Module Objective:
Train students to leverage AI and Python for automating industry research, demand analysis, and competitor benchmarking β making sector research 10x faster and smarter.
Section | Content |
---|---|
4.1 Understanding Industry Analysis | Why industry trends are critical for investing. Importance of growth sectors (e.g., EVs, Renewable Energy, AI, Pharma). |
4.2 Tools for AI-Driven Industry Research | - Google Trends API - News APIs (Bing News, GNews) - Web scraping basics (BeautifulSoup/Scrapy for sector news) - ChatGPT for industry summaries |
4.3 Live Practical #1: Web Scraping Sector News | - Scrape top headlines from Economic Times/Business Standard. - Filter only sector-specific news. |
4.4 Live Practical #2: Google Trends Industry Demand | - Fetch Google Trends data for sectoral keywords. - Plot demand trends over time (Python visualization). |
4.5 Live Practical #3: Competitor Benchmarking | - Scrape or fetch data on key players (e.g., Maruti vs Tata Motors in Auto sector). - Summarize using AI (market share, key differentiators). |
4.6 Building an AI-Enabled Industry Dashboard | - Combine News + Demand Trends + Key Competitors into one Excel Dashboard. |
4.7 Mini Assignment | Students pick 1 sector and prepare an AI-driven mini industry research report. |
Python
Google Colab
Libraries: yfinance
, pandas
, matplotlib
, BeautifulSoup
, requests
, pytrends
Excel/Google Sheets (for final dashboard)
By the end of Module 4, students will be able to:
Identify growing industries using AI tools
Automate extraction of news & demand trends
Benchmark leading companies in a sector
Present industry analysis in a structured AI-driven format