Power BI | Business Intelligence & Data Visualization Tool by Microsoft

power-bi-training

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Course Duration

40 Hrs.

Live Project

1 Project

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Guaranteed

Training Format

Live Online /Self-Paced/Classroom

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Unlock Powerful Business Insights with Microsoft Power BI
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Instructor:

Jeremy Cioara

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Career Advice

Duration

48 hours

Power BI is a powerful business analytics service developed by Microsoft that enables users to visualize and share insights from their data. It empowers business owners, analysts, and data professionals to make informed decisions by transforming raw data into interactive dashboards and reports.

Power BI connects to a wide range of data sources and presents data in a user-friendly, visually appealing format, making complex data more accessible and actionable.

Key features of Power BI include:

Data Connectivity:
Power BI can connect to hundreds of data sources, including Excel, SQL Server, Azure, SharePoint, Salesforce, Google Analytics, and more. It supports both on-premises and cloud-based data sources, enabling comprehensive data analysis.

Data Modeling and Transformation (Power Query):
With built-in Power Query, users can clean, transform, and combine data from multiple sources into a structured model. It supports powerful data transformation operations such as merging, appending, pivoting, and custom calculations.

Interactive Dashboards and Reports:
Power BI allows users to create interactive dashboards and detailed reports with drag-and-drop functionality. These visualizations help stakeholders quickly understand trends, patterns, and performance metrics.

Custom Visualizations:
In addition to the standard visual tools, Power BI supports a marketplace of custom visuals. Users can also build their own visuals using JavaScript to meet specific business needs.

DAX (Data Analysis Expressions):
DAX is a formula language in Power BI that allows users to create calculated columns, measures, and custom tables. It enables advanced analytics through logical functions, time intelligence, and statistical operations.

Real-Time Analytics:
Power BI supports real-time data streaming and dashboards, enabling users to monitor business activities and KPIs as they happen, which is especially useful in scenarios like monitoring IoT devices or social media trends.

Power BI Service (Cloud):
The cloud-based Power BI Service allows users to publish, share, and collaborate on reports and dashboards across an organization. It includes features such as scheduled refreshes, data-driven alerts, and workspace access control.

Power BI Mobile App:
Users can access and interact with their dashboards and reports on the go using the Power BI mobile app, available on Android and iOS devices. The mobile view is optimized for small screens and supports notifications and offline access.

Security and Access Control:
Power BI integrates with Azure Active Directory (AAD) for user authentication and access management. Row-level security (RLS) allows administrators to control data visibility based on user roles.

Power BI Embedded:
Power BI reports and dashboards can be embedded into custom applications, portals, or websites using Power BI Embedded. This allows developers to deliver analytics capabilities within other platforms.

AI-Powered Features:
Power BI incorporates AI capabilities such as natural language queries (Q&A), image recognition, text analytics, and machine learning integration through Azure ML, making it easier to discover insights without deep technical knowledge.

Integration with Microsoft Ecosystem:
Power BI works seamlessly with other Microsoft tools like Excel, Teams, PowerApps, and Azure, enabling a unified and productive data environment.

Education introduction

Section 1

  • Power BI Desktop & Power Query
    • Getting Started
    • Class Introduction (BI Basics)
    • Class Introduction (Power BI Desktop Overview)
    • Data Discovery with Power BI Desktop
    • Transforming Data (Basic Transforms)
    • Transforming Data (Add Column From Example)
    • Transforming Data (Appending Queries)
    • Transforming Data (Merging Queries)
    • Transforming Data (Combine Files)
    • Transforming Data (M Query Basics)
    • Transforming Data (Parameters and Templates)
    • Transforming Data (Other Query Features)
    • Introduction to Modeling Data
    • Creating the Data Model (Modeling Basics)
    • Creating the Data Model (Model Enhancements)
    • Creating the Data Model (What If Parameters)
    • Creating Calculated Columns and Tables (DAX Basics)
    • Creating Calculated Columns and Tables (Navigation Function)
    • Creating Calculated Columns and Tables (Calculated Tables)
    • Creating Calculated Measures (Measure Basics)
    • Creating Calculated Measures (Time Intelligence Functions)

Section 2

  • Power BI Service & Visualizations & Power BI Mobile
    • Introduction to Visualizing Data
    • Creating Basic Reports with the Power BI Desktop
    • Creating Interactive Reports (Adding Slicers for Filters)
    • Creating Interactive Reports (Visualizing Tabular Data)
    • Creating Interactive Reports (Visualizing Categorical Data)
    • Creating Interactive Reports (Visualizing Data Trends)
    • Creating Interactive Reports (Visualizing Categorical and Trend Data Together)
    • Creating Interactive Reports (Visualizing Geographical Data with Maps)
    • Creating Interactive Reports (Visualizing Goal Tracking)
    • Creating Interactive Reports (Using Custom Visuals)
    • Creating Interactive Reports (Digital Storytelling)
    • Creating Interactive Reports (Other Features)
    • Using the Power BI Service (Deploying to the Power BI Service)
    • Using the Power BI Service (Creating and Sharing Dashboards)
    • Using the Power BI Service (Using Power BI Q&A)
    • Using the Power BI Service (Setting up App Workspaces)
    • Using the Power BI Service (Subscriptions and Alerts)
    • Using the Power BI Service (Excel Integration)
    • Using the Power BI Service (Export and Embed Options)
    • Refreshing the Data (Refreshing Data Overview)
    • Refreshing the Data (Installing the Data Gateway)
    • Refreshing the Data (Scheduling a Data Refresh)
    • Mobile BI (Power BI Mobile Overview)
    • Mobile BI (Designing Reports and Dashboards for Mobile)
    • Mobile BI (Interacting with the Power BI Mobile App)
    • Creating the Bookmarks
    • Use the Selection

Section 3

  • Get Data/Basic Dax
    • Excel
    • CSV
    • Flat File
    • Web
    • SQL Server
    • Getting Started
    • Data Modeling Basics (Overview)
    • Data Modeling Basics (Tabular)
    • What is DAX (Overview)
    • What is DAX (Tabular)
    • Creating Calculated Columns (Basics)
    • Creating Calculated Columns (Basics Continued)
    • Navigation Functions
    • Conditional and Logical Functions
    • Creating Calculated Measures
    • Time Intelligence (Overview)
    • Time Intelligence (Time Intelligence Functions)
    • Using X-Functions and A-Functions
    • Table Functions
    • DAX as a Query Language

Section 4

  • Advance Dax/Projects
    • Class Introduction (Class Files)
    • Class Introduction (Why Advanced DAX)
    • Working with Variables
    • Working with Filter Context (What is Filter Context?)
    • Working with Filter Context (CALCULATE)
    • Working with Filter Context (Overriding Filter Context)
    • Working with Filter Context (FILTER)
    • Working with Filter Context (FILTER and ALL)
    • Working with Filter Context (ALLEXCEPT)
    • Working with Filter Context (Totals)
    • CALCULATE and Time Intelligence (YTD and MTD)
    • CALCULATE and Time Intelligence (Rolling 12 Months Total)
    • CALCULATE and Time Intelligence (Rolling 3 Month Average Total)
    • Semi-Additive Measures (Overview)
    • Semi-Additive Measures (Opening and Closing Balance)
    • Row Context (Understanding Row Context and Context Transition)
    • Row Context (Working with Iterator Functions)
    • Nested Row Context
    • Error Handling
    • Security (Implementing Basic Security)
    • Security (Dynamic Security)
    • Security (Implementing Basic Security – Tabular)
    • Security (Dynamic Security – Tabular)
    • Role Playing Dimensions (Multiple Table Import)
    • Role Playing Dimensions (USERELATIONSHIP)
    • Advanced DAX Function (CONTAINS)
    • Advanced DAX Function (FIND)
    • Advanced DAX Function (SEARCH and SUBSTITUTE)
    • Advanced DAX Function (ALLSELECTED)
    • Advanced DAX Function (RANKX)
    • Q&A
    • Key Influencers
    • Decomposition Tree
    • Smart Narrative
    • Create the Workspace
    • Publish the Dashboard
    • Access Controls
    • Power BI Projects
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ASHOK KUMAR

Founder & CEO

More than 16 Year Working experience in testing with CMM level orgranizations i.e Sapient, Saxo Bank, IBM & Fareportal. Currently working as Enterpreneur with Askme Technologies & driving training vertical Askme Training. Involved in setting up of manual, automation testing and Agile teams. Implemented various automation projects using Selenium, QTP, SOAP UI & JMeter etc. Trained thousands of students for Manual Testing, ISTQB Certification, Agile Testing,QTP & Selenium. Conducted various Online trainings, corporate trainings, College trainings and face to face trainings across the Globe.

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