This paper is the best overview I’ve seen of the field of data science and its relationship to the field of statistics, written by David Donoho, a Professor of Statistics at Stanford. My apologies if you’ve already come across this.
In this article, Dr. Donoho discusses: Continue reading History and Overview of the Field of Data Science
Map of data science degree programs with information on degree level and department: https://lnkd.in/bvdDqNp
This visual introduction to machine learning walks you step-by-step through solving a real-world data science problem: https://lnkd.in/edUy3gk
Data scientist top skills, educational backgrounds, job trends, employers, and geography – an analysis of LinkedIn data: https://lnkd.in/eYYNqaR
Map of one perspective on data science skills – a great visualization for anyone interested in where to begin or how to hone strengths in data science. The guide is divided up into 10 categories: 1. Fundamentals 2. Statistics 3. Programming 4. Machine Learning 5. Text Mining / Natural Language Processing 6. Visualization 7. Big Data 8. Data Ingestion 9. Data Wrangling and 10. Other Tools: https://lnkd.in/esd6ije