Data Science 101: Tools & Techniques 📊

In this presentation, Roman will define what data science is and how the topic is not just a single tool but a collection of tools and techniques which allow people to decipher data more effectively than the past. Data science is comprised of statistics, programming, data analysis, and visualization and Roman will explain how these interrelate through a series of examples using Python.

Please use these files to follow along:
Data Science 101 Workbook https://sopeng-my.sharepoint.com/:b:/g/personal/ktrempner_spe_org/Eci9ec4ZcZ5EoKVYzx7itMkBOWiAYMhMYqSHw_3RZmEfbg?e=JwX0Sc

https://sopeng-my.sharepoint.com/:u:/g/personal/ktrempner_spe_org/EZkZIsytzWlPpJ9QQjWlcAEBAa70UhsVqL3JtzbbottIEQ?e=6NywyG