The ONLY Data Science Roadmap You Need to Get a Job

A learning roadmap is presented for aspiring data scientists, focusing on the core skills needed to secure a job in the industry. The guide emphasizes a strong foundation in statistics, covering topics like probability distributions and hypothesis testing, alongside essential mathematics such as calculus and linear algebra. It outlines necessary programming skills in Python and SQL, including key libraries like Pandas and Scikit-learn, and crucial tech tools like Git and Bash. The roadmap concludes by covering fundamental machine learning algorithms like regression and decision trees, advising a focus on the basics rather than advanced models for entry-level positions.