Build real-world projects, learn modern frameworks, and become a job-ready full stack web developer.
Learn Excel, SQL, and Power BI the way companies actually use them. Live projects, industry examples, and guided mentorship that prepares you for real workplace challenges.
This course is designed to make you fluent in the three most essential workplace tools Excel, SQL, and Power BI. From analyzing business data and automating reports to visualizing insights that drive decisions, you’ll learn how professionals actually apply these tools inside real companies.
Through a step-by-step learning path, you’ll start with data cleaning and formulas in Excel, move on to mastering database management and queries with SQL, and finally build powerful dashboards in Power BI.
Every concept is taught using company-based examples along with weekly assignments, evaluations, and a guided capstone project to build a portfolio for employers.
Whether you’re a student, job seeker, or a working professional, this course will equip you with skills in demand across banking, marketing, operations, and tech.
Master Excel, SQL & Power BI — from basics to business projects
Each module is designed to move you from fundamentals to professional-level proficiency
through live practice, case studies, and real-world datasets.
Duration: 8 Weeks | Mode: Live + Assignments
Deliverable: Create a complete Excel Business Dashboard using real company data (sales, cost & performance).
See full CurriculumDuration: 8 Weeks | Mode: Live + Practice Labs
Deliverable: Develop a Sales Database Query System — fetch, clean, and analyze company transaction data.
See full CurriculumDuration: 8 Weeks | Mode: Live + Guided Project
Deliverable: Create an interactive “Company Performance Dashboard” connecting Excel & SQL sources for end-to-end reporting.
See full CurriculumCombine all three tools to analyze a real dataset, automate reporting, and present insights in a live mock business review.
Outcome: A professional portfolio of 3 projects, a graded certificate, and practical expertise that employers trust.
Module : Introduction to Excel
Chapter 1: Why Excel is vital for everyone?
Chapter 2: Excel UI overview: Workbook vs Worksheet
Chapter 3: Ribbon walkthrough (Home, Insert, Data, Formulas)
Chapter 4: Cell types: General, Number, Currency, Date.
Chapter 5: Formatting techniques: alignment, borders, conditional fills, number formatting.
Chapter 6: Navigation: Freeze Panes, Split View, Hide/Unhide rows/columns/sheets
Chapter 7: Shortcuts everone must know:
Module : Explore the Excel Ribbon
Chapter 8: Understand the legacy tools available in the ribbon
Chapter 9: Sort
Chapter 10: Filter/Advanced Filters
Chapter 11: Remove duplicates
Chapter 12: Text to columns
Chapter 13: Data Validation
Module : Formulas & Functions in Excel
Chapter 13: Introduction: Why formulas matter?
Chapter 14: How to do arithmetic calculations, including constants in calculations
Chapter 15: Referencing explained: Relative, Absolute ($A$1), Mixed.
Chapter 16: SUM: row totals, conditional ranges.
Chapter 17: AVERAGE: handling blanks vs zeros.
Chapter 18: MIN & MAX for data analysis.
Chapter 19: COUNT vs COUNTA difference.
Chapter 20: Common mistakes & error handling
Module: Logical Functions
Chapter 21: IF function syntax.
Chapter 22: Simple conditions
Chapter 23: Compound conditions with AND & OR.
Chapter 24: Nesting functions (SUM inside IF).
Chapter 25: Introduce IFS for multi-level outcomes.
Chapter 26: IFERROR to handle invalid data.
Module: Meet the New Excel Engine
Chapter 27: Introduce the new Excel engine
Chapter 28: Understand the power of this new tool with examples
Chapter 29: Why lookups are essential
Chapter 30: Explain lookup with a simple example
Chapter 31: Quick review of VLOOKUP and why it is not a great function
Chapter 32: The modern replacement XLOOKUP explained
Module: Text Functions
Chapter 33: LEFT, RIGHT, MID, LEN
Chapter 34: TRIM & CLEAN
Chapter 35: Merge texts, TEXTJOIN & TEXTSPLIT
Module: Conditional Formatting & Date/Time Functions
Chapter 36–40 (CF basics, duplicates, averages, icon sets, TODAY, NOW, NETWORKDAYS, DATEDIF, EOMONTH)
Module: Charts
Chapter 41–47 (All chart types, combo charts, trendlines, forecasting, formatting)
Module: Pivot Tables Basics
Chapter 48–51
Module: Pivot Charts & Advanced Pivot Tables
Chapter 52–55
Module: Power Query Basics
Chapter 56–62
Module: Power Query Advanced Features
Chapter 63–66
Module: Power Pivot
Chapter 67–69
Module: Dashboard Design Principles
Chapter 70–75
Module: Google Sheets Basics & Collaboration
Chapter 76–80
Module: Google Sheets Advanced
Chapter 81–84
Module: Dashboard Integration (Excel + Sheets)
Chapter 85–86
Module: Excel Project
17 Mini Assignment
1 Excel Assignment (Dataset of your Industry Choice)
Module : Introduction to SQL
Chapter 1: What is a RDBMS
Chapter 2: Types of SQL Databases
Chapter 3: Installation of SQL
Module : Database creation, updation & Deletion
Chapter 4: Create Database, drop database
Chapter 5: Create table, drop table
Chapter 6: Select, Alter
Chapter 7: Modify in SQL
Chapter 8: Insert statement
Chapter 9: Constraint in SQL, not null, default
Module : Primary Key + Foreign Key
Chapter 10: Unique Key, Primary Key
Chapter 11: Composite Primary Key
Chapter 12: Foreign Key
Module: Filtering and Updating Data
Chapter 13: Creating Database with SQL commands, Select distinct
Chapter 14: where, AND, OR
Chapter 15: In, between, limit
Chapter 16: Null, Order by, Update, Delete
Module: Aggregate Function
Chapter 17: Min, Max, Avg, Sum, Count
Chapter 18: Group by
Module: Pattern Matching
Chapter 19: Having
Chapter 20: Wildcard, Like
Chapter 21: Regex
Module: Subqueries
Chapter 22: Case statement
Chapter 23: Nested Queries
Module: Joins
Chapter 24: Joins and types of joins SQL
Module: Advance String, Date Functions & Views
Chapter 25: CONCAT(), LENGTH(), REPLACE()
Chapter 26: DATEDIFF(), CURRENT_DATE, DATEADD()
Chapter 27: Views
Module: Stored Procedure and Functions
Chapter 28: Stored Procedure
Chapter 29: WITH - SELECT, INSERT, UPDATE, DELETE
Chapter 30: Functions
Module: Index & CSV Loading
Chapter 31: Load CSV file project
Chapter 32: Index in SQL
Chapter 33: Window Function
Chapter 34: Rank, Dense Rank
Projects:
17 Mini Assignments
1 Excel Assignment (Dataset of your Industry Choice)
11 Mini Assignments
1 SQL Assignment (Same Dataset used in Excel Project)
Module : Power BI Introduction
Chapter 1: Introduction to Power BI
Chapter 2: Download & Installation
Chapter 3: How to use Power BI Desktop Application
Module : Introduction to Power Query Editor
Chapter 4: Introduction to Power Query Editor
Chapter 5: Remove Rows / Columns, Sorting
Chapter 6: Split Column
Chapter 7: Group By, Replace Value, First Row as Header
Module : Date and Text Operation
Chapter 8: Data Type Conversion
Chapter 9: Number, Date & Time Operations
Chapter 10: Text Column Operations
Chapter 11: Any Column Operation
Module : Operation Multi Table
Chapter 12: Transpose & Reverse Rows
Chapter 13: Conditional, Index, Duplicate Column
Chapter 14: Combining Data
Chapter 15: Close & Apply
Module : Different Types of Analysis
Chapter 16: Creating Charts
Chapter 17: Categorical vs Numerical Data
Chapter 18: Univariate Analysis
Chapter 19: Bivariate & Multivariate Analysis
Chapter 20: Charts (Stack, Bar, Cluster etc.)
Module : Chart Types
Chapter 21: Saving File
Chapter 22: Formatting
Chapter 23: 100% Stacked Charts
Chapter 24: Trend Analysis (Line, Area)
Module : Univariate & Bivariate Analysis
Chapter 25: Pie, Donut, Funnel
Chapter 26: Scatterplot (Univariate)
Chapter 27: Scatterplot (Bivariate)
Module : Multivariate Analysis
Chapter 28: Slicer
Chapter 29: Map, Filled Map, Treemap
Module : Tables
Chapter 30: Cards (Number/Text)
Chapter 31: Table
Module : Matrix
Chapter 32: Card with Date
Chapter 33: Multi Row Card
Chapter 34: Matrix
Module : Filters & Q&A
Chapter 35: Filter Section
Chapter 36: More Visuals
Chapter 37: Q&A Feature
Module : Data Modeling
Chapter 38: Data Modelling Concepts
Chapter 39: Practical Implementation
Module : DAX Queries
Chapter 40: DAX, Calculated Columns, Measures
Chapter 41: Aggregation Functions
Module : Text & Logical Functions
Chapter 42: Calculate & Filter Context
Chapter 43: Text Functions
Chapter 44: Logical Functions (IF, AND, OR, NOT)
Chapter 45: Switch Function
Chapter 46: Gauge Chart
Module : Dashboard
Chapter 47: Dashboard Creation
Module : Security & Sharing
Chapter 48: Row Level Security
Chapter 49: Sharing Reports
Chapter 50: Kaggle Dataset
Chapter 51: Sharing Insights on LinkedIn
Module : Power BI Project
16 Mini Assignments
1 Power BI Assignment (Same Dataset as Excel + SQL)
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