Power BI Online Training

Power BI Online Training in Hyderabad and Bangalore.

Power BI Course: Comprehensive Overview

Introduction to Power BI

Microsoft Power BI is a leading business analytics tool that empowers users to visualize and analyze data, transforming it into actionable insights. The Power BI course is designed to provide a thorough understanding of this powerful tool, covering its core features, functionalities, and advanced capabilities. Whether you are a beginner or an experienced analyst, this course will equip you with the skills needed to harness the full potential of Power BI for effective data-driven decision-making.

Course Structure

1. Course Introduction
   • Overview of Power BI: Understand the fundamentals of Power BI, its components, and how it integrates with other Microsoft tools.
   • Power BI Ecosystem: Explore the three main components of Power BI—Power BI Desktop, Power BI Service, and Power BI Mobile. Learn their roles and how they interact within the Power BI environment.
2. Getting Data from Different Data Sources
   • Connecting to Data Sources: Learn how to connect Power BI to various data sources including Excel, SQL Server, cloud platforms (e.g., Azure, Salesforce), and web services.
   • Data Import: Master techniques for importing data into Power BI using built-in connectors.
   • Data Blending: Combine data from multiple sources using Power Query to create a unified data model.
3. Cleaning and Transforming Data
   • Data Cleaning Techniques: Address common data issues such as missing values, duplicates, and inconsistencies.
   • Power Query Editor: Use Power Query Editor to perform data transformation tasks, including filtering, grouping, and reshaping data to meet analysis needs.
   • Data Transformation: Learn advanced transformation techniques such as pivoting/unpivoting data, merging queries, and creating calculated columns.
4. Designing a Data Model
   • Creating Relationships: Understand how to establish relationships between different data tables to build a cohesive data model.
   • Data Modeling Concepts: Learn about star and snowflake schemas, and how to design efficient data models for reporting.
   • Hierarchies and Dimensions: Develop hierarchies and manage dimensions to facilitate more intuitive data exploration and reporting.
5. Visualizations in Power BI
   • Basic Visualizations: Create fundamental visualizations like bar charts, line charts, pie charts, and tables. Understand when to use each type based on data insights.
   • Advanced Visualizations: Explore advanced visualizations such as heat maps, tree maps, and geographic maps. Learn how to customize these visualizations to enhance data presentation.
   • Interactive Elements: Implement slicers, filters, and drill-through options to make reports interactive and user-friendly.
6. Advanced Analytics
   • Forecasting and Trend Analysis: Use Power BI’s advanced analytics features to forecast future trends and analyze historical data patterns.
   • Clustering: Apply clustering techniques to segment data and identify patterns.
   • AI Features: Leverage built-in AI capabilities like Q&A and Cognitive Services to gain deeper insights and automate data analysis.
7. DAX Functions
   • Introduction to DAX: Learn Data Analysis Expressions (DAX) for creating custom calculations and aggregations.
   • Basic DAX Functions: Understand fundamental DAX functions such as SUM, AVERAGE, and COUNT.
   • Advanced DAX: Explore advanced DAX functions for creating complex calculations, including time intelligence functions, CALCULATE, and FILTER.
8. Power BI Service
   • Publishing Reports: Learn how to publish reports from Power BI Desktop to Power BI Service.
   • Managing Workspaces and Apps: Understand how to create and manage workspaces, organize reports and dashboards into apps, and control access.
   • Collaboration and Sharing: Discover how to share reports and dashboards with colleagues, set permissions, and collaborate on data insights.
9. Best Practices
   • Design Principles: Follow best practices for designing effective and visually appealing reports and dashboards.
   • Performance Optimization: Learn techniques for optimizing report performance, including data model optimization and efficient DAX calculations.
   • Data Security: Implement data security measures to ensure that sensitive information is protected and compliance is maintained.
10. Advanced Topics
    • Power BI with Other Microsoft Tools: Integrate Power BI with tools such as Azure, SharePoint, and Teams for enhanced functionality and collaboration.
    • Power BI Paginated Reports: Explore Power BI Paginated Reports for complex, printable reports with precise formatting.
    • Power BI Dataflows: Learn how to use Power BI Dataflows to create reusable data transformation processes and streamline data preparation.

Learning Outcomes

Upon completing the Power BI course, participants will have:

• A solid understanding of the Power BI ecosystem and its components.
• Proficiency in connecting to and transforming data from various sources.
• The ability to design effective data models and create interactive visualizations.
• Advanced analytical skills to leverage forecasting, clustering, and AI features.
• Competence in using DAX for custom calculations and reporting.
• Knowledge of Power BI Service for report sharing, collaboration, and management.
• Best practices for designing, optimizing, and securing Power BI reports and dashboards.
• Familiarity with advanced topics such as integration with other Microsoft tools and creating paginated reports.

Key Highlights of the Power BI Course at NEHA InfoTech:

• Course Fees: Competitive pricing with flexible payment options.
• Training and Placement: Job-oriented training with placement assistance.
• Tutorial: Comprehensive tutorials that cover both theory and practical aspects.
• Corporate Training: Tailored training solutions for corporate clients.
• Learning Path: Structured learning paths to guide you through the course.
• Self-Paced Learning: Access to online materials for self-paced learning.
• Hands-on Training: Practical exercises and real-world projects.
• Job-Oriented Training: Focused on skills that are in demand in the job market.
• Course Syllabus: In-depth syllabus covering all aspects of Power BI.
• Training Materials: Access to high-quality training materials and resources.
• Online Demo: Free online demo sessions to give you a preview of the course.
• Project Training: Real-world projects to enhance practical understanding.
• Online Classes: Flexible online classes to suit your schedule.

Q1: What is Power BI, and what are its key features?

A1: Power BI is a business analytics tool developed by Microsoft. It allows users to connect to various data sources, transform and model data, and create interactive reports and dashboards. Key features of Power BI include data visualization, self-service analytics, real-time data access, and natural language querying.

Q2: How does Power BI connect to different data sources?

A2: Power BI can connect to a wide range of data sources, including databases, spreadsheets, cloud-based sources, online services, and more. It offers native connectors for popular data sources and supports direct connections, data import, and live connections.

Q3: What types of visualizations can be created in Power BI?

A3: Power BI provides a variety of visualizations, such as bar charts, line charts, pie charts, tables, maps, scatter plots, treemaps, and more. Users can customize and combine these visualizations to create meaningful and interactive reports.

Q4: Can Power BI handle large datasets and big data?

A4: Yes, Power BI can handle large datasets and big data with its in-memory data model and compression techniques. It can also use DirectQuery or Live Connection to analyze data without importing it, enabling real-time data access.

Q5: How does Power BI support natural language querying?

A5: Power BI offers natural language querying through its Q&A feature. Users can ask questions using plain language, and Power BI will interpret and generate visualizations based on the data.

Q6: How can Power BI be used for collaboration and sharing?

A6: Power BI allows users to publish reports and dashboards to the Power BI service, where they can be shared securely with others. Users can collaborate, comment, and set up data-driven alerts for data updates.

Q7: Can Power BI be integrated with other Microsoft products?

A7: Yes, Power BI integrates seamlessly with other Microsoft products, such as Excel, SharePoint, Teams, and Azure. Users can embed Power BI reports in SharePoint sites or use Power BI within Microsoft Teams.

Q8: How does Power BI support mobile access to reports and dashboards?

A8: Power BI offers native mobile apps for iOS and Android devices, allowing users to access and interact with reports and dashboards on the go. The reports automatically adjust to fit different screen sizes.

Q9: What are the advantages of using Power BI for data analysis?

A9: Power BI provides a user-friendly interface, quick data insights, interactive visualizations, and the ability to combine data from multiple sources. It empowers users to make data-driven decisions faster and gain valuable insights from their data.

Q10: Is Power BI suitable for both beginners and advanced users?

A10: Yes, Power BI is designed to cater to both beginners and advanced users. Beginners can quickly create basic visualizations, while advanced users can leverage DAX (Data Analysis Expressions) for complex calculations and modeling.

Power BI Course Content

Lesson 01: Course Introduction

• What is Business Intelligence: Understanding the basics of BI and its importance.
• Welcome to Power BI Course: Overview of the course structure and goals.
• Introduction to Power BI: An introduction to what Power BI is and its uses.
• Different Power BI Offerings: Explore various Power BI offerings (Desktop, Service, Mobile).
• Components of Power BI: Learn about the key components (Power Query, Power Pivot, Power View).
• Architecture of Power BI: Understand how Power BI is architected.
• Building Blocks of Power BI: Overview of the essential elements (visuals, reports, datasets).
• Installing Power BI: Step-by-step guide to installing Power BI Desktop.

Lesson 02: Get Data From Different Data Sources

• Types of Connections: Explore different types of data connections available.
• Connect to Data from File: How to import data from files like Excel, CSV, etc.
• Connect to Data from Different Data Sources: Importing data from databases, web, cloud, etc.
• Change Data Source Settings: Manage and modify existing data source settings.
• Direct Query, Import, and Live Connection: Understand different data connection modes.

Lesson 03: Clean, Transform, and Load the Data

• Clean Unformatted Data: Techniques for cleaning raw data.
• Power Query Editor User Interface: Navigate and use the Power Query Editor.
• Combine Data – Merge and Append: Combine data from multiple sources.
• Advanced Editor to Modify M Query: Edit M query language for advanced data transformation.
• Use Parameters: Implement parameters to make queries dynamic.
• Use or Create a PBIDS File: Create a PBIDS file for sharing and connecting to data sources.
• Create Calculated Tables and Measures: Create calculated tables and measures for data analysis.
• Rectify Null Values and Data Quality Issues: Handle missing data and improve data quality.
• Evaluate and Transform Column Data Types: Modify and optimize data types.
• Optimize Data Using Group By: Aggregate data efficiently using the Group By function.
• Eliminate Unnecessary Rows and Columns: Clean up the data set by removing unwanted data.
• Create and Invoke Custom Functions: Create custom functions for repeated tasks.
• Use Query Diagnostics: Diagnose and optimize queries for performance.

Lesson 04: Design a Data Model

• Manage Data Relationships: Establish and manage relationships between tables.
• Data Modeling in Power BI: Best practices for creating a robust data model.
• Automatic Relationship Updates: Enable and manage automatic updates of relationships.
• Cardinality Levels: Understanding and managing cardinality in data relationships.
• Cross Filter Direction: Learn about cross-filtering options and their impact on data models.
• Optimizing Data Models: Techniques to optimize data models for performance.
• Create and Manage Aggregations: Set up aggregations for improving query performance.

Lesson 05: Visualizations in Power BI

• Matrixes and Tables: Creating and customizing matrix and table visualizations.
• Slicers: Adding and configuring slicers to filter data.
• Map Visualizations: Create geographical maps and customize them.
• Gauges and Single Number Cards: Use gauges and cards for KPI visualizations.
• Create Scatter, Waterfall, and Funnel Charts: Learn how to create advanced charts.
• Modifying Colors in Charts and Visuals: Customize the appearance of your visualizations.
• Shapes, Text Boxes, and Images: Adding and formatting additional elements to reports.
• What Are Custom Visuals?: Explore and implement custom visuals in Power BI.
• Page Layout and Formatting: Optimize the layout and format of your report pages.
• KPI Visuals: Create and configure Key Performance Indicator visuals.
• Format and Configure Visualizations: Best practices for formatting and configuration.
• Apply Slicing and Filtering: Techniques for slicing and filtering data in visuals.
• Add an R or Python Visual: Integrate R or Python visuals into Power BI.
• Z-Order: Manage the layering of visuals on the report canvas.
• Explore Time-Based Data: Techniques for visualizing time-based data.

Lesson 06: Advanced Analytics

• Different Kinds of Filters in Power BI Desktop: Understanding filter levels (Report, Page, Visual).
• Drill Through: Implement drill-through functionality to explore deeper insights.
• Bins and List in Grouping: Group data using bins and lists.
• Bookmarks: Use bookmarks to capture and save report states.
• Add a Quick Insights Result to a Report: Leverage AI-driven insights in reports.
• Use the Key Influencers to Explore Dimensional Variances: Analyze key factors affecting metrics.
• Use the Decomposition Tree Visual to Break Down a Measure: Break down measures using the decomposition tree.
• Apply AI Insights: Integrate AI insights for advanced analytics.
• Identify Outliers: Use visuals and techniques to identify outliers in data.
• Conduct Time Series Analysis: Perform and visualize time series analysis.
• Use the Q and A Feature: Implement natural language queries using Q&A.
• Set Mobile View: Design reports optimized for mobile devices.

Lesson 07: DAX Functions

• Introduction to DAX: Overview of Data Analysis Expressions (DAX).
• Why is DAX Important?: Understanding the significance of DAX in Power BI.
• DAX Syntax: Learn the syntax and structure of DAX formulas.
• Calculated Columns and Calculated Measures with DAX: Create calculated fields and measures.
• Scope of Usage with DAX: Usability Options: Where and how to use DAX effectively.
• DAX Data Types: Learn about different data types in DAX (Numeric, Boolean, etc.).
• DAX Functions and Types: Explore various types of DAX functions.
• Table Value Functions: Use DAX to return and manipulate table data.
• Filter Functions: Implement filter functions for data segmentation.
• Aggregation Functions: Aggregate data with DAX functions.
• Time Intelligence Functions: Perform date and time-based calculations.
• Information Functions: Retrieve metadata and information about the data.
• Parent-Child Functions: Work with hierarchical data structures.
• Statistical, Text, and Logical Functions: Advanced functions for specific needs.
• Syntax Requirements with DAX: Differences with Excel: Understand the nuances between DAX and Excel formulas.
• Using TOPN, RANKX: Implement ranking and sorting in data sets.
• YTD, QTD, MTD Calculations with DAX: Year-to-date, quarter-to-date, and month-to-date calculations.
• DATESYTD, DATESQTD, DATESMTD: Use specific time functions in DAX.
• ENDOFYEAR, ENDOFQUARTER, ENDOFMONTH: Date functions for period-end calculations.
• FIRSTDATE, LASTDATE, DATESBETWEEN: Retrieve specific dates from a data range.

Lesson 08: Power BI Service

• License Types: Free, Pro, and Premium: Understanding different licensing options.
• Introduction to Power BI Service: Overview of Power BI’s cloud service.
• Create Workspace: Set up workspaces for collaboration.
• Create Dashboard: Build and share interactive dashboards.
• Create Datasets: Manage and use datasets within Power BI Service.
• Create Data Gateways: Set up data gateways for on-premise data access.
• Cloud and On-Premise Data Sources: Integrate cloud and on-premise data sources.
• Create Power BI Apps: Package and distribute content as Power BI apps.
• Row Level Security: Implement and manage security at the data level.
• Row Level Security in Power BI Desktop: Set up RLS in desktop environments.
• Row Level Security in Power BI Service: Manage RLS in the Power BI service.
• Static vs. Dynamic Row Level Security: Differences and use cases.
• How to Subscribe to Reports: Automate report subscriptions and delivery.
• How to Schedule a Refresh: Set up data refresh schedules for reports and datasets.
• Q&A Natural Language Processing Option in Power BI: Use Q&A for natural language queries.
• Quick Insights: Get automated insights on your data.
• Dynamic Data Sources and Encryption: Manage dynamic data sources and encryption settings.
• What are Content Packs?: Introduction to personal and organizational content packs.
• Personal and Organizational Content Packs: Creating and using content packs.