Power BI Certification Course

Self Paced

Fee: ₹5,999

Sanjay Kumar Singh | Corporate Trainer - Data Analytics

Step into the shoes of a Business Intelligence Analyst , for a simulated manufacturing company. In this hands-on Power BI course, you’ll work with real-world datasets and learn how to turn raw data into impactful reports and dashboards that drive business decisions.

You’ll learn how to:

• Track Key Performance Indicators (KPIs)
• Compare regional performance
• Analyse product-level trends
• Identify high-value customers

And don’t worry — we’ll guide you every step of the way. With crystal-clear explanations, industry insights, and expert tips, you’ll build your skills from the ground up — no prior experience needed.

This course mirrors the actual workflow used by data professionals, covering:

• Data Preparation
• Data Modelling
• Exploratory Data Analysis (EDA)
• Data Visualization
• Interactive Dashboard Design

Whether you’re a student, working professional, or career switcher, this course is your gateway to mastering Power BI and unlocking career opportunities in the fast-growing field of data analytics.

Objectives

At the end of this course, learners will be able to:

Create professional-grade Business Intelligence reports from scratch, just like industry experts.

Convert raw data into insightful, interactive dashboards using real-world scenarios and hands-on practice.

Master the same tools and techniques used by top data analysts and Power BI professionals.

Build a job-ready portfolio with two comprehensive capstone projects—guided step-by-step.

Dive into AI-powered analytics and advanced visualization methods to stay ahead in the data-driven world.

Train under a top-rated instructor with proven expertise as a professional Power BI developer.

What Will You Learn

Learners will learn to clean, model, and analyze data, build interactive dashboards, track KPIs, uncover business insights, and apply real-world Power BI techniques used by data professionals.

Skills you will gain

Data Cleaning

Real-World Power BI reporting

Business analysis

Dashboard design

Modeling

Visualization

DAX

Prepare for your career path

A Power BI developer is hired to design and develop BI reports and for providing insights to improve decision-making. The role of this developer requires him/her to have wide knowledge over business intelligence, data integration, data warehousing, modeling, database, and technical aspects of BI tools.

Key Skills to Learn

Power BI basics (reports, visuals, filters) Data cleaning & transformation (Power Query) Basic DAX formulas Excel & SQL fundamentals KPI tracking and simple dashboards

data cleaning, modelling, dashboard design,

At the mid-level, this training enables professionals to move beyond reporting into business analysis and insight generation. In these roles, you will: Design end-to-end Power BI solutions Build optimized data models using multiple tables and relationships Perform Exploratory Data Analysis (EDA) to identify patterns and risks Analyze regional, product-wise, and customer-wise performance Deliver interactive dashboards for leadership and business heads Translate data insights into actionable business recommendations Suitable for working professionals upgrading skills Common in corporates, consulting firms, analytics teams, and ERP environments

Key Skills to Learn

Advanced Power BI dashboards & reports Data modeling using multiple tables & relationships Advanced DAX formulas & calculations Exploratory Data Analysis (EDA) Interactive dashboard design SQL querying & database connectivity Business performance analysis Data visualization best practices Dashboard optimization & performance tuning Analytical storytelling & insights generation

visualization, DAX,

For experienced professionals, this course strengthens the analytical thinking, dashboard strategy, and storytelling skills needed for leadership and consulting roles. In these roles, you will: Define KPI frameworks aligned with business goals Design executive-level dashboards and analytics solutions Guide teams on data modeling and visualization best practices Partner with leadership to drive data-driven decisions Improve operational efficiency using analytics insights Act as a bridge between business stakeholders and technical teams Ideal for team leads, consultants, managers, and ERP/BI professionals High demand in manufacturing, supply chain, finance, and enterprise analytics

Key Skills to Learn

Executive-level dashboard development Advanced KPI framework design Complex data modeling & analytics solutions Business intelligence strategy Data storytelling for leadership Predictive & trend analysis Dashboard governance & standardization Business decision support using analytics Stakeholder management & consulting Team guidance on BI best practices

business analysis, real-world Power BI reporting.

Jobs in India

30000

Average Salary

₹3.5 L – ₹18 L

Job Growth

35%

Companies Looking For Power BI Manager

and many more

Curriculum

Module-1 Getting Started and Intro to PBI Desktop
- Week Intro Session
- Session 1.1 - Why Power BI? Understanding the BI Landscape
- Session 1.2 - Installing & Setting Up Power BI Desktop
- Session 1.3-Part-1 - Your First Report: Import, Visualize & Save (Part-1)
- Session 1.4-Part-2 - Your First Report: Import, Visualize & Save (Part-2)

Module-2 Power BI Desktop Interface Overview
- Session 2.1 - Exploring the Main Interface
- Session 2.2 - Panels and Fields in Detail
- Session 2.3 - User Settings and Productivity Tools

Module-3 Getting started with the Project
- Session 3.1 - Defining the Business Use Case
- Session 3.2- Understanding the Project Data
- Session 3.3- Planning the Power BI Workflow
- Week Summary Session

Module-4 Connecting to Excel and CSV Files
- Week Intro Session
- Session 4.1 - Importing Excel Files into Power BI
- Session 4.2 - Loading and Transforming CSV Files
- Session 4.3 - Comparing Excel vs CSV in Power BI

Module-5 Connecting PDF and Data from Internet
- Session 5.1 - Importing Data from PDF Files
- Session 5.2 - Web-based Data Connection (HTML Tables)
- Session 5.3 - Connecting to Public APIs

Module-6 Power Query Interface in Details
- Session 6.1 - Navigating Power Query Editor
- Session 6.2 - Understanding Applied Steps and M Code
- Session 6.3 - Managing Queries and Settings
- Week Summary Session

Module-7 Data Cleaning Basics (Remove, Rename, Change Types)
- Week Intro Session
- Session 7.1 - Removing Unwanted Rows and Columns
- Session 7.2 - Renaming Columns for Clarity
- Session 7.3 - Changing Data Types

Module-8 Text, Number & Date Transformations
- Session 8.1 - Text Column Transformations
- Session 8.2 - Working with Numbers
- Session 8.3 - Date & Time Adjustments

Module-9 Unpivot, Merge & Append Queries
- Session 9.1 - Unpivoting Data for Normalization
- Session 9.2 - Merging Queries (Join Equivalent)
- Session 9.3 - Appending Queries (Stacking Data)
- Week Summary Session

Module-10 Creating a Data Table from Scratch
- Week Intro Session
- Session 10.1 - Manual Table Entry Using “Enter Data”
- Session 10.2 - Using DAX to Create Calculated Tables
- Session 10.3 - When and Why to Use Custom Tables

Module-11 Creating a Rolling calendar
- Session 11.1 - Why We Need a Calendar Table
- Session 11.2 - Creating a Calendar Table with DAX
- Session 11.3 - Enhancing the Calendar Table

Module-12 Append multiple files from a folder
- Session 12.1 - Folder Connection Basics
- Session 12.2 - Combining Files Automatically
- Session 12.3 - Dynamic File Management & Error Handling
- Week Summary Session

Module-13 Conditional Columns
- Week Intro Session
- Session 13.1 - Understanding Conditional Columns
- Session 13.2 - Creating Conditional Columns in Power Query
- Session 13.3 - Advanced Conditional Scenarios

Module-14 Column from Examples
- Session 14.1 - What is Column from Examples?
- Session 14.2 - Using Column from Examples (From Selection)
- Session 14.3 - Practical Examples and Best Practices

Module-15 Index column and Grouping
- Session 15.1 - Creating and Using Index Columns
- Session 15.2 - Grouping Data in Power Query
- Session 15.3 - Advanced Grouping Use Cases
- Week Summary Session

Module-16 Data Normalization and fact and Dimension Tables
- Week Intro Session
- Session 16.1 - Understanding Data Normalization
- Session 16.2 - Fact vs Dimension Tables
- Session 16.3 - Designing a Star Schema

Module-17 Primary and Foreign keys and Creating Relationships in Power
- Session 17.1 - Understanding Primary & Foreign Keys
- Session 17.2 - Creating Relationships Between Tables
- Session 17.3 - Troubleshooting Relationship Issues

Module-18 Relationship Vs Merged Tables
- Session 18.1 - When to Use Relationships
- Session 18.2 - When to Merge Tables Instead
- Session 18.3 - Best Practices for Choosing Between Merge vs Relationship
- Week Summary Session

Instructor

Sanjay Kumar Singh

Corporate Trainer -Data Analytics

Power BI and Advanced Excel

• 15+ years of corporate experience in project managemnt, data analytics and 5+ years in technical training • Expert in Microsoft Power BI, Excel, and data analytics for business decision-making • Trained over 10,000 professionals and students through hands-on, real-world projects • MBA graduate and certified analytics instructor with strong academic and industry background • Specializes in teaching data modeling, DAX, dashboard creation, and storytelling with data • Passionate about preparing MBA students for analytics-driven roles in today’s data-first economy • Known for interactive, simplified teaching style tailored to diverse learning levels

4.8 450 10000 plus Learners

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