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.
What you'll learn
building a job-ready portfolio
optimizing LinkedIn and GitHub profiles
understanding the daily processes of a data scientist