Mô tả

The G Com Solutions Power BI Advanced course is designed to give experienced Power BI users the opportunity to hone their expertise in Power BI by tackling a series of challenging and useful Power BI techniques.


This course assumes that you are already familiar with Power Query and so we dive straight into advanced topics like the optimizing Data Types, column Profiling and writing M language code, as well as discussing advanced data connection techniques used when working with JSON, XML and SharePoint libraries and folders.


The course also provides further practice on data modelling, discussing such topics as role-playing dimensions and use of inactive relationships to cater for multiple significant dates within a main fact table. And, naturally, you will get plenty of additional practice in all aspects of DAX: calculated columns, calculated tables, DAX measures and time-intelligence functions.


As an advanced Power BI report developer, it is also important that you build and utilize datasets in the most efficient manner. In this course, you will learn how to implement data centralization by using PBIDS Files, disabling the export of static data from your reports, creating dataflows and shared Datasets and how to promote and certifying your centralized datasets.


The course also provides advanced visualization practice, and you will be given the opportunity to create a sophisticated sales pipeline dashboard, starting from scratch and using such techniques as dynamic chart titles and colors and Dynamically Showing a Chart.


Then, back in the Power BI service, we discuss the finer points of dashboard tiles: Creating Hyperlinks in a Text Box, working with Image Tiles, Web content tiles, Video Tiles, and Streaming Real-time data by integrating Power Automate functionality.


We then turn our attention to visualizing our data, we look at using the form of visual as well as displaying a hierarchy of images in slices, which enable the user to track the performance of sales managers, as well as individual salespeople. We also look at a useful technique for creating a chart which only becomes visible when a slicer selection is made by the user.


In short, this course will offer Power BI users who are familiar with all of the fundamentals a challenging hands-on workshop, which will expand their familiarity with Power BI best practices, data modelling, visualization and report creation.

Bạn sẽ học được gì

Advanced features of Microsoft Power BI

Extend your knowledge of Power Query

Advanced insights into Power Query and the M language

Advanced data modelling and visualization techniques

Yêu cầu

  • Knowledge of the basics of Power BI Desktop and the Power BI service

Nội dung khoá học

11 sections

01-Advanced Data Connections

10 lectures
0100a-Welcome
02:31
0100b-Download the Course Files
00:07
0101-Navigating Data Structures
03:12
0102-Connecting to JSON Files
05:54
0103-Connecting to XML Files
07:12
0104-Connecting to Files in a SharePoint Library
05:06
0105-Connecting to SharePoint Folders
05:08
0106-Accessing SharePoint Sub-Folders
03:21
0107-Understanding Storage Modes
11:06
0108-Using PBIDS Files
03:36

02-Advanced Power Query

4 lectures
0201-Optimizing Data Types
07:31
0202-Grouping Data
06:04
0203-Column Profiling
09:42
0204-Column Profile Statistics
04:10

03-Examining M Language Code

8 lectures
0301-TableCombine
02:20
0302-TableNestedJoin
02:30
0303-TableRemoveColumns vs TableSelectColumns
03:37
0304-TableUnpivotOtherColumns
02:56
0305-TableReplaceValues
02:13
0306-TableTransformColumnTypes
01:27
0307-TableRenameColumns
08:48
0308-Writing an M Function
14:11

04-Data Centralisation

6 lectures
0401-Disabling Data Export
02:38
0402-Creating a Dataflow
08:14
0403-Creating a Shared Dataset
06:47
0404-Promoting and Certifying Datasets
05:20
0405-Granting Access to Datasets
03:16
0406-Using Microsoft Dataverse
07:36

05-Advanced Data Modelling

4 lectures
0501-Many-to-Many Relationships
11:55
0502-Cross-Filter Direction
16:54
0503-Setting Table Properties
06:44
0504-Setting Field Properties
04:27

06-Advanced DAX

5 lectures
0601-RELATED and RELATEDTABLE
14:25
0602-Using ADDCOLUMNS
05:11
0603-Using SUMMARIZE
08:37
0604-Semi-Additive Measures
05:43
0605-DAX Path Functions
09:54

07-DAX Time Intelligence

6 lectures
0701-DATESYTD and DATESMTD
05:31
0702-SAMEPERIODLASTYEAR
06:42
0703-DATEADD
03:21
0704-PARALLELPERIOD
06:18
0705-Running Total
03:41
0706-DATESINPERIOD
07:04

08-Role Playing Dimensions

10 lectures
0801-Connecting to the data
04:07
0802-Performing Basic Transformations
05:19
0803-Connecting to an External Date Table
10:47
0804-Overview of Relationships
06:06
0805-Engineering a One-to-Many Relationship
10:03
0806-Handling multiple significant dates
07:14
0807-Active and Inactive Relationships
02:41
0808-Using the Default Relationship
02:47
0809-The USERELATIONSHIP Function
06:13
0810-Calculating Key Metrics
06:27

09-Advanced Visualization Practice

11 lectures
0901-Visualizing our Data
03:21
0902-Displaying Top 5 Customers
03:44
0903-Sources of Business
02:51
0904-Displaying the Sales Funnel
03:13
0905-Converted and Lost Business
07:07
0906-Displaying Target vs Actual
06:54
0907-Sales Opportunities by Month
04:43
0908-Displaying Sales Managers
05:23
0909-Displaying Sales People
04:09
0910-Dynamically Showing a Chart
07:58
0911-Optimizing Visual Interactions
04:02

10-Advanced Dashboard Tiles

5 lectures
1001-Creating Hyperlinks in a Text Box
04:00
1002-Creating Image Tiles
01:12
1003-Creating Web-Content Tiles
01:59
1004-Creating Video Tiles
00:59
1005-Streaming Real-Time Data Tiles
07:57

11-Power BI AI Capabilities

5 lectures
1101-The Key Influencers Visual
08:10
1102-The Decomposition Tree Visual
05:10
1103-The Q&A Visual
09:57
1104-Quick Insights
05:18
1105-AI Insights
07:50

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