Power BI Certification Course Overview

Power BI certification training will help you get the most out of Power BI, enabling you to solve business problems and improve operations. This course helps you master the development of dashboards from published reports, discover better insight from the data, & create practical recipes on the various tasks that you can do with Microsoft Power BI.

Lesson 01: Course Introduction

1.01 Welcome to Power BI Course

1.02 Skills Covered

1.03 Business Intelligence and Data Analytics High level Overview

1.04 Introduction to Power BI

1.05 Different Power BI Offerings

1.06 Installing Power BI

Lesson 02: Get Data From Different Data Sources

2.01 Identify and Connect to a Data Source

2.02 Change Data Source Settings

2.03 Select a Shared Dataset

2.04 Overview of Storage Modes

2.05 Select a Storage Mode

2.06 Choose an Appropriate Query Type

2.07 Use Microsoft Dataverse

2.08 Use Parameters

2.09 Use or Create a PBIDS file

Lesson 03: Profile The Data

3.01 Examine Data Structures

3.02 Interrogate Column Properties

3.03 Interrogate Data Statistics

Lesson 04: Clean Transform and Load the Data

4.01 Overview of Data Transformation

4.02 Resolve Inconsistencies Unexpected or Null Values and Data Quality Issues

4.03 Apply User friendly Value Replacements

4.04 Evaluate and Transform Column Data Types

4.05 Apply Data Shape Transformations to Table Structures

4.06 Combine Queries

4.07 Apply User friendly Naming Conventions to Columns and Queries

4.08 Leverage Advanced Editor to Modify Power Query M code

Lesson 05: Design a Data Model

5.01 Define the Tables

5.02 Configure Table and Column Properties

5.03 Flatten out a Parent child Hierarchy

5.04 Define Role playing Dimensions

5.05 Create a Common Date Table

5.06 Defining Relationship Cardinality and Cross Filter Direction

Lesson 06: Develop a Data Model

6.01 Overview of DAX

6.02 Overview of Row and Filter Context

6.03 Apply Cross filter Direction and Security Filtering

6.04 Create Calculated Tables

6.05 Overview of Measures

6.06 Create Calculated Columns

6.07 Implement Row level Security Roles

6.08 Set up the Q and A Feature

Lesson 07: Optimize Model Performance

7.01 Remove Unnecessary Rows and Columns

7.02 Identify Poorly Performing Measures Relationships and Visuals

7.03 Improve Cardinality Levels

7.04 Optimize DirectQuery Models

7.05 Create and Manage Aggregations

7.06 Use Query Diagnostics

Lesson 08: Create Reports

8.01 Add Visualization Items to Reports

8.02 Choose an Appropriate Visualization Type

8.03 Format and Configure Visualizations

8.04 Apply Slicing and Filtering

8.05 Add an R or Python Visual

Lesson 09: Create Dashboards

9.01 Set Mobile View

9.02 Manage Tiles on a Dashboard

9.03 Configure Data Alerts

9.04 Use the Q and A Feature

9.05 Add a Dashboard Theme

9.06 Pin a Live Report Page to a Dashboard

Lesson 10: Enhance Reports to Expose Insights

10.01 Perform Top N Analysis

10.02 Explore Statistical Summary

10.03 Use the Q and A Visual

10.04 Add a Quick Insights Result to a Report

10.05 Use the Play Axis Feature of a Visualization

10.06 Personalize Visuals

Lesson 11: Perform Advanced Analysis

11.01 Identify Data Anomalies

11.02 Identify Outliers

11.03 Conduct Time Series Analysis

11.04 Use Groupings and Binnings

11.05 Use the Key Influencers to Explore Dimensional Variances

11.06 Use the Decomposition Tree Visual to Break Down a Measure

11.07 Apply AI Insights

Lesson 12: Manage Semantic Models

12.01 Configure a Dataset Scheduled Refresh

12.02 Configure Row level Security Group Membership

12.03 Configure Incremental Refresh Settings

12.04 Promote or Certify Power BI Datasets

Power BI is one of the leading tools that merges data preparation, data discovery, interactive dashboards and rich visualizations into a single solution. Its capabilities make it an intuitive tool for handling data and getting insights out of it. This blog post aims to highlight the top six reasons why you should choose to utilize business intelligence with Power BI for business analytics and data analytics.

1. Connect your data sources quickly

Power BI not only makes it simple to bring all of your data into one place for easier access but also delivers increased visibility in your reporting efforts. It supports up to 70 connectors, enabling businesses to load data from a variety of popular cloud-based sources, including Azure Data Warehouse, DropBox, Google Analytics, OneDrive, Salesforce CRM as well as Excel spreadsheets, CSV files and data stored on-premises, such as SQL Database.

Additionally, you can leverage pre-built Power BI dashboards in seconds and perform powerful data analysis in minutes using connectors. Moreover, you can easily customize elements further to your liking, or have your data experts import your datasets and develop your dashboards and reports.

2. Become powerful and efficient

Power BI delivers real-time access to critical data via interactive, immersive Power BI dashboards. Hence, users can quickly solve issues and identify opportunities. Various researches have stated that the average weekly savings are 1.25 hours, with total organizational efficiencies exceeding $3.6 million.

The data modeling engine of Power BI is a highly performant database that ensures data is fully loaded into the memory for greatest possible performance. Another interesting fact is that Power BI uses automated data schedules to ensure that data is always up to date, which is a crucial feature that helps end-users with visual reporting. In brief, Power BI provides end-users with a faster and more responsive data analysis experience.

3. Put data governance and security together

Power BI allows you to manage security, user access and security from a single interface, eliminating the need for additional solutions to ensure strict compliance and regulatory standards are met. The service also includes Azure Active Directory (AAD) for user authentication, allowing you to access your data using Single Sign-On (SSO) and your standard Power BI login credentials.

Power BI supports data democratization, which means that the solution gives several users instant access to visual data sources, allowing for customization, analysis and visualization. Technically it’s good to say that Power BI expands the quantity of data that consumers may use without increasing the size of the core IT and analytics team.

4. Deliver real-time data insights

Power BI gives businesses a single platform to suit their self-service and enterprise data analytics requirements. Users may access robust semantic models, an application lifecycle management (ALM) toolset, an open connection architecture, and fixed-layout, pixel-perfect rendered Power BI reports with combined analytics using Power BI. This allows users to receive weekly and monthly updates that improve Power BI features and capabilities, based on thousands of ideas contributed annually from a community of more than half a million members across the world.

5. Explore data in more depth

Since Power BI encourages data democratization, it aids in the development of a data-centric culture within businesses. You can empower your employees to be more data-aware and data-driven. As a result, it also improves employee retention.
Advanced Excel users who are familiar with the Data Analysis Expressions (DAX) formula language can leverage Power BI’s familiar Power Pivot tools like clustering, forecasting, grouping and quick measures to dig deeper into their data and uncover patterns more quickly. Furthermore, several users, including MS Excel users will find Power BI’s powerful toolset easy to onboard, allowing you to use existing organizational expertise and ease into Power BI faster.

6. Find answers to your data questions

Power BI users can generate visualizations and discover insights using natural language search interfaces, without the need for coding. Simply by utilizing the ‘Ask a question’ box that addresses data-specific queries such as ‘what are the recent sales figures for particular region?’ Users then may go deeper into specific insights. Interestingly, Power BI suggests meaningful questions as you write, as well as a preview of a chart or table visualization that best portrays the data you’re looking for. This may appear as a gimmick at first, but with Power BI’s natural language query engine is highly intuitive and effective with Microsoft’s continual improvements.

The potential of Power BI with Dynamics 365 CRM

While we’ve covered Power BI extensively in this blog, Dynamics 365 CRM is another business product that customers all over the world rely on. When the features of Power BI and Microsoft Dynamics 365 are integrated, it produces an unstoppable BI solution. Although many users are satisfied with Dynamics 365 CRM’s reporting capabilities, combining it with Power BI can elevate business intelligence to new heights.
Power BI provides great potential for businesses that don’t need an enterprise-level BI solution. It’s also a good fit for businesses that don’t want to spend a lot of money on high-end equipment. Overall, Power BI provides all of the essential functions that a business intelligence program should have.

Take away

It’s easy to see why businesses are turning to Power BI for improved insights, dynamic dashboards and comprehensive reporting. What is stopping you? Now is the time to leverage Power BI capabilities and accelerate towards business intelligence, improving and delivering data insights across your organization. Check out our Power BI consulting services and reach out to our Power BI consultants to discuss your requirements.

Power BI Course Curriculum

Eligibility

This Power BI course is applicable for people who want to understand how to use the Power BI tools and create customized visual reports. It is also suitable for BI and reporting professionals, data analysts, and professionals working with data in any sector.

Pre-requisites

Learners need to possess an undergraduate degree or a high school diploma. Additionally, a curiosity foro data visualization and a desire to explore the applications of Power BI in data science is highly encouraged.

Benefits

The global business intelligence market size is expected to grow from $ 33.34 billion in 2024 to $ 61.86 billion by 2029, growing at a CAGR of 13.16% during the forecast period. Over the last decade, BI and analytics tools have experienced a substantial surge in market share.