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Complete Program

Data Analytics Mastery Program

Comprehensive 7-8 week program covering Data Foundations & Advanced Analytics with industry-specific capstone projects

7-8 Weeks Duration
3 Classes per Week
1 Doubt Session Weekly
Industry Capstone Project

2 Core Modules

Foundations + Advanced

24+ Classes

3 per week + doubt sessions

4 Key Tools

Excel, SQL, Power BI, Python

6+ Industries

Choose your capstone focus

Detailed Course Curriculum

Complete breakdown of both modules with weekly schedule and topics covered

Module 1

Data Foundations & Analysis

Weeks 1-4 | Master the fundamentals of data analytics and visualization

4 Weeks 12 Classes 4 Doubt Sessions

Week 1: Excel Mastery Fundamentals

3 Classes
Excel Foundations
  • Advanced Excel functions (VLOOKUP, HLOOKUP, INDEX-MATCH)
  • Conditional formatting and data validation
  • Working with large datasets efficiently
  • Data cleaning techniques and best practices

Week 2: Excel Analytics & Pivot Tables

3 Classes
Advanced Excel Analytics
  • Pivot tables and pivot charts mastery
  • Data modeling and relationships in Excel
  • Dashboard creation and automation
  • Statistical functions and analysis

Week 3: SQL for Data Analytics

3 Classes
SQL Fundamentals to Advanced
  • Database fundamentals and design principles
  • Basic to complex SQL queries and joins
  • Data aggregation and window functions
  • Subqueries and common table expressions (CTEs)

Week 4: Power BI Visualization

3 Classes
Power BI Mastery
  • Data modeling and relationships in Power BI
  • DAX functions and advanced calculations
  • Interactive dashboards and visualizations
  • Report publishing, sharing, and collaboration
Module 2

Advanced Analytics & Python

Weeks 5-8 | Dive deep into statistical analysis and machine learning

3-4 Weeks 12+ Classes 4 Doubt Sessions

Week 5: Python for Data Science

3 Classes
Python Fundamentals
  • Python basics and programming fundamentals
  • NumPy for numerical computing and arrays
  • Pandas for data manipulation and analysis
  • Data cleaning and preprocessing techniques

Week 6: Data Visualization & Statistical Analysis

3 Classes
Visualization & Statistics
  • Matplotlib and Seaborn for data visualization
  • Descriptive and inferential statistics
  • Hypothesis testing and A/B testing
  • Correlation and regression analysis

Week 7: Machine Learning Basics

3 Classes
Introduction to ML
  • Supervised vs unsupervised learning concepts
  • Classification algorithms (Logistic Regression, Decision Trees)
  • Regression models and prediction techniques
  • Model evaluation and validation methods

Week 8: Capstone Project & Career Preparation

3+ Classes
Project & Career Prep
  • Capstone project development and execution
  • End-to-end data analysis workflow
  • Presentation skills and storytelling with data
  • Portfolio building and career guidance

Ready to Master Data Analytics?

Join our comprehensive 7-8 week program and transform your career with industry-relevant skills and real-world projects.

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