Module 1 - INTRODUCTION TO POWER BI

In the first module of this Power BI course, you will learn the basics of Power BI

1.1 Introduction to Business Intelligence (BI)

1.2 Stages of business intelligence (BI)

1.3 Use cases of BI

1.4 Various BI tools

1.5 Overview of Data warehouse & concepts

1.6 Introduction to Power BI

1.7 Why Power BI

1.8 Power BI Components

1.9 Power BI pricing structure

1.10 Building blocks of Power BI

1.11 Architecture of Power BI

1.12 Power BI vs Tableau vs QlikView

1.13 Introduction of Power BI Desktop

1.14 Installation of Power BI Desktop

1.15 The key features of Power BI workflow

1.16 Process of creating reports in Power BI

Hands-on Exercise –

Demo of building a Power BI dashboard Source data from web
Publish to cloud

Create power tables

Module 2 - DATA EXTRACTION

In the second module of this Power BI certification, you will learn the basics of Data Extraction

2.1 Overview of Power BI desktop

2.2 Data sources in Power BI

2.3 Using files (excel, pdf, csv, etc.) as a data source

2.4 Using SaaS connectors

2.5 Extracting data from folders, and databases

2.6 Working with Azure SQL database and database sources

2.7 Connecting to Analysis Services

2.8 Other data sources (OData, web, SharePoint etc.)

2.9 Python & R script in Power BI

2.10 Introduction of power query editor

2.11 Advance editor

2.12 Query dependency editor

Hands-on Exercise –

Connect to a database Import data from an excel file Connect to SQL Server Analysis Service
Connect to Power Query

Connect to SQL Azure Connect to Hadoop

Module 3 - DATA TRANSFORMATION – SHAPING & COMBINING DATA

3.1 Shaping data using Power Query Editor

3.2 Formatting data

3.3 Transformation of data

3.4 Understanding of Data types

3.5 Data profiling for data quality check

3.6 Naming conventions & best practices to consider

3.7 Working with Parameters

3.8 Merge Query

3.9 Append Query

3.10 Group by of data (aggregation of data)

3.11 Applied steps (query settings)

3.12 Duplicate & Reference tables

3.13 Transpose of data

3.14 Fill

3.15 Pivot & Un-pivot of data

3.16 Custom columns

3.17 Conditional columns

3.18 Replace data from the tables

3.19 Split columns values

3.20 Move columns & sorting of data

3.21 Detect data type, count rows & reverse rows

3.22 Promote rows as column headers

3.23 Hierarchies in Power BI

3.24 M query

Hands-on Exercise –

Install Power BI Desktop and configure the settings Use Query editor
Write a power query Transpose a table

Module 4 - DATA MODELLING & DAX

4.1 Introduction of relationships

4.2 Creating relationships

4.3 Cardinality

4.4 Cross filter direction

4.5 Use of inactive relationships

4.6 Introduction of DAX

4.7 Why DAX is used

4.8 DAX syntax

4.9 DAX functions

4.10 Context in DAX

4.11 Calculated columns using DAX

4.12 Measures using DAX

4.13 Calculated tables using DAX

4.14 Learning about table, information, logical, text, iterator,

4.15 Time intelligence functions (YTD, QTD, MTD)

4.16 Cumulative values, calculated tables, and ranking and rank over groups

4.17 Date and time functions

4.18 DAX advanced features

Hands-on Exercise –

Create a Power Pivot Apply filters

Use advanced functionalities like date and time functions Embed Power Pivot in Power BI Desktop
Create DAX queries for calculate column, tables and measures

Module 5 - DATA VISUALIZATION WITH ANALYTICS

5.1 Deep dive into Power BI data visualization

5.2 Understanding Power View and Power Map

5.3 Data visualization techniques

5.4 Page layout & Formatting

5.5 Power BI Desktop visualization

5.6 Formatting and customizing visuals

5.7 Visualization interaction

5.8 Custom visualization in Power BI

5.9 Top-down and bottom-up analytics

5.10 Drill down

5.11 Drill through

5.12 Page navigations

5.13 Bookmarks

5.14 Selection pane to show/hide visuals

5.15 Comparing volume and value-based analytics

5.16 Combinations charts (dual axis charts)

5.17 Filter pane

5.18 Slicers

5.19 Use of Hierarchies in drill down analysis

5.20 Theme for corporate standards

5.21 Power BI template for design reusability

5.22 Mastering the best practices

5.23 Performance analyzer in Power BI for monitoring performance of report

5.24 Power BI Q&A (Natural Language Query visual)

5.25 Sync slicers

5.26 Tooltips & custom tooltips

5.27 Tables & matrix

5.28 Conditional formatting on visuals

5.29 Waterfall chart, KPI, Donut chart, Scatter chart

5.30 Geographical data visualization using Maps

Hands-on Exercise –

Create a Power View and a Power Map Format and customize visuals
Deploy Power View on SharePoint and Excel

Implement top-down and bottom-up analytics Create Power View reports, Charts, Scorecards Add a custom visual to report
Authenticate a Power BI web application Embed dashboards in applications
Categorize, filter and sort data using Power View Create hierarchies
Use date hierarchies Use business hierarchies Resolve hierarchy issues

Module 6 - POWER BI SERVICE (Cloud), Q & A AND DATA INSIGHTS

6.1 Introduction to Power BI Service

6.2 Introduction of workspaces

6.3 Dashboard

6.4 Creating & Configuring Dashboards

6.5 Dashboard theme

6.6 Reports vs Dashboards

6.7 Building workspace Apps

6.8 Sharing reports & dashboards

6.9 Introduction to Power Q & A

6.10 Ask questions about your data using Natural Query Language

6.11 Getting answers in the form of charts, graphs, and data discovery methodologies

6.12 Configure custom questions for Q&A like FAQ

6.13 Ad-hoc analytics building

6.14 Power Q&A best practices

6.15 Quick Insights

6.16 Subscribe, Alerts, Usage statics, Related content

6.17 Design reports on Power BI Service

6.18 Collaboration using Power BI Service

6.19 Row Level Security (RLS)

6.20 Introduction of Paginated Reports

6.21 Introduction of Power BI Report Server

Hands-on Exercise –

Write queries using natural language

Get answers in the form of charts, graphs Build ad hoc analytics
Pin a tile and a range to dashboard

Module 7 - POWER BI SETTINGS, ADMINISTRATION & DIRECT CONNECTIVITY

7.1 Getting to understand Power BI Desktop settings

7.2 Aggregating data from multiple data sources

7.3 Power BI Service settings

7.4 Power BI Admin Portal

7.5 Administration activities

7.6 Power BI usage analysis

7.7 Introduction of Office 365 admin activities

7.8 Introduction of Data Gateway

7.9 Installation & Configuration of data gateways

7.10 Scheduling auto data refresh

7.11 Managing groups, row-level security, datasets, reports, and dashboards

7.12 Real time data analysis using Direct Connectivity

7.13 Direct Query vs Import Mode

Hands-on Exercise –

Configure security for dashboard Deploy data gateways Aggregate data from multiple data sources
Schedule data refresh

Manage groups and row level security, datasets, reports and dashboards Work with calculated measures

Module 8 - EMBEDDED POWER BI WITH API & POWER BI MOBILE

8.1 Introduction to embedded Power BI

8.2 Create embedded code

8.3 Manage embedded code

8.4 Integration of Power BI in SharePoint

8.5 Introduction of Power BI API

8.6 Power BI Embedded playground

8.7 Introduction to Power BI Mobile

8.8 Creating mobile based reports & dashboards

8.9 Optimizing report for Power BI mobile app

8.10 Features of Power BI mobile app

8.11 Introduction of integrating Power BI & Excel

8.12 Power BI Analyze in Excel

Hands-on Exercise –

Design Power BI reports for Mobile app Power BI embedded demo

Module 9 - POWER BI ADVANCE & POWER BI PREMIUM

Coming to the last module of this Power BI certification course, you will learn advance Power BI and Power BI Premium.

9.1 Introduction of Power BI Premium

9.2 Power BI Premium per user

9.3 Power BI Premium features

9.4 Introduction to Data Flow

9.5 Create Data Flow

9.6 Advantages of Data Flow

9.7 Create reports using Data Flow

9.8 Introduction to Power BI Deployment Pipelines

9.9 Create Deployment Pipelines

9.10 Benefits of Deployment Pipelines

9.11 Introduction of Sensitivity Labels

9.12 Introduction of Power BI Goals feature

9.13 Incremental data load in Power BI

9.14 Power BI best practice rules to improve performance

Hands-on Exercise –

Demo of Data Flow

Demo of deployment pipelines

Demo of incremental load of data in Power BI.