This interdisciplinary Data Science Professional assessment uses Tesla as the central organisational case study to examine how data management, leadership, entrepreneurship, technology and ethics interact within a contemporary technology-driven business. Students produce an individual report of 4,500 words equivalent, combining technical data-science competencies with strategic and managerial analysis. The Data Science Professional A… The Data Science Professional A… Part A – Database Design and Distributed Frameworks focuses on data management. Students design an Entity-Relationship model for Tesla-related organisational data, translate the model into a relational schema and justify the database structure. They also work with a specified database to produce Oracle SQL queries for analytical requirements. A further component critically evaluates the security, privacy and ethical implications of Tesla's Full Self-Driving technology, supported by relevant academic evidence. The Data Science Professional A… Part B – Leadership and Developing People requires critical analysis of Tesla's leadership model and organisational culture. Students examine current leadership challenges and their implications for organisational and employee performance before proposing a leadership and people-development strategy designed to support future organisational growth, employee engagement and sustained performance. The Data Science Professional A… Part C – Entrepreneurial Practice and Managing Risk investigates the proposed creation of a Tesla spin-out venture focused on innovative, low-cost green hydrogen production systems. Students critically evaluate management support for the entrepreneurial initiative and recommend an evidence-based course of action. They must also propose a multidimensional approach to mitigating entrepreneurial risks and barriers, critically assess entrepreneurial leadership characteristics, and develop a role descriptor for the person who would lead the new venture. The Data Science Professional A… The final element examines whether GDPR and data or AI ethics constrain or support entrepreneurial practice among employees. Overall, the coursework integrates database modelling, SQL, data governance, leadership development, organisational culture, entrepreneurship, innovation, risk management and ethical decision-making within a single applied case study. The Data Science Professional A… Important for the public Reference Library: the brief explicitly states that it is for Coventry University Group students' own use and must not be passed to third parties or posted on any website. The Data Science Professional A… So publish an original high-level overview like the one above, but do not upload the original assessment brief itself to the public library.
Megaminds has supported academic requirements in data science / data management / leadership and entrepreneurship, the data science professional and related disciplines.