Now Enrolling · Cohort 7 · June 2026

Data Analytics
Internship
Bootcamp

A 7–8 week, fully virtual, project-driven program that transforms beginners into job-ready data analysts using industry-standard tools and AI-powered workflows.

7–8wks
Duration
100%
Online
16hrs
Live Training
2x
Sessions/Wk
Core Technologies
ExcelPower BI Power QueryDAX PythonGen AI Notion
Program Overview

Everything you need to know

A structured, immersive bootcamp experience built to give you real-world data analytics skills that employers are actively looking for.

📅
Start Date
06 June 2026
Applications open now
Duration
7–8 Weeks
14–16 total training hours
💻
Training Format
100% Online
Live + recorded sessions
🔁
Session Frequency
2× Per Week
2 hours per session

This fully virtual Data Analytics Internship Bootcamp is designed to introduce learners to practical data analytics concepts, tools, workflows, and project-based learning. All training sessions will be recorded and made accessible to participants to support flexible and self-paced learning.

Participants are expected to attend sessions where possible, complete assignments, submit tasks on time, and actively participate in training activities in order to stay on track and successfully complete the program.

Full Curriculum

Module-by-Module Breakdown

11 structured modules covering foundational concepts through advanced AI-assisted analytics — culminating in a job-ready portfolio and CV.

Module 01
AI Powered Project Management

Learn to plan, organize, and manage data analytics projects using AI-enhanced productivity tools.

  • Notion for Business Project & Task Management
  • Setting up project workspaces & dashboards
  • Task tracking, deadlines & team collaboration
  • AI-assisted documentation and note-taking
Module 02
Data Analytics Basics

Build a solid foundation in data and analytics concepts.

  • A Beginner's Guide to Data & Analytics
  • Descriptive, diagnostic, predictive & prescriptive analytics
  • The analytics workflow: collect → clean → analyze → visualize
  • Key roles: Analyst, Engineer, Scientist
Module 03
Data Security Literacy

Understand the critical importance of data security in analytics practice.

  • Security Analyst: Phishing Simulation Project
  • Common cyber threats in analytics environments
  • Data privacy regulations & compliance fundamentals
  • Best practices for handling sensitive datasets
Module 04
AI Powered IDEs

Explore AI-integrated development environments that amplify analyst productivity.

  • Introduction to AI-powered IDEs & code editors
  • Using AI for code completion, debugging & documentation
  • Hands-on practice with AI coding assistants
  • Integrating IDEs into data analytics workflows
Module 05
AI Powered Analytics

Harness generative AI to accelerate every stage of the analytics process.

  • AI Powered Analytics workflows & pipelines
  • AI Powered Info-Analytics & Documentation
  • Build a Financial Data Analytics App with AI
  • Prompt engineering strategies for analytics tasks
Module 06
Introduction to Microsoft Excel

Get hands-on with the world's most widely used data tool.

  • Introduction to Excel and Excel Features
  • Formulas, functions & cell references
  • Sorting, filtering & conditional formatting
  • PivotTables & basic charts
Module 07
Preparing Data for Analysis (PDA)

Learn proven techniques to identify, clean, and transform raw data into analysis-ready datasets.

  • Why We Need to Prepare Data for Analysis
  • Introduction to Microsoft Power Query
  • Mel-Tek Employee Data Cleaning Project
  • Apex-Trust Bank Customer Transactions Cleaning
  • Utilizing Gen AI to Write Power Query M Code
Module 08
Power BI Analytics

Dive into Microsoft's leading business intelligence platform.

  • Power BI Basics: interface & navigation
  • Connecting and importing data sources
  • Clean & Transform Data with Power Query in BI
  • Sennyx Analytics: Financial Performance Project
Module 09
Data Modeling

Understand how to structure and relate data tables for optimal analytics performance.

  • Data Modeling fundamentals & concepts
  • Data Modeling Types in Power BI and Excel
  • Star schema, fact & dimension tables
  • QualiTekk Financial Data Modeling Project
Module 10
Mastering DAX

Master Data Analysis Expressions — the formula language that powers Power BI calculations.

  • Mastering DAX for Data Analysis
  • Calculated columns vs. measures
  • Time intelligence & aggregation functions
  • Utilizing Gen AI to Write DAX Codes
Module 11
Data Analysis & Visualization

Bring your analytics skills together and present insights through compelling visualizations.

  • Visualize Insights: principles of data storytelling
  • TATA Virtual Internship: Business Analysis Project
  • Python Project: Quantium Data Analytics
  • Resume Writing with AI Support
Weekly Schedule

Your Learning Journey

A suggested week-by-week roadmap to guide your progress from orientation to graduation over 7–8 weeks.

W1
Week 1 · Orientation & Foundations
Getting Started: Mindset, Tools & Data Basics
  • Bootcamp orientation, cohort onboarding & platform setup
  • Module 01: AI Powered Project Management (Notion)
  • Module 02: Data Analytics Basics — concepts & career roles
W2
Week 2 · Security, AI & Excel
Data Security, AI IDEs & Microsoft Excel Introduction
  • Module 03: Data Security Literacy + Phishing Simulation Project
  • Module 04: AI Powered IDEs & code assistants
  • Module 06: Introduction to Microsoft Excel & core features
W3
Week 3 · AI Analytics & Data Preparation
AI Powered Analytics & Preparing Data for Analysis
  • Module 05: AI Powered Analytics workflows & app building
  • Module 07: Why Prepare Data? + Power Query Introduction
  • Hands-on: Mel-Tek Employee Data Cleaning Project
W4
Week 4 · Advanced Data Cleaning
Project Work: Bank Transactions & Gen AI for Power Query
  • Apex-Trust Bank Customer Transactions Data Cleaning Project
  • Utilizing Gen AI to Write Power Query M Code
  • Assignment review, peer feedback & Q&A session
W5
Week 5 · Power BI & Data Modeling
Business Intelligence Dashboards & Data Modeling
  • Module 08: Power BI Basics & Transform Data with Power Query
  • Module 09: Data Modeling concepts in Power BI and Excel
  • QualiTekk Financial Data Modeling Project
W6
Week 6 · DAX & Financial Analytics
Mastering DAX Formulas & Financial Performance Analytics
  • Module 10: Mastering DAX for Data Analysis
  • Utilizing Gen AI to Write DAX Codes
  • Sennyx Financial Performance Analytics Project
W7–8
Weeks 7–8 · Capstone & Career Prep
Visualization, Capstone Projects & Resume Building
  • Module 11: Data Analysis & Visualization — Visualize Insights
  • TATA Virtual Internship: Business Analysis Project (Capstone)
  • Python Project: Quantium Data Analytics
  • Resume Writing with AI Support + Bootcamp Graduation 🎓
Technologies

Tools & Platforms

Industry-standard tools you'll gain practical, hands-on experience with throughout the bootcamp.

📊
Microsoft Excel
Data Analysis
Power BI
BI Dashboards
🔄
Power Query
Data Transformation
🧮
DAX
Formula Language
🐍
Python
Data Analytics
🤖
Generative AI
AI-Assisted Work
📋
Notion
Project Management
💻
AI IDEs
Code Assistance
Learning Outcomes

What You'll Walk Away With

By graduation, participants will have a well-rounded, job-ready data analytics skill set backed by a real project portfolio.

🏗️
Data Cleaning & PreparationConfidently clean, transform, and prepare real-world messy datasets using Power Query and Excel.
📈
BI Dashboard DevelopmentBuild interactive Power BI dashboards that communicate business insights clearly and convincingly.
🧠
AI-Augmented AnalyticsUse generative AI tools to write DAX formulas, Power Query M code, and automate analytics workflows.
🗂️
Data ModelingDesign well-structured data models with proper relationships that support accurate, scalable reporting.
🎯
Project-Based PortfolioComplete 6+ real-world simulated projects: Mel-Tek, Apex Bank, TATA, Quantium, Sennyx & QualiTekk.
📝
Career ReadinessWrite a professional, AI-assisted CV and be fully equipped to apply for data analyst roles with confidence.
🔒
Data Security AwarenessUnderstand data privacy, cybersecurity fundamentals, and responsible data handling practices.
🐍
Python for AnalyticsApply Python in a real analytics context through the Quantium virtual internship capstone project.

Ready to launch your
analytics career?

The bootcamp kicks off on 06 June 2026. Prepare your tools, clear your schedule for two sessions a week, and get ready to build skills that employers actively seek.

Stable internet connection
Microsoft Excel installed
Power BI Desktop (free)
Notion account (free)
Google account for Classroom
Python / Anaconda (recommended)
↑ Back to Top