| Module 01: Introduction |
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Welcome! |
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00:01:00 |
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What is Power BI? |
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00:03:00 |
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Download & Installing Power BI Desktop |
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00:04:00 |
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Getting to know the interface |
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00:03:00 |
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Mini Project: Transform Data |
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00:07:00 |
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Mini Project: Visualize Data |
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00:05:00 |
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Mini Project: Creating a Data Model |
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00:07:00 |
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Course Outline: What will you learn in this course? |
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00:05:00 |
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How to learn best with this course? |
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00:03:00 |
| Module 02: Preparing our Project |
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Creating our initial project file |
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00:04:00 |
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Working with the attached project files |
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00:04:00 |
| Module 03: Data Transformation - The Query Editor |
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Exploring the Query Editor |
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00:06:00 |
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Connecting to our data source |
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00:07:00 |
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Editing rows |
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00:08:00 |
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Changing data types |
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00:08:00 |
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Replacing values |
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00:03:00 |
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Close & Apply |
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00:03:00 |
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Connecting to a csv file |
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00:03:00 |
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Connecting to a web page |
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00:05:00 |
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Extracting characters |
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00:06:00 |
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Splitting & merging columns |
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00:09:00 |
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Creating conditional columns |
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00:06:00 |
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Creating columns from examples |
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00:09:00 |
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Merging Queries |
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00:17:00 |
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Pivoting & Unpivoting |
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00:06:00 |
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Appending Queries |
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00:08:00 |
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Practice & Solution: Population table |
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00:15:00 |
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The Fact-Dimension-Model |
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00:09:00 |
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Practice: Load the dimension table |
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00:04:00 |
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Organizing our queries in groups |
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00:03:00 |
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Entering data manually |
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00:05:00 |
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Creating an index column |
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00:03:00 |
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Workflow & more transformations |
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00:05:00 |
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Module summary |
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00:05:00 |
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Exercise 1 – Instruction |
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00:02:00 |
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Exercise 1 – Exercise Solution |
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00:11:00 |
| Module 04: Data Transformation - Advanced |
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Advanced Editor – Best practices |
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00:09:00 |
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Performance: References vs. Duplicating |
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00:10:00 |
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Performance: Enable / Disable Load & Report Refresh |
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00:05:00 |
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Group by |
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00:05:00 |
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Mathematical Operations |
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00:05:00 |
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Run R Script |
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00:15:00 |
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Using Parameters to dynamically transform data |
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00:06:00 |
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M formula language: Basics |
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00:07:00 |
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M formula language: Values, Lists & Tables |
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00:14:00 |
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M formula language: Functions |
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00:13:00 |
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M formula language: More functions & steps |
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00:05:00 |
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Exercise 2 – Instructions |
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00:01:00 |
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Exercise 2 – solution |
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| Module 05: Creating a Data Model |
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Understanding the relationship |
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00:05:00 |
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Create & edit relationships |
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One-to-many & one-to-one relationship |
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Many-to-many (m:n) relationship |
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00:08:00 |
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Cross filter direction |
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Activate & deactivate relationships |
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Model summary |
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00:03:00 |
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Exercise 3 Create Model |
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00:02:00 |
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Exercise 3 Solution |
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00:02:00 |
| Module 06: Data Visualization |
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Our first visual |
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00:08:00 |
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The format tab |
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00:12:00 |
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Understanding tables |
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00:10:00 |
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Conditional formatting |
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00:09:00 |
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The Pie Chart |
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00:06:00 |
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All about the filter visual |
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00:13:00 |
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The filter pane for developers |
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00:09:00 |
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Cross filtering & edit interactions |
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00:04:00 |
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Syncing slicers across pages |
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00:07:00 |
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Creating drill downs |
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00:08:00 |
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Creating drill throughs |
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00:07:00 |
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The tree map visual |
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00:07:00 |
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The decomposition tree |
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00:05:00 |
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Understanding the matrix visual |
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00:05:00 |
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Editing pages |
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00:07:00 |
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Buttons & Actions |
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00:09:00 |
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Bookmarks to customize your report |
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00:10:00 |
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Analytics and Forecasts with line charts |
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00:10:00 |
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Working with custom visuals |
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00:07:00 |
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Get data using R Script & R Script visual |
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00:08:00 |
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Asking questions – Q&A visual |
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00:04:00 |
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Wrap up – data visualization |
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00:08:00 |
| Module 07: Power BI & Python |
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Python in Power BI – Plan of attack |
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00:03:00 |
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Setting up Python for Power BI |
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00:03:00 |
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Transforming data using Python |
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00:11:00 |
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Creating visualizations using Python |
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00:08:00 |
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Violin plots, pair plots & ridge plots using Python |
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00:15:00 |
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Machine learning (BayesTextAnalyzer) using Python |
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00:00:00 |
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Performance & Troubleshooting |
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00:03:00 |
| Module 08: Storytelling with Data |
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Introduction |
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00:01:00 |
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Show Empathy & Identify the Requirement |
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00:03:00 |
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Finding the Most Suitable KPI’s |
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00:02:00 |
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Choose an Effective Visualization |
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00:04:00 |
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Make Use of Natural Reading Pattern |
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00:03:00 |
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Tell a Story Using Visual Cues |
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00:05:00 |
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Avoid Chaos & Group Information |
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00:02:00 |
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Warp Up – Storytelling with Data |
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00:02:00 |
| Module 09: DAX - The Essentials |
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Introduction |
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00:03:00 |
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The project data |
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00:04:00 |
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Measures vs. Calculated Columns |
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00:15:00 |
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Automatically creating a date table in DAX |
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00:08:00 |
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CALENDAR |
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00:05:00 |
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Creating a complete date table with features |
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00:04:00 |
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Creating key measure table |
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00:03:00 |
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Aggregation functions |
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00:06:00 |
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The different versions of COUNT |
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00:14:00 |
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SUMX – Row based calculations |
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00:09:00 |
| Module 10: DAX - The CALCULATE function |
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CALCULATE – The basics |
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00:11:00 |
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Changing the context with FILTER |
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00:07:00 |
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ALL |
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00:08:00 |
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ALL SELECTED |
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00:03:00 |
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ALL EXCEPT |
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00:07:00 |
| Module 11: Power BI Service - Power BI Cloud |
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How to go on now? |
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00:03:00 |
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Power BI Pro vs Premium & Signing up |
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00:04:00 |
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Exploring the interface |
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00:04:00 |
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Discovering your workspace |
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00:03:00 |
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Connecting Power BI Desktop & Cloud |
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00:04:00 |
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Understanding datasets & reports |
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00:03:00 |
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Working on reports |
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00:04:00 |
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Updating reports from Power BI Desktop |
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00:04:00 |
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Creating and working with workspaces |
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00:07:00 |
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Installing & using a data gateway |
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00:13:00 |
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Get Quick Insights |
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00:03:00 |
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Creating dashboards |
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00:04:00 |
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Sharing our results through Apps |
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00:10:00 |
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Power BI Mobile App |
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00:05:00 |
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Creating the layout for the Mobile App |
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00:04:00 |
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Wrap up – Power BI Cloud |
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00:07:00 |
| Module 12: Row-Level Security |
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Introduction |
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00:03:00 |
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Creating a Row-Level Security |
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00:05:00 |
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Row-Level Security in the Cloud |
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00:04:00 |
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Row-Level Security & Data Model |
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00:05:00 |
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Dynamic Row-Level Security |
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00:07:00 |
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Dynamic Many-to-Many RLS |
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00:04:00 |
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Hierarchical Row-Level Security |
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00:13:00 |
| Module 13: More data sources |
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JSON & REST API |
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00:10:00 |
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Setting up a local MySQL database |
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00:14:00 |
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Connecting to a MySQL database in Power BI |
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00:05:00 |
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Connecting to a SQL database (PostgreSQL) |
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00:05:00 |
| Module 14: Next steps to improve & stay up to date |
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Congratulations & next steps |
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00:06:00 |
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The End |
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00:01:00 |
