How to get started in Data Science
Eugene Yan
A guide recommends essential tools and skills for entering data science, including SQL, Python or R, and Apache Spark as foundational technologies, alongside probability, statistics, and machine learning knowledge. The author suggests practicing through three main approaches: building personal projects (mentioning a 12GB dataset project), volunteering with organizations like DataKind, and developing communication skills through speaking and writing at meetups and blogs. Success requires practice and application of skills in real-world environments rather than relying solely on online courses.
Why it matters
Tools and skills to pick up, and how to practice them.
