Data Analyst Cohort 2026

Data Analyst

Turn business data into dashboards, insights, and decisions using SQL, Excel, and real industry datasets.

SSQL
EEXCEL
DDASHBOARDS
IINSIGHTS

TOOLS YOU'LL MASTER

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Career Evolution

You don’t just study technology.You learn how to think like an engineer.

Architecture decisions. Scalability thinking. Debugging discipline. Deployment understanding. This program builds the mindset companies actually hire for — not just code familiarity.

Data Analytics Roadmap

Become a Production-Ready Data Analyst

01

Foundations of Data Analytics

What is Data Analytics
Types of Analytics (Descriptive, Diagnostic, Predictive)
Data-Driven Decision Making
Understanding Business Metrics
Data Lifecycle Overview
Analytical Thinking Framework
02

Excel for Data Analysis

Excel Interface & Data Handling
Formulas & Functions
Pivot Tables & Pivot Charts
Data Cleaning in Excel
Conditional Formatting
Business Reporting with Excel
03

SQL for Analytics

Relational Database Concepts
SELECT Queries & Filtering
GROUP BY & Aggregations
JOIN Operations
Subqueries & CTEs
Indexing & Query Optimization
SQL for Business Metrics
04

Python for Data Analysis

NumPy Basics
Pandas DataFrames
Data Cleaning Techniques
Handling Missing Values
Grouping & Aggregation
Data Transformation
05

Data Visualization Systems

Matplotlib Fundamentals
Seaborn Statistical Plots
Plotly Dashboards
Storytelling with Data
Visualization Best Practices
Insight Communication
06

Business Intelligence Tools

Power BI Interface
Data Modeling in Power BI
DAX Basics
Interactive Dashboards
KPI Reporting
Dashboard Design Principles
07

Statistics for Analytics

Descriptive Statistics
Probability Basics
Distributions
Correlation vs Causation
Hypothesis Testing
A/B Testing Basics
08

Real-World Data Projects

Sales Analysis Dashboard
Customer Behavior Analysis
Financial Reporting System
Marketing Analytics Project
End-to-End Data Report
09

Reporting & Communication

Presenting Insights to Stakeholders
Data Storytelling
Building Executive Reports
Visualization for Business Users
Documentation Standards
10

Career & Portfolio Development

Building Analytics Portfolio
Case Study Presentation
Interview Preparation
Resume for Data Roles
LinkedIn Optimization

Career Transformation Framework

How Our Programs Shape You Into a Production-Ready Engineer

01

Foundational Understanding

You learn how digital systems are structured, how interfaces behave, and how technology layers connect. You move from surface knowledge to core principles.

02

Programming & Logical Thinking

You develop structured problem-solving ability. Logic, debugging, data flow, and algorithmic thinking become second nature.

03

System Building

You connect components into complete working systems — interfaces, APIs, databases, and user flows. You build applications, not isolated features.

04

Engineering Mindset

You understand scalability, performance, architecture, and clean code practices used in real production environments.

05

Production Deployment

You deploy real applications, manage environments, and understand how systems run in live production infrastructure.

Course Strategy Framework

01

In-Depth Technical Learning

Every program is designed around system-level understanding — architecture, problem solving, and production workflows instead of surface-level tutorials.

Learning Strategy

Multi-layer learning through structured modules, guided builds, real-world projects, and engineering-focused mentorship.

Pros

  • Strong Engineering Foundation
  • High Industry Alignment
  • Deep Technical Authority
  • Career-Ready Skillset

Challenges

  • Requires Consistent Effort
  • Not Passive Learning
  • High Discipline Needed

Pros

  • Community Interaction
  • Project-Based Engagement
  • Peer Collaboration
  • Motivational Structure

Challenges

  • Requires Active Participation
  • Time Commitment
  • Team Coordination
02

Practical Engineering Challenges

Students don’t just learn — they apply. Sprint-based challenges, real feature builds, and collaborative exercises simulate actual engineering environments.

Engagement Focus

Continuous hands-on building ensures learning translates into real-world problem solving ability.

03

Career & Industry Readiness

The final stage prepares students for real engineering environments — communication, code quality, system thinking, and industry-style execution.

Outcome Focus

Students graduate with production awareness, collaborative skills, and the confidence to contribute in professional teams from day one.

Pros

  • Industry-Aligned Workflow
  • Improved Communication Skills
  • Professional Code Practices
  • Strong Interview Readiness

Challenges

  • Requires Consistent Practice
  • Feedback & Iteration Cycles
  • High Standards for Quality

Start Your Journey

Build Real-World Engineering Skills —Not Just Theory

Join the complete MERN engineering program designed to take you from fundamentals to production-level systems used in real companies.

Book A Free Counselling →

Design Your Career Path

Choose your path