Navigating the Data Science Landscape

This chapter explores the evolution of data science modeling, emphasizing the shift from traditional methods to machine learning and the importance of explainable AI. It highlights the necessary skills for aspiring data scientists in 2025, focusing on practical experience and the significance of showcasing projects through GitHub and social media. The conversation also delves into the challenges of building a personal brand and networking in the industry while maintaining a balance between model interpretability and performance.