Overview
Power BI Developer Program – 45 Day Career Transformation Course
Step into the world of data visualization and business intelligence with our 45-Day Power BI Developer Program — a comprehensive training designed to transform you into a job-ready Business Intelligence professional.
This program is carefully structured to bridge the gap between raw data and strategic decision-making. You will learn how to design powerful dashboards, build scalable data models, and generate actionable insights using Microsoft Power BI, one of the most widely used BI platforms in the industry.
Delivered through live instructor-led sessions, real-world case studies, and hands-on projects, the curriculum focuses on both foundational concepts and advanced Power BI development techniques. By the end of the program, you will have the practical knowledge and portfolio required to confidently apply for high-demand Business Intelligence roles in leading organizations.
To ensure complete career support, the program also includes:
• Pay After Placement model
• Free demo sessions before enrollment
• Dedicated resume building support
• Mock interviews with industry experts
• Hands-on project experience aligned with real business scenarios
Whether you are a fresh graduate beginning your career, a working professional looking to upskill, or someone planning to transition into data analytics, this program provides a structured pathway into the rapidly growing field of Business Intelligence and Data Analytics.
Our learners have received opportunities across leading multinational companies in India, with an average offered salary of ₹15 LPA, reflecting the strong industry demand for skilled Power BI professionals.
Course Highlights
45-Day Intensive Training Program
A structured and instructor-led learning experience designed to build strong Power BI and Business Intelligence skills through practical exercises, real-world datasets, and industry-based case studies.
Pay After Placement Model
Students can focus entirely on learning without worrying about upfront financial pressure. The majority of the course fee is payable only after securing a job opportunity.
Free Demo Sessions
Prospective learners can attend live demo sessions to evaluate the teaching approach, course structure, and instructor expertise before enrolling in the program.
Average Salary of ₹15 LPA
Graduates of the program have secured roles in leading organizations with competitive compensation packages, with the average salary reaching approximately ₹15 lakhs per annum.
Strong Placement Success Rate
Students from previous batches have successfully transitioned into roles such as Power BI Developer, Data Analyst, and Business Intelligence Analyst after completing the program.
Resume Development and Mock Interview Preparation
The program includes personalized resume building, LinkedIn and job portal profile optimization, and multiple mock interview sessions to prepare students for real hiring processes.
Extensive Recruiter and Alumni Network
Students gain access to a large professional network consisting of recruiters, hiring managers, and alumni working across various technology and consulting companies.
Opportunities with Leading Organizations
Learners from the program have received opportunities with globally recognized companies including Microsoft, Amazon, Deloitte, Infosys, EY, Capgemini, PwC, TCS, Oracle, HCL, SAP, HSBC, and many others.
Course Details
The Power BI Developer Program is designed to provide a complete understanding of the Business Intelligence workflow, enabling students to transform raw data into meaningful insights and interactive dashboards.
Throughout the 45-day training program, participants will work with real datasets and learn how to extract, transform, model, analyze, and visualize data using the Power BI ecosystem. The curriculum combines live instructor-led sessions, guided labs, assignments, and real-world projects to ensure strong practical expertise.
The course progresses step-by-step from foundational BI concepts to advanced analytics and enterprise deployment, preparing learners for real industry roles in data analytics and business intelligence.
Program Curriculum
1. Business Intelligence Foundations and Power BI Introduction
This module introduces learners to the world of business intelligence and how organizations use data analytics to support decision-making.
Key Topics
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Understanding Business Intelligence and modern data analytics
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Overview of the Power BI ecosystem
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Power BI Desktop, Power BI Service, and Power BI Mobile
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Navigating the Power BI interface
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Understanding datasets, reports, and dashboards
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Importing and working with your first dataset
Practical Exercise
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Import data from Excel and create a basic analytical report.
2. Data Loading and Data Transformation (Power Query)
In this stage, students learn how to collect and prepare data from different sources using Power Query.
Key Topics
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Connecting to multiple data sources
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Excel
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CSV files
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Databases
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Web data sources
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Working with the Power Query Editor
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Data cleaning techniques
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Handling missing values and errors
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Removing duplicates and correcting data types
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Splitting and merging columns
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Pivoting and unpivoting datasets
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Creating conditional columns and parameters
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Understanding query dependencies
Practical Work
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Transform raw datasets into structured analytical datasets.
3. Data Modeling in Power BI
Data modeling is a critical component of business intelligence solutions. This module focuses on designing optimized data models that support efficient reporting.
Key Topics
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Importance of data modeling in analytics
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Understanding relationships between tables
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Fact tables and dimension tables
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Star schema and Snowflake schema
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One-to-many and many-to-many relationships
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Cross filtering and relationship management
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Data model optimization techniques
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Best practices for building scalable BI models
Practical Work
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Build a relational model using multiple tables and datasets.
4. DAX Fundamentals (Data Analysis Expressions)
DAX allows analysts to create powerful business calculations directly inside Power BI.
Key Topics
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Introduction to DAX language
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Calculated columns vs measures
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DAX syntax and formula structure
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Aggregation functions such as SUM, COUNT, DISTINCTCOUNT, and AVERAGE
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Logical functions such as IF and SWITCH
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Filter functions including CALCULATE, FILTER, and ALL
Practical Work
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Create dynamic business metrics for dashboards.
5. Advanced DAX and Time Intelligence
This module explores advanced calculations used in enterprise dashboards and analytical reporting.
Key Topics
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Row context and filter context
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Advanced DAX formulas
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Time intelligence functions
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Year-to-Date (YTD), Quarter-to-Date (QTD), and Month-to-Date (MTD)
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SAMEPERIODLASTYEAR and PARALLELPERIOD
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Running totals and ranking functions
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Dynamic measures and KPI calculations
Mini Project
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Build a financial analysis dashboard using advanced DAX formulas.
6. Data Visualization and Dashboard Design
Students learn how to create visually compelling dashboards that communicate business insights effectively.
Key Topics
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Principles of effective data visualization
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Selecting appropriate visuals for business reporting
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Creating charts, tables, matrices, maps, and KPI indicators
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Implementing filters and slicers
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Drill-down and drill-through navigation
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Conditional formatting techniques
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Designing executive dashboards
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Storytelling with data
Practical Work
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Create a fully interactive sales performance dashboard.
7. Advanced Dashboard Features
This module focuses on enhancing dashboards with advanced interactive capabilities.
Key Topics
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Bookmarks and report navigation
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Page interactions and dashboard storytelling
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Dynamic dashboards
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Custom visuals from the Power BI marketplace
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Parameter-driven reports
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Dashboard performance optimization
Assignment
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Build an interactive business insights dashboard.
8. Power BI Service and Report Deployment
Students learn how organizations publish and share reports using the Power BI cloud platform.
Key Topics
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Publishing reports to Power BI Service
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Creating dashboards and workspaces
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Sharing reports with teams
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Data refresh scheduling
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Data gateway overview
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Collaboration and app deployment
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Row-Level Security implementation
Practical Work
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Publish and share dashboards with user access control.
9. Capstone Project
The final phase of the program focuses on applying all the concepts learned throughout the course.
Participants will:
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Import and transform raw datasets
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Design an optimized data model
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Build business metrics using DAX
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Create interactive dashboards
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Deploy reports through Power BI Service
Final Outcome
Students complete a full end-to-end Business Intelligence project that can be showcased during interviews and included in their professional portfolio.
Tools and Technologies Covered
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Power BI Desktop
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Power BI Service
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Power Query Editor
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DAX (Data Analysis Expressions)
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Excel Data Integration
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SQL fundamentals for data extraction
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Data Modeling techniques
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Dashboard design and reporting best practices
Who Should Enroll
This program is suitable for individuals who want to build a career in data analytics and business intelligence.
Ideal for:
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Aspiring Data Analysts and BI Developers
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Business Analysts and IT Professionals
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Fresh graduates looking to enter the analytics domain
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Professionals planning to transition into data-driven roles
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Anyone interested in building dashboards and working with data insights
Career Opportunities After Completion
Upon completing the program, learners will be prepared for roles such as:
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Power BI Developer
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Business Intelligence Analyst
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Data Analyst
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Reporting Analyst
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Data Visualization Specialist
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BI Consultant
These roles are in high demand across industries such as consulting, financial services, technology, telecommunications, and product-based companies.
Why Choose This Course
Pay After Placement Model
Our program is designed to remove financial barriers for learners. Students can focus on acquiring the right skills without the pressure of upfront fees, as the majority of the course payment is required only after securing a job.
Industry-Aligned Curriculum
The course structure is developed based on current industry standards and employer expectations in the Business Intelligence domain. The curriculum covers the complete Power BI ecosystem along with practical analytics concepts used in real-world projects.
Proven Placement Track Record
Career Cracker has successfully trained multiple batches of students who have transitioned into roles such as Power BI Developer, Data Analyst, and BI Analyst across leading organizations. The program has been refined through continuous feedback and industry experience.
Experienced Trainers and Industry Mentors
Training sessions are conducted by professionals with practical experience in data analytics, dashboard development, and enterprise Power BI implementations. Students gain insights not only into tools but also into how these technologies are used in real business environments.
Interactive Learning with Continuous Feedback
All sessions are conducted live, allowing students to ask questions, discuss concepts, and receive detailed feedback on assignments, dashboards, and projects. This ensures that learners develop strong practical skills throughout the program.
Extensive Recruiter and Alumni Network
Students benefit from a large network of recruiters and alumni working across major consulting, technology, and financial organizations. This ecosystem provides access to job referrals, hiring updates, and valuable career guidance.
Comprehensive Placement Assistance
Our dedicated placement support includes resume preparation, LinkedIn and job portal optimization, interview preparation sessions, and continuous job opportunity sharing. We remain engaged with students throughout the hiring process until they secure the right role.
Start Your Journey Today
Take the next step toward building a successful career in Business Intelligence and Data Analytics.
The Career Cracker Power BI Developer Program provides the technical skills, industry exposure, and career support needed to secure opportunities in leading organizations.
Attend a free demo session, interact with our trainers, and explore how this program can help you move toward a high-growth career in the analytics industry.










































