Breaking into data science and thriving once you're in takes more than technical know-how; it takes practical, field-tested habits most bootcamps skip. This Specialization walks you through building a job-ready portfolio and resume, optimizing your LinkedIn and GitHub presence, working through a real data scientist's daily process, and writing cleaner Python code for data cleaning, visualization, and machine learning. By the end, you'll have a complete toolkit, from landing interviews to avoiding the technical and professional mistakes that derail data science careers.
Applied Learning Project
Through hands-on projects, you'll build a data science portfolio and resume, draft a referral request and cover letter for a target role, and clean, visualize, and model a messy dataset while sidestepping common Python pitfalls, applying career and technical skills to real hiring and workplace scenarios.
