heatmaps and sparklines, compare multiple variables with trendlines and violin plots, and build engaging maps. To wrap up, she demonstrates how to create and share your finished product: an intuitive, engaging dashboard.

Topics include:

  • Designing visuals and charts
  • Customization options for visuals
  • Drilling into hierarchies
  • Using DAX in Power BI dashboards
  • Setting up custom shapefile mapping
  • Leveraging filter interactions and slicer capabilities
  • Integrating trends into visuals
  • Exporting and sharing dashboards
Table of Contents

1 Power BI ecosystem
2 Things to keep in mind
3 Selecting dashboard colors properly
4 Importing visuals into Power BI
5 Data sources for your analysis
6 Data queries
7 Joining tables in Power BI

Working with Data
8 Utilizing a report theme
9 Table visuals
10 Matrix visuals
11 Drilling into heirarchies
12 Applying static filters
13 Creating lists
14 Creating bins
15 Using DAX in Power BI dashboards
16 Using Quick Measures in Power BI dashboards

Creating Visuals
17 Heatmaps in Power BI
18 Visualizing time-intelligence trends
19 Ranking categorical totals
20 Comparing proportions
21 Creating sparklines to quickly view trends
22 Setting up histograms

Comparing Multiple Variables
23 Examining key performance indicators (KPI)
24 Visualizing trendlines as KPI
25 Forecasting with trendlines
26 Leveraging violin plots to quickly analyze a dataset
27 Visualizing flows with Sankey diagrams
28 Creating a scatter plot

Mapping Options
29 Obtaining shapefiles
30 Setting up custom shapefile mapping
31 Mapping with ArcGIS or ESRI
32 Configuring Mapbox layers to provide more detailed views
33 Mapping flow patterns

Creating Dashboards
34 High-level dashboard
35 Growth Rates dashboard
36 Local dashboard
37 Migration analysis dashboard
38 Adding slicers for filtering
39 Adding nudge prompts to promote interactions
40 Searching the dashboard with a slicer
41 Creating dynamic labels
42 Highlighting key points on the dashboard
43 Customizing tooltips to add visualizations without taking up space
44 Syncing slicers to filter pages
45 Configuring chiclet slicers
46 Showing the Top N rankings

Sharing Dashboards
47 Setting up and formatting phone views
48 Exporting data
49 Creating templates
50 Creating PDF files
51 Uploading to the cloud

52 What can you do now