Lecture Plan (10 hrs)

1. Intro to Web & Tools (VS Code, Git, Browsers)
2. HTML Basics — Structure, tags, forms
3. CSS Layouts — Flexbox, Grid
4. Responsive Design — Media queries, mobile-first
5. JavaScript Fundamentals — Variables, functions, events
6. DOM Manipulation — Selectors, modifying elements
7. Git & GitHub — Version control, repos
8. Backend Basics — Intro to Node.js or PHP
9. Frontend ↔ Backend — APIs, JSON
10. Deploying — GitHub Pages, Netlify, Render

Practice (40 hrs)

• HTML & CSS mini tasks (5 hrs)
• Responsive redesign of a static page (5 hrs)
• JS interactivity exercises (10 hrs)
• Backend API + frontend integration (10 hrs)
• Hosting & deployment (5 hrs)
• Final project polish (5 hrs)

Sample Project

Portfolio + Blog Website

• Personal portfolio with a blog section
• Comments via a simple backend API
• Fully responsive & hosted online

Apply for this track

Lecture Plan (10 hrs)

1. Intro to Excel & Data Analytics
2. Excel Functions (SUMIF, VLOOKUP, INDEX-MATCH)
3. Pivot Tables & Charts
4. Data Cleaning in Excel
5. Intro to Power BI — Importing data
6. Data Modeling in Power BI
7. Interactive Dashboards
8. DAX Basics for Calculations
9. Data Storytelling & Report Design
10. Publishing & Sharing Dashboards

Practice (40 hrs)

• Excel formula drills (5 hrs)
• Cleaning messy datasets (5 hrs)
• Pivot tables (5 hrs)
• Importing & modeling in Power BI (10 hrs)
• Dashboard building (10 hrs)
• Final report prep (5 hrs)

Sample Project

Sales Performance Dashboard

• Clean a CSV of sales data in Excel
• Power BI dashboard with region/product/month filters
• Calculated KPIs (growth %, top products)

Apply for this track

Lecture Plan (10 hrs)

1. Intro to Data Analytics, AI & ML
2. Excel & SQL Basics for Data Handling
3. Data Cleaning with Pandas
4. Data Visualization (Matplotlib, Seaborn)
5. ML Concepts — Train/test, metrics
6. Regression Models
7. Classification Models
8. Using AI Tools (ChatGPT, Gemini) for insights
9. End-to-End Mini Project
10. Presenting AI-Driven Insights

Practice (40 hrs)

• SQL queries (5 hrs)
• Pandas cleaning (5 hrs)
• Visualizations (5 hrs)
• Build a regression model (10 hrs)
• Build a classification model (10 hrs)
• Final project prep (5 hrs)

Sample Project

Customer Churn Prediction

• Use telecom customer dataset
• Explore & visualize churn patterns
• Train an ML model to predict risk
• AI-generated summary & dashboard

Apply for this track

Lecture Plan (10 hrs)

1. Python Setup & Basics
2. Variables, Data Types & Operators
3. Conditionals & Loops
4. Functions & Modules
5. File Handling
6. Pandas for Data Handling
7. Automating Excel (OpenPyXL)
8. Web Scraping (Requests, BeautifulSoup)
9. Creating Automation Scripts
10. Deploying & Scheduling

Practice (40 hrs)

• Syntax & loops exercises (5 hrs)
• File handling tasks (5 hrs)
• Pandas manipulation (10 hrs)
• Automated Excel reports (10 hrs)
• Web scraping mini-tasks (5 hrs)
• Final project completion (5 hrs)

Sample Project

Automated Stock Price Tracker

• Scrape daily stock prices
• Save to Excel with timestamps
• Email a daily report automatically

Apply for this track

Lecture Plan (10 hrs)

1. Intro to Digital Marketing & Careers
2. SEO Basics — On-page, off-page
3. Keyword Research (GKP, Ubersuggest)
4. Social Media Marketing — FB, IG, LinkedIn
5. Content Creation — Copywriting, Canva
6. Google Analytics Overview
7. Paid Campaigns — Google & Meta Ads
8. Email Marketing (Mailchimp)
9. Measuring ROI & Reporting
10. Create a Digital Marketing Plan

Practice (40 hrs)

• SEO optimize a blog post (5 hrs)
• Social media calendar (5 hrs)
• Mock ad campaigns (10 hrs)
• GA reporting practice (10 hrs)
• Email campaign setup (5 hrs)
• Final report (5 hrs)

Sample Project

Mini E-commerce Launch

• Create a landing page for a mock product
• Run a small-budget ad (or simulate)
• Track results & deliver a performance report

Apply for this track