About This Course
This program teaches students to collect, clean, analyze and present data for business decisions. Learners practice Excel, SQL, Power BI and statistics, create dashboards and case studies, build a portfolio, receive mentor feedback, and prepare for analyst interviews confidently and effectively.
What You Will Learn
Curriculum Roadmap
Foundation
- • Excel Fundamentals
- • Advanced Formulas
- • Data Cleaning
- • Pivot Tables
- • Basic Statistics
- • Data Visualization
- • Business Metrics
- • Analytical Thinking
SQL
- • SQL Fundamentals
- • SELECT & Filtering
- • Joins
- • Grouping & Aggregation
- • Subqueries
- • CTEs
- • Window Functions
- • Database Concepts
Power BI
- • Power BI Fundamentals
- • Power Query
- • Data Modeling
- • DAX Basics
- • Interactive Dashboards
- • KPI Reporting
- • Data Visualization
- • Business Storytelling
Python Analytics
- • Python Fundamentals
- • Pandas
- • NumPy
- • Data Preprocessing
- • Exploratory Analysis
- • Matplotlib
- • Statistical Analysis
- • Data Automation
Projects
- • Sales Performance Dashboard — Excel
- • E-Commerce Sales Analysis — SQL
- • Retail Data Analysis — Python
- • Hospital Operations Intelligence — Power BI
- • Applied Project Brief
- • Portfolio Building
- • Mentor Review
Career Prep
- • Resume Building
- • LinkedIn Optimization
- • Portfolio Review
- • SQL Interview Prep
- • Analytics Case Questions
- • Dashboard Presentation
- • Mock Interviews
- • Placement Readiness
Real-World Projects You'll Build
Sales Performance Dashboard
Build a complete Power BI dashboard analyzing sales trends, regional performance, and product insights from a real dataset.
E-Commerce Analytics Report
Use SQL and Excel to extract, clean, and analyze e-commerce data to generate actionable business insights.
Python Data Analysis Project
Perform end-to-end analysis on a business dataset using Pandas — cleaning, exploration, and visualization.
Career Outcomes
Who Can Join This Course?
Current Batch Information
Ask admissions for current fees, offers and batch dates before enrolling.
Placement Support Included
Get Free Counselling for This Course
Our counsellor will explain the curriculum, fee, batch schedule, and career opportunities in detail.
Frequently Asked Questions
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Useful questions
How is Data Analytics different from Data Science?
Data Analytics emphasises reporting, dashboards and business decisions. Data Science covers a broader workflow that includes predictive modelling and machine learning.