The Big Data Bootcamp is seeking to enhance its curriculum by integrating a new module focused on real-world applications of data analytics and machine learning. The goal is to create a comprehensive, hands-on project that allows learners to apply theoretical knowledge in practical scenarios. The project involves designing a case study that simulates a real-world business problem, requiring students to utilize data analytics and machine learning techniques to derive actionable insights. This will help bridge the gap between classroom learning and industry application, preparing students for advanced roles in the tech industry. The project will focus on a single industry, such as healthcare or finance, to maintain coherence and relevance. The team will be responsible for researching industry-specific challenges, developing datasets, and creating a step-by-step guide for learners to follow.

The deliverables for this project include a detailed case study document, a dataset relevant to the chosen industry, and a step-by-step guide for learners. Additionally, the team will create a presentation summarizing the project and its potential impact on the curriculum. These deliverables will provide a structured learning experience, enabling students to gain practical skills in data analytics and machine learning.