Power BI From Basics to Interactive Dashboards by Nitya Patel
Duration:1 hours
Batch Type:Weekend
Languages:English, Hindi
Class Type:Online
Course Fee:
Course Content
Course Title
Power BI: From Basics to Interactive Dashboards
Course Level
Beginner to Advanced
Course Duration
20–25 Hours (Recorded / Live)
Prerequisites
Basic computer knowledge
Familiarity with Excel is helpful but not mandatory
No coding experience required
🧱 MODULE 1: INTRODUCTION TO BUSINESS INTELLIGENCE
What is Business Intelligence (BI)?
Why BI is important in today’s data-driven world
Introduction to Power BI
Power BI vs Excel vs other BI tools
Real-world use cases (Sales, Finance, HR, Education)
🧱 MODULE 2: POWER BI ECOSYSTEM & SETUP
Power BI Desktop overview
Power BI Service overview
Power BI Mobile apps
Power BI licensing (Free vs Pro)
Installing Power BI Desktop
Understanding Power BI interface:
Report View
Data View
Model View
🧱 MODULE 3: DATA IMPORT & CONNECTIONS
Understanding data sources
Importing data from:
Excel
CSV
Text files
Introduction to database connections
Load vs Transform data
Navigator window explained
🧱 MODULE 4: DATA CLEANING & TRANSFORMATION (POWER QUERY)
Introduction to Power Query Editor
Cleaning data:
Removing nulls
Removing duplicates
Changing data types
Filtering and sorting data
Splitting and merging columns
Rename and replace values
Append vs Merge queries
Creating conditional columns
Best practices for clean data
🧱 MODULE 5: DATA MODELING CONCEPTS
What is data modeling?
Fact tables vs Dimension tables
Creating relationships between tables
One-to-many and many-to-many relationships
Cardinality and cross-filter direction
Active vs inactive relationships
Optimizing the data model
🧱 MODULE 6: DATA VISUALIZATION FUNDAMENTALS
Understanding the Visualizations pane
Using Fields and Filters
Creating basic visuals:
Bar charts
Column charts
Line charts
Pie and donut charts
Table and Matrix visuals
Formatting visuals (colors, labels, titles)
Sorting and highlighting data
🧱 MODULE 7: ADVANCED VISUALS & DASHBOARD DESIGN
KPI cards and gauges
Maps and filled maps
Treemaps and funnel charts
Using slicers for interactivity
Page-level, report-level, and visual-level filters
Drill-down and drill-through
Tooltips and bookmarks
Dashboard layout and design best practices
🧱 MODULE 8: DAX FUNDAMENTALS
What is DAX?
Calculated columns vs Measures
Basic DAX functions:
SUM
AVERAGE
COUNT
DISTINCTCOUNT
Using IF and SWITCH functions
Introduction to CALCULATE
🧱 MODULE 9: INTERMEDIATE & ADVANCED DAX
Understanding Row Context and Filter Context
Using FILTER function
ALL and ALLEXCEPT functions
Variables (VAR) in DAX
Time intelligence concepts
Creating:
YTD
MTD
QTD
Performance tips for DAX
🧱 MODULE 10: INTERACTIVITY & USER EXPERIENCE
Using slicers effectively
Sync slicers across pages
Creating interactive navigation using buttons
Page navigation and reset filters
Enhancing report usability
🧱 MODULE 11: POWER BI SERVICE & SHARING
Publishing reports to Power BI Service
Understanding workspaces
Sharing dashboards and reports
Exporting reports
Introduction to scheduled refresh
Overview of data gateways
🧱 MODULE 12: REAL-WORLD PROJECTS
Project 1: Sales Dashboard
Revenue analysis
Product performance
Region-wise insights
Project 2: HR Analytics Dashboard
Employee attrition
Department analysis
Gender diversity insights
Project 3: Student / Education Dashboard
Attendance tracking
Performance analysis
Insight-based reporting
🧱 MODULE 13: CAREER & PRACTICAL GUIDANCE
Power BI roles and career paths
How to build a Power BI portfolio
Resume tips for Power BI beginners
Common interview questions
Freelancing overview and dashboard pricing basics
🎁 BONUS CONTENT
Practice datasets
Dashboard design checklist
Beginner-friendly DAX reference
Interview preparation questions
🎯 LEARNING OUTCOMES
By the end of this course, students will be able to:
Analyze and clean data using Power BI
Build professional dashboards
Write basic to intermediate DAX formulas
Create interactive and shareable reports
Apply Power BI skills to real-world problems
💰 COURSE VALUE JUSTIFICATION (₹1000)
Beginner → Advanced coverage
Hands-on projects
Industry-relevant skills
Portfolio-ready dashboards
Career guidance
Skills
Power Bi Dashboard, Data Analysis, Data Visualization, Data Cleaning, Power Bi, Nosql Data Modeling, SQL, Microsoft power bi
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