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    Curriculum

    • 11 Sections
    • 168 Lessons
    • 8 Hours
    Expand all sectionsCollapse all sections
    • Introduction
      1
      • 1.1
        Introduction to certification and exam
    • Seting up Power BI Desktop
      3
      • 2.1
        Installing Power BI Desktop
      • 2.2
        Our first look at the interface
      • 2.3
        Very Imp. – Enable all preview features
    • Power BI Lifecycle
      3
      • 3.1
        What is ETL?
      • 3.2
        ETL in Power BI
      • 3.3
        Power BI Lifecycle
    • Get or Connect to Data
      29
      • 4.1
        Connecting to a CSV File
      • 4.2
        Power Query Interface
      • 4.3
        Renaming Fields and Data Types
      • 4.4
        Column Data Quality
      • 4.5
        Column Profile and Distribution
      • 4.6
        Dropping and Preserving Rows and Columns
      • 4.7
        Split Columns
      • 4.8
        Format Tool
      • 4.9
        Merge Columns
      • 4.10
        Transform vs. Add Column
      • 4.11
        Extract Tool
      • 4.12
        Conditional Columns
      • 4.13
        Duplicating Columns and Adding Indexes
      • 4.14
        Date Tool
      • 4.15
        Numerical Tools
      • 4.16
        Statistics and Count Rows
      • 4.17
        Append Queries
      • 4.18
        Group
      • 4.19
        Pro Tip – Connect to a Folder!
      • 4.20
        Change the Data Source Settings
      • 4.21
        Loading a JSON File
      • 4.22
        Creating Calculated/Custom Columns
      • 4.23
        Quick Note on Custom Columns
      • 4.24
        Enable / Disable Load
      • 4.25
        Understanding Duplicate vs. Reference Queries
      • 4.26
        Resolve data import errors
      • 4.27
        Pro Tip – Wheel Icon in Applied Steps!
      • 4.28
        Configure Data Loading Settings
      • 4.29
        Bringing it all together!
    • Data Modelling
      28
      • 5.1
        Normalization
      • 5.2
        Primary Keys
      • 5.3
        Foreign Keys
      • 5.4
        Fact and Dimension Tables
      • 5.5
        Star Schema
      • 5.6
        Snowflake Schema
      • 5.7
        What’s a Join?
      • 5.8
        Merge Queries
      • 5.9
        Cardinality
      • 5.10
        Configuring our Data Model – Part 1
      • 5.11
        Configuring our Data Model – Part 2
      • 5.12
        Create our own Fact and Dimension Tables from a De-normalized dataset
      • 5.13
        Understanding Data Source Privacy Levels
      • 5.14
        Practical: Setting Privacy Levels
      • 5.15
        Connecting to a Database
      • 5.16
        Change Data Source Settings: Credentials
      • 5.17
        Creating Parameters
      • 5.18
        Choose between DirectQuery and Import Modes – Part 1
      • 5.19
        Choose between DirectQuery and Import Modes – Part 2
      • 5.20
        Composite Models and Dual Storage Mode
      • 5.21
        Practical – DirectQuery, Import and Dual Storage Modes
      • 5.22
        Configure table properties
      • 5.23
        Configure column properties
      • 5.24
        Understanding the Filter Direction – Theory
      • 5.25
        Understanding the Filter Direction – Practical
      • 5.26
        Auto-Date Time & Common Date Tables – Theory
      • 5.27
        Common Date Tables – Practical
      • 5.28
        Implement Role Playing Dimensions
    • Visualization and Formatting
      33
      • 6.1
        Looking at our new semantic model
      • 6.2
        Canvas Settings
      • 6.3
        Cards for KPIs
      • 6.4
        Pro Tip – Use the format painter
      • 6.5
        Clustered Column/Bar Chart – Part 1
      • 6.6
        Clustered Column/Bar Chart – Part 2
      • 6.7
        Stacked Bar Chart + Ribbon Charts
      • 6.8
        Line Charts – Part 1
      • 6.9
        Line Charts – Part 2
      • 6.10
        Line & Clustered Bar Chart
      • 6.11
        Line & Stacked Bar Chart (Combo Chart)
      • 6.12
        Area Chart & Stacked Area Chart
      • 6.13
        Stacked Area Chart – Variation
      • 6.14
        Pie Chart
      • 6.15
        Donut Chart
      • 6.16
        Treemap
      • 6.17
        Gauge
      • 6.18
        Scatter, Bubble and Dot Plot Chart
      • 6.19
        Tables
      • 6.20
        Matrix
      • 6.21
        Apply conditional formatting
      • 6.22
        Conditional Formatting – Imp. Note
      • 6.23
        Format – Properties Tab
      • 6.24
        Filters
      • 6.25
        Glimpse of Power BI Service for Header Icons and Filters
      • 6.26
        Slicers
      • 6.27
        New Slicers – List, Button and Text
      • 6.28
        Sync Slicers
      • 6.29
        Apply and customize a theme
      • 6.30
        Apply sorting to visuals
      • 6.31
        Create custom tooltips
      • 6.32
        Paginated Reports
      • 6.33
        Summary of the different visuals
    • DAX
      31
      • 7.1
        What is DAX?
      • 7.2
        Taking a look at DAX resources
      • 7.3
        Calculated Columns using DAX
      • 7.4
        Text functions – Part 1
      • 7.5
        Text functions – Part 2
      • 7.6
        Logical Functions – Part 1
      • 7.7
        Logical Functions – Part 2
      • 7.8
        RELATED() Function
      • 7.9
        Understanding Implicit Measures
      • 7.10
        Implicit Measures – Practical
      • 7.11
        Explicit Measures – Theory
      • 7.12
        Explicit Measures – Practical
      • 7.13
        Create single aggregation measures – Part 1
      • 7.14
        Create single aggregation measures – Part 2
      • 7.15
        Use basic statistical functions
      • 7.16
        Understanding Iterator Functions
      • 7.17
        Use the CALCULATE() function
      • 7.18
        KEEPFILTERS()
      • 7.19
        REMOVEFILTERS() and ALL()
      • 7.20
        ALLSELECTED()
      • 7.21
        USERELATIONSHIP()
      • 7.22
        Create calculated tables using DAX – Part 1
      • 7.23
        Create calculated tables using DAX – Part 2
      • 7.24
        Introduction to Time Intelligence in Power BI
      • 7.25
        Implement Time Intelligence measures – Part 1
      • 7.26
        Implement Time Intelligence measures – Part 2
      • 7.27
        Implement Time Intelligence measures – Part 3
      • 7.28
        Create Semi-additive measures
      • 7.29
        Create Calculation groups
      • 7.30
        Create a measure by using quick measures
      • 7.31
        Create visual calculations by using DAX
    • Visualize and Analyse the Data
      11
      • 8.1
        Drill Down
      • 8.2
        Edit and configure interactions between visuals
      • 8.3
        Configure bookmarks
      • 8.4
        Group and layer visuals by using the Selection pane
      • 8.5
        Configure navigation for a report
      • 8.6
        Configure drill through navigation
      • 8.7
        Configure export settings
      • 8.8
        Design reports for mobile devices
      • 8.9
        Enable personalized visuals in a report
      • 8.10
        Design and configure Power BI reports for accessibility
      • 8.11
        Configure automatic page refresh
    • Optimization
      4
      • 9.1
        Identify poorly performing measures, relations, and viz using Perform Analyzer
      • 9.2
        Improve performance by identifying and removing unnecessary rows and columns
      • 9.3
        Improve performance by reducing granularity & optimizing data types
      • 9.4
        optimization
    • Identify Pattern and Trends
      5
      • 10.1
        Use the Analyze feature in Power BI
      • 10.2
        Use grouping
      • 10.3
        Use binning and clustering
      • 10.4
        Use AI visuals + detect outliers and anomalies
      • 10.5
        Use reference lines, error bars, and forecasting
    • Manage and Secure Power BI
      20
      • 11.1
        Power BI Licensing
      • 11.2
        Power BI Service interface walkthrough
      • 11.3
        Create and configure a workspace
      • 11.4
        Practical – Deploy a new workspace
      • 11.5
        Assign workspace roles
      • 11.6
        Configure item-level access
      • 11.7
        Looking at semantic model configurations
      • 11.8
        Connect to Sharepoint and trigger a refresh
      • 11.9
        Identify when a gateway is required
      • 11.10
        Download the On-Prem Data Gateway
      • 11.11
        Configure a semantic model scheduled refresh
      • 11.12
        Using Shared / Published semantic models
      • 11.13
        Publish, import, or update items in a workspace
      • 11.14
        Create dashboards
      • 11.15
        Configure and update a workspace app
      • 11.16
        Promote or certify Power BI content
      • 11.17
        Apply sensitivity labels
      • 11.18
        Implement row-level security roles (Static RLS)
      • 11.19
        Implement row-level security roles (Dynamic RLS)
      • 11.20
        Configure subscriptions and data alerts
    This content is protected, please login and enroll in the course to view this content!
    Create Semi-additive measures
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    Create a measure by using quick measures
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