Data Analytics & Visualization
Industry-aligned training focused on analyzing real-world data and building meaningful dashboards using practical tools, projects, and mentor-led execution.
✔ Real Data Projects
✔ Weekly Evaluations
✔ Career Guidance
Who Should Join This Program?
Designed for learners serious about building a real tech career
✔ College students & fresh graduates
✔ Non-tech learners entering data roles
✔ Career switchers moving into analytics
✔ Professionals upgrading data skills
✔ Business & operations professionals
Career Paths After Completing?
Roles our learners prepare for through hands-on projects
✔ Data Analyst
✔ Business Analyst
✔ Junior Data Analyst
✔ Reporting & MIS Analyst
✔ Analytics Associate
Program Duration & Fees
1 Month
(Intro)
Starting from 2,999
Includes:
Data Fundamentals • Excel (Basics) • Data Cleaning (Intro) • Descriptive Statistics • Charts & Visuals • SQL (Basics) • Business Metrics (Intro) • Reporting Fundamentals
3 Month
(Core)
Starting from 7,999
Includes:
Data Fundamentals • Excel (Basics) • Data Cleaning (Intro) • Descriptive Statistics • Charts & Visuals • SQL (Basics) • Business Metrics (Intro) • Reporting Fundamentals
6 Month
(Advanced)
Starting from 15,999
Includes:
Advanced Excel • SQL (Intermediate) • Data Cleaning & Transformation • Python (Basics for Analytics) • Pandas & NumPy • Data Visualization with Power BI / Tableau • KPI Dashboards • Exploratory Data Analysis (EDA) • Business Case Studies • Reporting Automation (Intro)
9 - 12 Month
(Professional)
Starting from 25,999
Includes:
Advanced SQL • Python for Analytics (Advanced) • Pandas, NumPy • Data Visualization (Advanced Power BI / Tableau) • Advanced Dashboards • Statistical Analysis • A/B Testing (Intro) • Time-Series Analysis (Basics) • Data Modeling (Intro) • Big Data Concepts (Awareness) • Data Storytelling • Domain Analytics (Sales, Marketing, Finance) • AI for Analytics (Forecasting, Insights – Intro) • Automation & Scheduling (Intro) • Data Ethics & Governance • Portfolio & Interview Preparation
Ready to Start a Career in Data Analytics?
Learn data analytics by working with real datasets — not just theory and charts
No obligation. Just a friendly conversation about your learning and career goals