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Data analytics using Microsoft Power BI
Getting started with Data analytics
Introduction
Overview of data analysis
Roles in Data
Introduction
The flow of work in Power BI
Use of Power BI
Getting started with Power BI
Getting started with Data analytics (9:05)
Roles in Data analytics (9:44)
Getting started with power bi (10:34)
Building blocks of Power BI (5:09)
Power BI Interface (6:16)
Power BI Interface Conti (5:28)
Power BI Service (20:34)
Getting Data
Downloadable Files
Data Connectors
Data Sources (3:14)
Connecting to Excel workbook (3:51)
Connecting to CSV and PDF (4:16)
Connecting to Data from a Folder (5:49)
Connecting to Access Database (1:24)
Connecting to Data from Web (2:03)
Coonecting to Data from Google sheet (2:34)
Preparing Data for Analysis
Downloadable Files
Introduction to Power Query Editor (8:36)
Data Profiling (4:05)
Basic Data Transformation (8:18)
Basic Data Transformation Conti. (7:16)
Appending Queries (6:57)
Appending Data from a Folder (2:14)
Merging Queries (6:35)
Join Kinds (10:12)
Unpivot Columns (4:55)
Summarizing Data with GROUP BY (5:49)
Adding Column: Column from Examples (3:49)
Adding Column: Custom Columns (4:58)
Adding Column: Conditional Column (3:59)
Adding Column: From Number (7:15)
Adding Column: From Date (4:34)
Advanced Editor (5:18)
Reusing M Code (8:51)
Changing Data Source (3:05)
Data Modeling and DAX
Exercise Files
Loading Data (12:06)
Introduction to Power BI Interface (5:22)
Intro Data modeling (9:39)
Creating relationships (9:45)
Autodetect (2:43)
Cardinality (4:36)
Cardinality Part 2 (1:39)
Dimensions and Fact Tables (2:53)
Cross filter Direction (7:31)
Bi-Directional (4:07)
Table Properties (3:56)
Column properties (6:31)
Creating Hierarchies (5:42)
Data Analysis Expression
Dataset
Dataset walkthrough (1:54)
Connecting and Transforming the Data (8:31)
Data Modeling (8:20)
Introduction to DAX (1:05)
DAX Calculations (1:28)
DAX Functions in Power BI (2:28)
DAX Operators (1:15)
Referencing Model objects (2:15)
Using Variables (0:58)
Using variables Demo (6:02)
Adding Comments in DAX (1:16)
Adding Comments in DAX Demo (3:29)
Introduction to calculated tables (2:46)
Using the VALUES Function (4:11)
Using the VALUES Function with Table Input (3:44)
Using the DISTINCT Function (2:51)
Create Date Table with the CALENDAR Function (3:06)
Create Date_Table with CALENDARAUTO (4:27)
Add Columns to a Table with ADDCOLUMNS Function (6:24)
Create a Table with the FILTER Function (4:59)
Using the FILTER Function with Logical operators (5:55)
Calculated Tables Review (1:08)
Introduction to Calculated Columns (3:08)
Add Calculated Column with the IF Function (3:46)
Understanding Row Context (2:02)
Using the RELATED Function to retrieve Data (8:58)
Using the RELATEDTABLE Function (8:00)
Creating Measures Table (3:47)
Introduction to AGGREGATE Functions (1:59)
Using the SUM Function to aggregate values (6:55)
Using the COUNTROWS Function (2:35)
Using the AVERAGE Function (3:55)
Aggregate values using the MIN and MAX Functions (2:26)
Difference between Measures and Calculated Columns (2:18)
Understanding Evaluation Context (2:51)
Understanding FILTER Context (2:47)
How FILTER Context works in Power BI (6:05)
FILTER Context and Cross Filter Direction (5:32)
Introduction to Iterators(X-Aggregators) (1:36)
SUMX Function (7:57)
AVERAGEX Function (2:58)
MINX Function (3:33)
MAXX Function (2:50)
Introduction to the CALCULATE Function (1:00)
Understanding the CALCULATE Function (3:59)
Using the CALCULATE Function Demo 1 (7:54)
Using the CALCULATE Function Demo 2 (4:48)
Using the CALCULATE Function Demo 3 (5:10)
Creating a virtual table with the FILTER Function (11:51)
Introduction to Filter Modifiers (0:53)
Introduction to REMOVEFILTERS (8:32)
Using REMOVEFILTERS with CALCULATE (8:32)
Introduction to the ALL Function (2:24)
Using the ALL Function with CALCULATE (6:33)
Introduction to Time Intelligence (3:46)
Using the PREVIOUSYEAR Function to perform YoY Analysis (6:36)
Using the DATEADD Function (5:21)
Using DATEADD for MoM Analysis (6:28)
Using SAMEPERIODLASTYEAR Function (4:41)
Calculating Running Total with TOTALYTD Function (4:20)
Running Totals with different Fiscal Year (3:23)
Using the TOTALMTD Function (2:35)
Using the DATESYTD Function (4:20)
Introduction to RANKX (2:14)
RANKX Demo (7:02)
TopN Function Introduction (2:09)
Creating table with TopN Function (6:54)
Live session: Advanced Visualization
Power BI Visuals Guide
Power BI Visuals Guide Power BI Files
Introduction to Power BI Visuals (10:49)
The Card Visual (18:06)
The Card Visual_Question (5:09)
The KPI Visual (12:31)
The KPI Visual Part 2 (6:31)
The KPI Visual_Question (2:42)
The Multi-row Card (3:56)
Creating Multi-Row Card (2:48)
Columns and Bar charts (12:17)
The Gauge (9:55)
Pie and Doughnut (10:12)
Combo chart (10:24)
100% stacked charts (4:38)
Waterfall chart (4:11)
Funnel chart (9:08)
The Q and A visual (15:04)
Decomposition tree (15:27)
Key influencers (10:35)
Smart Narrative (9:59)
Custom Visuals (4:20)
Edit Interactions (11:01)
Object Alignments (5:09)
Artificial Intelligence Visualizations
Introduction (1:03)
Resources (4:08)
Explain increases and decreases
Apply insights in Power BI to explain fluctuations in visuals
Explain increases and decrease Video (8:29)
Adding insights to report (2:27)
Naural Language with Q&A visual
Intoduction to Q & A visual (3:39)
Features of Q&A Visual (2:48)
Teach Q&A to understand questions (3:49)
Define terms and synonyms (5:42)
Create Q&A featured questions (4:30)
Turning Q&A into a standard visualization (2:29)
Create smart narrative summaries
Create smart narrative summaries (7:26)
Decomposition tree visuals in Power BI
Introduction to Decomposition (5:09)
AI Split (6:42)
Create key influencers visualizations
The Key influencers visual (16:21)
Anomaly Detection
Introduction to anomaly detection
Getting started with anomaly detection
Finding anomalies
Interpreting anomaly detection results
Limitation and considerations
Demo (5:03)
Apply clustering techniques.
Find clusters in datasets (8:47)
Guided Project
Guided Project Sample (3:26)
Datasets
Connecting the Data (4:34)
Performing Data transformation (2:40)
Adding Calculations (9:26)
Loading the Data (1:46)
Data modeling(Calculated Columns) (7:27)
Adding calculated Tables (9:16)
Creating measures (13:32)
Time Intelligence Calculations (11:05)
Introduction to Visualization (15:03)
Dashboard Layout (12:39)
Key Performance Indicators (7:21)
Working the Slicers pane (6:00)
Visualization 1 (17:03)
Grouping Data (4:50)
Visualization 2 (9:58)
Visualizing trend with KPI visual (3:49)
Editing visual interactions (2:54)
Sharing the report (1:19)
Dashboard Design version 2 (6:35)
Guided Project 2 - Designing Financial Analysis Dashboard
Connecting and importing the Dataset (3:05)
Transform and Load Data (5:02)
Data Modeling (11:22)
Data Analysis with DAX (7:03)
Time intelligence calculations (5:54)
Time intelligence part 2 (3:49)
Report development - Report Theme (6:13)
Report_Development - Background Design (9:59)
Data visualization - Key Perfomance Indicators (8:14)
Data visualization - Breakdown of KPIs (6:11)
Data visualization - Breakdown of KPIs 2 (17:50)
Data visualization - Profit Margin by Segment (6:14)
Sharing and Consuming report - Export to PDF (2:54)
Export report as Powerpoint Presentation (5:19)
Sharing report via Email (2:44)
Sharing report on Microsoft Teams (1:16)
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Sharing report on Microsoft Teams
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