Become a Job-Ready Power BI Expert
With hands-on dashboards, real business scenarios & reporting skills – no coding required!
About Course
This all-in-one Power BI course takes you from complete beginner to advanced level with a structured and hands-on learning path. You’ll gain mastery in tools like Power BI Desktop, Power BI Service, Excel, SQL for BI, Power Query, DAX, and even basic automation using Power Automate. The course is designed around real industry projects and datasets to ensure practical understanding. In the final weeks, you’ll work on portfolio-ready projects, prepare for interviews with mock sessions, and even get help with CV creation and job readiness. With a focus on both business reporting and professional BI practices, this course gives you the skills needed to confidently apply for Power BI roles or improve your analytics performance in any business.
This course is ideal for students, working professionals, business analysts, data enthusiasts, fresh graduates, and individuals looking to switch careers into the data and analytics field. Whether you have no background in data or already have some basic understanding, this course supports all levels. No prior experience with Power BI or data tools is necessary — just a willingness to learn and grow in one of the most in-demand skillsets in the digital job market.
OUR SUCCESS STORIES
Rukhsar Nadeem
Data Engineer
Arham Matloob
BI Developer
Inam ul Haq
Big Data Consultant
Saqib Lateef
BI Developer
Jawad Riaz
BI Developer
Saad Farooq
Laravel Developer
Schedule
Pricing
Meet the Trainer
Tools & Technologies
Course Outline
Understanding Business Intelligence & Data Analytics
Introduction to Power BI ecosystem
Installing Power BI Desktop and navigating the interface
Connecting to basic data sources (Excel, CSV, Web)
Basic data transformation using Power Query Editor
Creating first dashboard with simple visuals
Advanced DAX: CALCULATE, FILTER, ALL, VALUES
Variables and performance optimization
Using bookmarks, slicers, and drill-throughs
Creating interactive and dynamic dashboards
KPI indicators and card visuals
Themes, formatting, and storytelling best practices
Power BI Service overview (PowerBI.com)
Publishing and sharing reports
Workspaces and apps
Power BI Data Gateway (personal vs enterprise)
Refresh schedules and managing datasets
Row-level security (RLS)
Project 1: Sales & Revenue Dashboard
Project 2: HR Analytics Dashboard
Project 3: Financial Reporting and Budgeting
Project 4: Marketing Campaign Analytics
Project 5: Custom project (based on student interest)
GitHub integration and version control
Star Schema vs Snowflake Schema
Relationships and cardinality in Power BI
Introduction to DAX (Data Analysis Expressions)
Calculated columns vs measures
Basic DAX functions: SUM, AVERAGE, COUNT, etc.
Time intelligence basics (YTD, MTD, Previous Period)
Power Query M Language basics
Handling multiple data sources and file formats
Appending, merging, pivoting, unpivoting
Dealing with errors and nulls
Parameters and custom functions
Folder queries and automation techniques
Power BI Premium overview and benefits
Incremental refresh setup and configuration
Composite models and DirectQuery vs Import
Paginated Reports
XMLA endpoint and connecting with Excel
Performance tuning & best practices
Building a strong Data Analytics resume
LinkedIn optimization for analysts
Creating a Power BI portfolio
Mock interviews with real-world questions
Power BI certifications and learning path guidance
Interview prep for Business Analyst, Data Analyst & BI roles
Freelance and job platform guidance (without over-focus)