Power BI Training in Hyderabad focuses on practical analytics and reporting using Microsoft Power BI tools. Learners work with multiple data sources, build clean data models and design dashboards. The training explains DAX calculations, publishing workflows and report refresh management. Hands-on sessions align with real business intelligence use cases. This training suits professionals developing reporting capability for analytics-driven roles.
Adding Slicers, Filters and Drill-through Features
Map Visualizations and Geo-Analytics
Designing Interactive Dashboards
Visualizations: Funnel, Waterfall, Scatter Plots and More
Quick Insights and Analytical Techniques
DAX (Data Analysis Expressions) for Model Performance
Creating Dashboards with R and Python Visuals
Storytelling Using Data
Best Practices for Designing Reports and Dashboards
Real-time Case Studies and Examples
Preparation for PL-300 Certification
Benefits:
Learn to analyze and visualize complex datasets
Gain practical knowledge through real-world examples
Acquire skills to become a Power BI Developer
Upskill for career growth in Data Science and Analytics
Key Deliverables:
Fundamental Concepts of Power BI Desktop
Functional Knowledge of Power BI Dashboards
Handling Data Anomalies and Performance Issues
Designing Efficient Data Models
Advanced Dashboard Formatting and Interactivity
Industry-based Best Practices for Visualization
Operational Skills for Interactive Reports
Who Should Take This Course:
IT Professionals aiming for Data Science careers
Data Analysts seeking advanced visualization skills
Corporate managers looking to upskill
Data Science and Analytics enthusiasts
Key Features
Power BI Course Syllabus
1.
Introduction to Microsoft Power BI, the key features of Power BI workflow, Desktop application, BI service, and file data sources.
2.
Sourcing data from web (OData, Azure), building dashboard, data visualization, publishing to cloud, DAX data computation, row context, filter context.
3.
Analytics Pane, creating columns and measures, data drill down and drill up, creating tables, binned tables, data modeling and relationships
4.
The Power BI components like Power View, Map, Query, Pivot, Power Q & A, understanding advanced visualization.
1.
Learning about Power Query for self-service ETL functionalities, introduction to data mashup, working with Excel data, learning about Power BI Personal Gateway
2.
Extracting data from files, folders and databases, working with Azure SQL database and database source
3.
Connecting to Analysis Services, SaaS functionalities of Power BI.
1.
Installing Power BI, the various requirements and configuration settings
2.
The Power Query, introduction to Query Editor, data transformation – column, row, text, data type, adding & filling columns and number column, column formatting, transpose table, appending, splitting, formatting data
3.
Pivot and UnPivot, Merge Join, relational operators, date, time calculations, working with M functions, lists, records, tables, data types, and generators.
4.
Filters & Slicers, Index and Conditional Columns, Summary Tables, writing custom functions and error handling, M advanced data transformations.
1.
Introduction to Power Pivot, learning about the xVelocity engine, advantages of Power Pivot, various versions and relationships, strongly typed datasets
2.
Data Analysis Expressions, Measures, Calculated Members, Row, Filter & Evaluation Context, Context Interactions, Context over Relations.
3.
Schema Relations, learning about Table, Information, Logical, Text, Iterator, Table, and Time Intelligence Functions, Cumulative Charts, Calculated Tables, ranking and rank over groups.
4.
Power Pivot advanced functionalities, date and time functions, DAX advanced features, embedding Power Pivot in Power BI Desktop.
1.
Deep dive into Power BI data visualization, understanding Power View and Power Map.
2.
Power BI Desktop visualization, formatting and customizing visuals, visualization interaction.
3.
SandDance visualization, deploying Power View on SharePoint and Excel, top down and bottom up analytics, comparing volume and value-based analytics
4.
Working with Power View to create Reports, Charts, Scorecards, and other visually rich formats, categorizing, filtering and sorting data using Power View
5.
Hierarchies, mastering the best practices, Custom Visualization, Authenticate a Power BI web application, Embedding dashboards in applications.
1.
Introduction to Power Q & A, intuitive tool to answer tough queries using natural language.
2.
Getting answers in the form of charts, graphs and data discovery methodologies, ad hoc analytics building
3.
Power Q & A best practices, integrating with SaaS applications
1.
Getting to understand the Power BI Desktop, aggregating data from multiple data sources
2.
How Power Query works in Power BI Desktop environment, learning about data modeling and data relationships, deploying data gateways, scheduling data refresh.
3.
Managing groups and row level security, datasets, reports and dashboards, working with calculated measures.
4.
Power Pivot on Power BI Desktop ecosystem, mastering data visualization.
5.
Power View on Power BI Desktop, creating real world solutions using Power BI
igmGuru’s Power BI course is aligned to ace the Microsoft Certified: Data Analyst Associate certification exam. The exam is conducted online at test centres or proctored by Pearson VUE from the user's home or office location worldwide.
Exam details
Exam fee: $165 USD
Passing score: 70%
Time Duration: 120 minutes
Number of Questions: 40-60
Format: MCQs, Multi-response questions and hands-on
