Learn Data Analysis from Scratch, Gain Practical Skills, and Become Job-Ready.
From Spreadsheets to Insights — Become a Skilled Data Analyst
Why Choose This Data Analysis Program?
Build your foundation in data, tools, and storytelling to become a confident, job-ready Data Analyst.
Zero to Pro Journey
Designed for absolute beginners — no coding or technical background required.
Real Business Data
Work with actual datasets from industries like finance, retail, HR, and marketing.
Career-Ready Skills
Master Excel, SQL, Python, Power BI, and data storytelling for real-world impact.
Live Mentor Sessions
Join weekly Q&A and feedback sessions led by experienced industry analysts.
Portfolio Worthy Projects
Build dashboards, scripts, and reports that demonstrate your skills to employers.
Who Can Join This Course?
Anyone who wants to make thier carrer in data analysis.
Students & Graduates
Perfect for final-year students and fresh graduates looking to build a future in Data Science.
Working Professionals
Upgrade your career and transition into Data Science roles with hands-on tools and industry projects.
Freelancers & Analysts
Turn your domain knowledge into actionable insights and expand your data career opportunities.
Career Switchers
From finance, sales, or any non-tech background? This course gives you a clear roadmap to enter Data Science.
6-Month Data Analysis Curriculum
Build industry-ready skills through a structured weekly path
Month 1
Excel & Data Foundations
- Week 1: Introduction to Data Analysis, Types of Data, Roles, and Tools
- Week 2: Excel Basics – Formulas, Formatting, Shortcuts
- Week 3: Advanced Excel – VLOOKUP, INDEX/MATCH, Pivot Tables
- Week 4: Dashboard Building in Excel + Mini Project
Month 2
SQL for Data Analysts
- Week 5: SQL Basics – SELECT, WHERE, ORDER BY, LIMIT
- Week 6: Joins – INNER, LEFT, RIGHT, FULL OUTER
- Week 7: GROUP BY, Aggregate Functions, Subqueries
- Week 8: SQL Case Study – Marketing Campaign Analysis
Month 3
Python for Data Analysis
- Week 9: Python Basics – Variables, Loops, Lists, Dictionaries
- Week 10: Data Manipulation with Pandas
- Week 11: Data Visualization with Matplotlib & Seaborn
- Week 12: Python Project – Sales Performance Analysis
Month 4
Data Cleaning & EDA
- Week 13: Data Quality Issues & Cleaning in Excel and Python
- Week 14: Exploratory Data Analysis Techniques
- Week 15: Feature Engineering & Outlier Detection
- Week 16: Mini Project – EDA on HR Analytics Dataset
Month 5
Business Intelligence with Power BI
- Week 17: Introduction to Power BI – UI, Reports, Data Sources
- Week 18: Building Interactive Dashboards
- Week 19: DAX Basics & Time Intelligence
- Week 20: Power BI Capstone – Executive Dashboard
Month 6
Reporting, Insights & Career Readiness
- Week 21: Data Storytelling – Crafting Presentations
- Week 22: Creating Professional Reports for Stakeholders
- Week 23: Resume, LinkedIn & Portfolio Optimization
- Week 24: Final Capstone Presentation to Mentors + Feedback
Tools & Technologies Covered
Master the essential tools every data analyst must know — from spreadsheets to storytelling
Microsoft Excel
Google Sheets
MySQL
PostgreSQL
Python
Pandas
NumPy
Matplotlib
Seaborn
Power BI
Tableau (Optional)
Git
GitHub
Jupyter Notebook
Google Colab
Canva
Real Projects You’ll Build
Hands-on projects that strengthen your skills and showcase your job-ready experience.
What Our Students Say
Master Excel to Dashboards. Become Job-Ready.
Hands-on Training to Launch Your Career in Data Analysis.