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Description

The comprehensive introduction to Microsoft Power BI,
fully updated for 2021 and covering many of the topics required for the exam DA-100
.
Master  Power BI Desktop, the Power BI service & Power BI mobile. This user-friendly course is designed to familiarize you with Microsoft Power BI’s  business intelligence capabilities in the most logical order.
The course consists of 30 sections, arranged into seven groups that reflect the way in which Microsoft Power BI works and the order in which operations are carried out: Getting Started, Connecting to Data, Data Wrangling, Data Modelling, DAX formulas, Visualization, and Publishing & Sharing.
Each of the 30 sections in this course starts with an overview and ends with a section summary which recaps the key topics covered and reminds you where these techniques fit into the overall Microsoft Power BI cycle.
So, take your time and work your way slowly but surely through the course material; and when you’re done, you should find that you know Micrososft Power BI pretty well.
INTERACTIVE  PDF
The course also includes a fully interactive PDF file containing hundreds of backlinks to the exact point in the video where that topic was discussed.
EXAM DA-100 COVERAGE AND MAPPING
Although this course is aimed at beginners, it covers a lot of the topics required for the Microsoft DA-100 exam. At the end of each section, we'll highlight which topics have been covered, so you can start checking them off your list.
CUSTOMIZABLE COURSE DURATION
If you are too busy to complete the whole course straightaway, no problem. We have shortened versions of the course created for people just like you.
There are three of these shortened courses.
The
Executive Overview

course (6 hours)
is designed for users who want to get up to speed on Power BI as quickly as possible, without going into too much detail.
The
Report Developer course (6 hours)
will suit anyone who will be focusing on creating Power BI reports based on datasets created by their IT department or by other colleagues.
And the
Dataset Developer course (9 hours)
is for people in the opposite camp, those who will be responsible for developing datasets from which their colleagues can build reports.
GETTING STARTED
The first group of sections is, naturally enough, Getting Started. This is where you’ll get up and running and download all of the resources you’ll need; and where you’ll get an overview of the Power BI product, Microsoft Power BI tenants and Power BI licenses.
CONNECTING TO DATA
Then we dive straight into using Power BI and the first business intelligence skill you need to master: connecting to data sources.
In these five sections, you’ll learn how to bring data into Power BI from Text Files, CSVs and Excel Files; as well as how to connect to a Folder of Data, either on your own file system or in a SharePoint library, and automatically combine all the files inside the folder into a single table.
You’ll also learn how to Connect to data on websites and how to scrape data from the web page itself.
And, naturally, you’ll get plenty of practice in connecting to Power BI’s most frequent data partner: SQL Server. You’ll learn how to work in import, DirectQuery and composite modes and how to retrieve data from both views and database tables, as well as by executing SQL statements.
DATA WRANGLING
Once you’re comfortable with getting data into Power BI, we’ll move on to the next stage in the Power BI cycle: Data Wrangling.
It’s very rare that the data you connect to is already optimized for reporting; so our four sections on data cleansing and transformation will fully familiarize you with using Power Query, the utility built into Power BI whose user-friendly interface allows you to carry out powerful and sophisticated transformation with just a few mouse clicks, as well as how to edit the underlying M language code generated by the interface.
DATA MODELLING
After mastering the first two steps in your Power BI journey, connecting to data and data cleansing, you’ll be ready to move on to the next stage: data modelling.
In this group of sections, you’ll learn how to combine the various tables that you need into a single entity called a data model.
DAX FORMULAS
Having created a data model, our next group of sections focuses on using the DAX language to add insights and enhancements.
We’ll look at the three types of calculation which you can create using the DAX language:
Calculated columns
Calculated tables
And measures
And we’ll get to grips with the most important function in the DAX language: the CALCULATE function.
And we’ll end the section by looking at DAX time intelligence functions which enable you to compare calculations based on different time periods, to provide such insights as year-on-year growth and year to date sales.
VISUALIZATION
Once we have built our data model, we’ll move on to the next phase in the Power BI development cycle: visualization and report creation.
We’ll start with what I like to call the big-picture visuals, those which give your audience with key metrics at a glance. As you’ll see in this section Power BI has three big picture visuals: the card, the KPI visual and the gauge.
And, of course, we’ll talk about many other visuals and visualization techniques as we work through these sections.
We’ll even look at using DAX measures to enhance the user experience by making titles change dynamically as users interact with them.
PUBLISHING AND SHARING
OK, so now we have a report, in our last group of sections, we will look at how we can make our content available to our intended audience.
First, we’ll look at publishing from Power BI Desktop into the Power BI service.
Then, you’ll learn how to create dashboards in the Power BI service and the different ways of adding content to them.
You’ll learn how to create app workspaces and how to grant access to fellow report developers, so that your team can collaborate on the creation of content; and how the different strategies for sharing that content throughout the entire organisation.
And, in our section on Power BI mobile, you’ll learn how to create reports and dashboards which are optimised for mobile viewing.
                              ************************************************************************************
AS A BONUS FOR COMPLETING THIS COURSE, YOU'LL ALSO GET ACCESS TO THE ULTIMATE POWER BI EXAM DA-100 PREP COURSE.
The Ultimate Power BI Exam DA-100 Prep Course
is the course that's tailor-made for your DA-100 exam preparation. And there has never been a better time to prepare!
Microsoft is currently providing a discounted certification exam to anyone whose livelihood has disrupted due to the COVID-19 crisis. If this includes you, then you can take the exam online for just $15, until 31st December 2021.
Passing the DA-100 exam could be just the ticket for landing your next job in BI or analytics. It helps you stand out from the crowd and this course is all you need to be confident of passing.
Here's how!
If you download the exam skills outline , you'll see that the exam consists of about 110 topics arranged into 14 sections which fall into 5 different categories.
This course is mapped precisely to those 110 topics, so you always know exactly what you're, learning, why you're learning it and which topic it relates to.
This means that don't have to follow the course sequentially.
You can jump straight to those topics which are of particular interest, or which you have difficulty grasping.
There are three components to the course.
First, we have the videos. There's an individual video for each of the 110 topics and you will constantly be aware which topic each video relates to.
Secondly, at the end of each section, we have an in-depth online, text-based revision, over a thousand pages in total.
You'll find this feature particularly useful if you find that reading helps you to remember or if English is not your first language.
And, thirdly, we have exam questions, over 100 questions in total.
These questions have been carefully designed to be similar to exam questions and when you get a question right or wrong, you'll be given tips as to why this could not be the right answer, as well as a link to the video in which the subject matter in that question was covered.
So, as you can see the course includes a lot of reinforcement learning.
And this means this course doesn't just qualify you to pass the exam DA-100 exam. If anything, it over-qualifies you!
So, sign up for the course now and sail through the DA-100 exam with no problems.
Who this course is for:
This course is suitable for anyone who needs to become familiar with Microsoft's Power BI product, whether for work, study or career.

What you'll learn

How to use Power BI Desktop to import and model data and create reports.

How to use the Power BI service for the creation of dashboards, collaboration and sharing of content.

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Section 1: Welcome
7
1.1-1.0: Welcome to the Course
1.2-1.1: Download the Course Files
1.3-1.2: Downloading the Interactive PDF
1.4-Shortened Course Versions (for Busy People)
1.5-Executive Overview Course (6 Hours)
1.6-Report Developer Course (6 Hours)
1.7-Dataset Developer Course (9 Hours)
2-2. Getting Started
8
2.1-2.0: Welcome to Section 2
2.2-2.1: Installing SQL Server
2.3-2.2: Installing the Sample Databases
2.4-2.3: What is Power BI
2.5-2.4: The Power BI Tenant
2.6-2.5: Power BI Licensing
2.7-Share your Thoughts
2.8-2.6: Summary of Section 2
3-Section 3: Connecting to Text Files
6
3.1-3.0: Welcome to Section 3
3.2-3.1: Connecting to Delimited Text Files
3.3-3.2: Using UTF-8 Encoding
3.4-3.3: Connecting to Files in SharePoint
3.5-3.4: Quick Practice
3.6-3.5: Summary of Section 3
4-Section 4. Connecting to Excel data
8
4.1-4.0: Welcome to Section 4
4.2-4.1: Excel Data Objects
4.3-4.2: Hidden Sheets
4.4-4.3: Blank Columns
4.5-4.4: Password
4.6-4.5: Total Row
4.7-4.6: Quick Practice
4.8-4.7: Summary of Section 4
5-Section 5. Connecting to a Folder of Data
7
5.1-5.0: Welcome to Section 5
5.2-5.1: Connecting to a Folder of Data
5.3-5.2: Using a Sample File
5.4-5.3: Quick Practice
5.5-5.4: Connecting to SharePoint folders
5.6-5.5: Accessing SharePoint sub-folders
5.7-5.6: Summary of Section 5
6-Section 6. Connecting to Web Data
5
6.1-6.0: Welcome to Section 6
6.2-6.1: Connecting to a Web URL
6.3-6.2: Connecting to web page data
6.4-6.3: Quick Practice
6.5-6.4: Summary of Section 6
7-Section 7. Connecting to SQL Server
8
7.1-7.0: Welcome to Section 7
7.2-7.1: Overview of Connecting to SQL Server
7.3-7.2: Importing SQL Server Views
7.4-7.3: Using SQL Statements
7.5-7.4: DirectQuery Mode
7.6-7.5: Composite Models
7.7-7.6: Storage Mode
7.8-7.7: Summary of Section 7
8-Section 8. Splitting and Combining
5
8.1-8.0: Welcome to Section 8
8.2-8.1: Removing Spaces by Splitting
8.3-8.2: Splitting by Character Transition
8.4-8.3: Combining Columns
8.5-8.4: Summary of Section 8
9-Section 9. Extracting text
5
9.1-9.0: Welcome to Section 9
9.2-9.1: Extracting character ranges
9.3-9.2: Text Between Delimiters
9.4-9.3: Text Before Delimiter
9.5-9.4: Summary of Section 9
10-Section 10. Transforming report data
6
10.1-10.0: Welcome to Section 10
10.2-10.1: Removing Unwanted Rows
10.3-10.2: Fill Down
10.4-10.3: Unpivot Columns
10.5-10.4: Quick Practice
10.6-10.5: Summary of Section 10
11-Section 11. Combining tables
5
11.1-11.0: Welcome to Section 11
11.2-11.1: Append Queries
11.3-11.2: Merge Queries
11.4-11.3: Merge Queries Left Anti
11.5-11.4: Summary of Section 11
12-Section 12. Data Modelling Fundamentals
10
12.1-12.0: Welcome to Section 12
12.2-12.1: Data Tables
12.3-12.2: Calculated Tables
12.4-12.3: Data Columns
12.5-12.4: Calculated Columns
12.6-12.5: Relationships
12.7-12.6: Measures
12.8-12.7: Hierarchies
12.9-12.8: Rows of Data
12.10-12.9: Summary of Section 12
13-Section 13. Creating Fact and Dim Tables
8
13.1-13.0 Welcome to Section 13
13.2-13.1: Creating a Schema for Power BI
13.3-13.2: Creating Views for Power BI
13.4-13.3: Creating a Power BI Login
13.5-13.4: Connecting to Views
13.6-13.5: Using Relationship Columns
13.7-13.6: Using Merge Queries
13.8-13.7: Summary of Section 13
14-Section 14. Date Tables
7
14.1-14.0: Welcome to Section 14
14.2-14.1: Disabling Auto Date/Time
14.3-14.2: Creating a Date Table in Power Query
14.4-14.3: Using an External Date Table
14.5-14.4: Creating a DAX Date Table
14.6-14.5: Mark as Date Table
14.7-14.6: Summary of Section 14
15-Section 15. Relationships
6
15.1-15.0: Welcome to Section 15
15.2-15.1: Creating Relationships Automatically
15.3-15.2: Creating Relationships Manually
15.4-15.3: Creating a Date Column Relationship
15.5-15.4: Creating Concatenated Column Relationships
15.6-15.5: Summary of Section 15
16-Section 16. Hierarchies and Groups
8
16.1-16.0: Welcome to Section 16
16.2-16.1: Creating a Date Hierarchy
16.3-16.2: Hierarchy Shortcut
16.4-16.3: Creating Business Hierarchies
16.5-16.4: Creating Groups
16.6-16.5: Creating Bins
16.7-16.6: Creating Informal Hierarchies
16.8-16.7: Summary of Section 16
17-Section 17. Calculated Columns
6
17.1-17.0: Welcome to Section 17
17.2-17.1: Calculated vs Computed Columns
17.3-17.2: The DAX RELATED Function
17.4-17.3: The DAX RELATEDTABLE Function
17.5-17.4: Calculated Columns and Visuals
17.6-17.5: Summary of Section 17
18-Section 18. Calculated Tables
6
18.1-18.0: Welcome to Section 18
18.2-18.1: CALENDAR and CALENDARAUTO
18.3-18.2: The ADDCOLUMNS Function
18.4-18.3: The SUMMARIZE Function
18.5-18.4: The FILTER Function
18.6-18.5: Summary of Section 18
19-Section 19. Measures
10
19.1-19.0: Welcome to Section 19
19.2-19.1: Creating a Table for Measures
19.3-19.2: Measures vs Implicit Measures
19.4-19.3: Using the SUMX Function
19.5-19.4: Using the AVERAGEX Function
19.6-19.5: Comparing Actual to Target
19.7-19.6: Calculating gross profit margin
19.8-19.7: Comparing Margin to Industry Average
19.9-19.8: Aggregating a Virtual Table
19.10-19.9: Summary of Section 19
20-Section 20. The CALCULATE Function
5
20.1-20.0: Welcome to Section 20
20.2-20.1: Using CALCULATE with Booleans
20.3-20.2: Using CALCULATE with FILTER
20.4-20.3: Using CALCULATE with ALL
20.5-20.4: Summary of Section 20
21-Section 21: DAX Time Intelligence Functions
8
21.1-21.0: Welcome to Section 21
21.2-21.1: DATESYTD, DATESMTD
21.3-21.2: SAMEPERIODLASTYEAR
21.4-21.3: The DATEADD Function
21.5-21.4: PARALLELPERIOD
21.6-21.5: Running Total
21.7-21.6: The DATESINPERIOD Function.mp4
21.8-21.7: Summary of Section 21
22-Section 22. Big Picture visuals
7
22.1-22.0: Welcome to Section 22
22.2-22.1: The Card Visual
22.3-22.2: The KPI Visual
22.4-22.3: Creating a Horizontal Slicer
22.5-22.4: The Gauge Visual
22.6-22.5: Grouping Visual Interaction
22.7-22.6: Summary of Section 22
23-Section 23. Drill-Down and Drill-Through
11
23.1-23.0: Welcome to Section 23
23.2-23.1: Creating New Pages
23.3-23.2: Adding Drill-Down to a Visual
23.4-23.3: Using the Table Visual
23.5-23.4: Top N Customers
23.6-23.5: The Treemap Visual
23.7-23.6: Configuring Visual Interactions
23.8-23.7: Preparing a Drill-Through Page
23.9-23.8: Creating a Drill-Through Button
23.10-23.9: Configuring a Tooltip Page
23.11-23.10: Summary of Section 23
24-Section 24. Further Visualization Practice
9
24.1-24.0: Welcome to Section 24
24.2-24.1: Creating a Trend Line Chart
24.3-24.2: Creating a Drill-Down Treemap
24.4-24.3: Top 5 Bar Charts
24.5-24.4: Hierarchical slicer
24.6-24.5: Customer Analysis Cards
24.7-24.6: Customer Analysis Table
24.8-24.7: Synchronizing Slicers
24.9-24.8: Summary of Section 24
25-Section 25. Dynamic Titles and Conditional Formatting
6
25.1-25.0: Welcome to Section 25
25.2-25.1: The SELECTEDVALUE Function
25.3-25.2: Concatenating Dynamic Text
25.4-25.3: Conditional Formatting Rules
25.5-25.4: Conditional Formatting Measures
25.6-25.5: Summary of Section 25
26-Section 26. Publishing to the Power BI Service
5
26.1-26.0: Welcome to Section 26
26.2-26.1: Preparing a Report for Publishing
26.3-26.2: MyWorkspace and App Workspaces
26.4-26.3: Editing in the Power BI Service
26.5-26.4: Summary of Section 26
27-Section 27. Power BI Dashboards
6
27.1-27.0: Welcome to Section 27
27.2-27.1: Dashboards and Reports Compared
27.3-27.2: Creating and Branding a Dashboard
27.4-27.3: Pinning Visuals to a Dashboard
27.5-27.4: Using Pin Live Page
27.6-27.5: Summary of Section 27
28-Section 28. Collaboration and Sharing
11
28.1-28.0: Welcome to Section 28
28.2-28.1: Collaboration and Sharing Overview
28.3-28.2: App Workspace Permissions
28.4-28.3: Uploading Excel Workbooks
28.5-28.4: Publishing an App
28.6-28.5: The App Consumer Experience
28.7-28.6: Unpublishing an App
28.8-28.7: Deleting an App from your App List
28.9-28.8: Updating an App
28.10-28.9: Sharing Individual Items
28.11-28.10: Summary of Section 28
29-Section 29. Power BI Mobile
9
29.1-29.0: Welcome to Section 29
29.2-29.1: Getting Started with Power BI Mobile
29.3-29.2: The Default Mobile Experience
29.4-29.3: Using the Selection Pane
29.5-29.4: Creating Mobile-Only Content
29.6-29.5: Creating a Mobile Layout in Power BI Desktop
29.7-29.6: Creating a Mobile Layout in the Power BI Service
29.8-29.7: Creating a Mobile Dashboard Layout
29.9-29.8: Summary of Section 29
30-Section 30. Refreshing Data
5
30.1-30.0: Welcome to Section 30
30.2-30.1: On premises gateway configuration
30.3-30.2: Adding a gateway to an Existing Cluster
30.4-30.3: Adding A SQL Server Data Source
30.5-30.4: Summary of Section 30
31-Conclusion
1
31.1-Congratulations on completing the course
32-BONUS! DA-100 - 1: Get data from different data sources
18
32.1-How to Use this Course
32.2-Download the Course Files
32.3-Installing SQL Server
32.4-Installing the Sample Databases
32.5-Resolving Data Source Issues
32.6-1: Identify and connect to a data source
32.7-2. Change Data Source Settings
32.8-3. Select a Shared Dataset or Create a Local Dataset
32.9-4. Select a Storage Mode
32.10-5. Choose an Appropriate Query Type
32.11-6. Identify Query Performance Issues
32.12-7. Use Microsoft Dataverse
32.13-8. Use Parameters
32.14-9. Use or create a PBIDS file
32.15-10-Use or Create a Data Flow
32.16-11-Connect to a Dataset Using the XMLA Endpoint
32.17-Text-Based Revision - Section 1: Get data from different data sources
32.18-Quiz for Section 1. Identify And Connect to a Data Source
33-BONUS! DA-100 - 2. Profile the Data
6
33.1-1. Identify Data Anomalies
33.2-2. Examine Data Structures
33.3-3. Interrogate Column Properties
33.4-4. Interrogate Data Statistics
33.5-Text-Based Revision - Section 2: Profile the data
33.6-Quiz for Section 2. Profile the Data
34-BONUS! DA-100 - 3. Clean, Transform, and Load the Data
12
34.1-1. Resolve Inconsistencies, Unexpected or Null Values, and Data Quality Issues
34.2-2. Apply User-Friendly Value Replacements
34.3-3. Identify and Create Appropriate Keys for Joins
34.4-4. Evaluate and Transform Column Data Types
34.5-5. Apply Data Shape Transformations to Table Structures
34.6-6. Combine Queries
34.7-7. Apply User-Friendly Naming Conventions to Columns and Queries
34.8-8. Leverage Advanced Editor to Modify Power Query M Code
34.9-9. Configure Data Loading
34.10-10. Resolve Data Import Errors
34.11-Text-Based Revision - Section 3: Clean, transform, and load the data
34.12-Quiz for Section 3. Clean, Transform, and Load the Data
35-BONUS! DA-100 - 4. Design a Data Model
12
35.1-1. Define the Tables
35.2-2. Configure Table and Column Properties
35.3-3. Define Quick Measures
35.4-4. Flatten Out a Parent-Child Hierarchy
35.5-5. Define Role-Playing Dimensions
35.6-6. Define a Relationship's Cardinality and Cross-Filter Direction
35.7-7. Design the Data Model to Meet Performance Requirements
35.8-8. Resolve Many-to-Many Relationships
35.9-9. Create a Common Date Table
35.10-10. Define the Appropriate Level of Data Granularity
35.11-Text-Based Revision - Section 4: Design a data model
35.12-Quiz for Section 4. Design a Data Model
36-BONUS! DA-100 - 5. Develop a Data Model
8
36.1-1. Apply Cross-Filter Direction and Security Filtering
36.2-2. Create Calculated Tables
36.3-3. Create Hierarchies
36.4-4. Create Calculated Columns
36.5-5. Implement Row-Level Security Roles
36.6-6. Set Up the Q&A Feature
36.7-Text-Based Revision - Section 5: Develop a data model
36.8-Quiz for Section 5. Develop a Data Model
37-BONUS! DA-100 - 6. Create Measures by Using DAX
8
37.1-1. Use DAX to Build Complex Measures
37.2-2. Use CALCULATE to Manipulate Filters
37.3-3. Implement Time Intelligence Using DAX
37.4-4. Replace Numeric Columns with Measures
37.5-5. Use Basic Statistical Functions to Enhance Data
37.6-6. Create Semi-Additive Measures
37.7-Text-Based Revision - Section 6: Create measures by using DAX
37.8-Quiz for Section 6. Create Measures by Using DAX
38-BONUS! DA-100 - 7. Optimize Model Performance
7
38.1-1. Remove Unnecessary Rows and Columns
38.2-2. Identify Poorly Performing Measures, Relationships, and Visuals
38.3-3. Improve Cardinality Levels by Changing Data Types
38.4-4. Improve Cardinality Levels Through Summarization
38.5-5. Create And Manage Aggregations
38.6-Text-Based Revision - Section 7: Optimize Model Performance
38.7-Quiz for 7. Optimize Model Performance
39-BONUS! DA-100 - DA100-8. Create Reports
13
39.1-1. Add Visualization Items To Reports
39.2-2. Choose An Appropriate Visualization Type
39.3-3. Format And Configure Visualizations
39.4-4. Import A Custom Visual
39.5-5. Configure Conditional Formatting
39.6-6. Apply Slicing And Filtering
39.7-7. Add An R Or Python Visual
39.8-8. Configure The Report Page
39.9-9. Design And Configure For Accessibility
39.10-10. Configure Automatic Page Refresh
39.11-11. Create a paginated report
39.12-Text-Based Revision - Section 8: Create reports
39.13-Quiz for Section 8. Create Reports
40-BONUS! DA-100 - 9. Create Dashboards
8
40.1-1. Set Mobile View
40.2-2. Manage Tiles On A Dashboard
40.3-3. Configure Data Alerts
40.4-4. Use The Q&A Feature
40.5-5. Add A Dashboard Theme
40.6-6. Pin A Live Report Page To A Dashboard
40.7-Text-Based Revision - Section 9: Create Dashboards
40.8-Quiz for Section 9. Create Dashboards
41-BONUS! DA-100 - 10. Enrich Reports For Usability
13
41.1-1. Configure Bookmarks
41.2-2. Create Custom Tooltips
41.3-3. Edit And Configure Interactions Between Visuals
41.4-4. Configure Navigation For A Report
41.5-5. Apply Sorting
41.6-6. Configure Sync Slicers
41.7-7. Use The Selection Pane
41.8-8. Use Drillthrough And Cross Filter
41.9-9. Drilldown Into Data Using Interactive Visuals
41.10-10. Export Report Data
41.11-11. Design Reports For Mobile Devices
41.12-Text-Based Revision - Section 10: Enrich Reports for Usability
41.13-Quiz for Section 10. Enrich Reports For Usability
42-BONUS! DA-100 - 11. Enhance Reports To Expose Insights
11
42.1-1. Apply Conditional Formatting
42.2-2. Apply Slicers And Filters
42.3-3. Perform Top N Analysis
42.4-4. Explore Statistical Summary
42.5-5. Use The Q&A Visual
42.6-6. Add A Quick Insights Result To A Report
42.7-7. Create Reference Lines By Using Analytics Pane
42.8-8. Use The Play Axis Feature Of A Visualization
42.9-9. Personalize Visuals
42.10-Text-Based Revision - Section 11: Enhance Reports To Expose Insights
42.11-Quiz for Section 11. Enhance Reports To Expose Insights
43-BONUS! DA-100 - 12. Perform Advanced Analysis
8
43.1-1. Identify Outliers
43.2-2. Conduct Time Series Analysis
43.3-3. Use Groupings And Binnings
43.4-4. Use The Key Influencers To Explore Dimensional Variances
43.5-5. Use The Decomposition Tree Visual To Break Down A Measure
43.6-6. Apply AI Insights
43.7-Text-Based Revision - Section 12: Perform Advanced Analysis
43.8-Quiz for Section 12. Perform Advanced Analysis
44-BONUS! DA-100 - 13. Manage Datasets
9
44.1-1. Configure A Dataset Scheduled Refresh
44.2-2. Configure Row-Level Security Group Membership
44.3-3. Providing Access To Datasets
44.4-4. Configure Incremental Refresh Settings
44.5-5. Promote Or Certify A Dataset
44.6-6. Identify Downstream Dataset Dependencies
44.7-7. Configure Large Dataset Format
44.8-Text-Based Revision - Section 13: Manage Datasets
44.9-Quiz for Section 13. Manage Datasets
45-BONUS! DA-100 - 14. Create And Manage Workspaces
11
45.1-1. Create And Configure A Workspace
45.2-2. Recommend A Development Lifecycle Strategy
45.3-3. Assign Workspace Roles
45.4-4. Configure And Update A Workspace App
45.5-5. Publish, Import, Or Update Assets In A Workspace
45.6-6. Apply Sensitivity Labels To Workspace Content
45.7-7. Use Deployment Pipelines
45.8-8. Configure Subscriptions
45.9-9. Promote or Certify Power BI Content
45.10-Text-Based Revision - Section 14: Create And Manage Workspaces
45.11-Quiz for Section 14. Create And Manage Workspaces
46-Bonus ! DA100 - 15. Case Studies
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46.1-Case Studies Overview
46.2-DA-100 Case Study 1
46.3-DA-100 Case Study 2
46.4-DA-100 Case Study 3
47-MORE BONUS CONTENT! - Welcome
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47.1-Welcome to Power BI Parameters, Templates and Row Level Security
47.2-Download Bonus Course Files Here
48-MORE BONUS CONTENT! - Section 1: Parameters and Templates
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48.1-1.1: Overview of Parameters and Templates
48.2-1.2: The solution which we will create
48.3-1.3: Creating dynamic titles
48.4-1.4: Parameterizing a filepath
48.5-1.5: Creating static list parameters
48.6-1.6: Creating dynamic list query parameters
48.7-1.7: Using parameters to filter data
48.8-1.8: Using Merge Queries for filtering
48.9-1.9: Exporting and using a Power BI template
48.10-1.10: Modifying parameters in the Power BI service
49-MORE BONUS CONTENT! - Section 2: Row-Level Security
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49.1-2.1: Row-Level Security Overview
49.2-2.2: Creating roles
49.3-2.3: Implementing RLS in the Power BI service
49.4-2.4: Linking row-level security to login
49.5-2.5: Implementing username RLS