Case Study & Business Problem Solving

Service Description

Tools are useless if you don’t know what to build. Knowing how to write a Python loop or an Excel formula is great. But can you tell a Marketing Director which campaign is losing money? Can you predict which customers are about to leave? Tools are just the "how." This module teaches you the "why" and the "what." Welcome to the Applications & Workshop live module at Hands-on Mentor Academy. This is our "Grand Finale" of the week. It is a high-intensity laboratory where we take the skills from Monday (Excel) and Tuesday (Python) and apply them to actual industry case studies. 🚀 The Hands-on Difference: The 3-Step Method We don’t choose sides. We use the right tool for the job. Each Friday session follows a unique "Theory → Excel → Python" structure: Concept (40 mins): We learn the business logic (e.g., What is ROI?). Excel Solution (40 mins): We build a prototype to understand the math visibly. Python Solution (40 mins): We scale it up to handle big data. 📅 The 4-Week Sprint: Week 1: Marketing Analytics (ROI & Performance) Stop guessing half of your marketing budget is wasted. We analyze digital campaign data to calculate ROI, ROAS, and Conversion Rates. You will build a dashboard that flags underperforming channels instantly. Week 2: CRM & Segmentation (RFM) Not all customers are equal. We dive into RFM Analysis (Recency, Frequency, Monetary). You will learn to mathematically score customers and segment them into groups like "Champions" or "At Risk" to target them effectively. Week 3: Churn Prediction (Python Focus) Acquiring a customer is expensive; losing one is painful. We tackle Customer Churn. Since Excel struggles here, we switch gears to Python to perform Exploratory Data Analysis (EDA) and build a simple model to identify why customers are leaving. Week 4: Recommendation Systems (Market Basket) "Customers who bought this also bought..." You will learn the logic behind Amazon's recommendation engine. We perform Market Basket Analysis to discover hidden product associations and build a data-driven cross-selling strategy. 🎓 Your Portfolio Outcome You will not just have code; you will have Business Case Studies. You will be able to walk into a job interview and say, "I don't just know Python; I used it to increase marketing ROI and predict customer churn."