With an anticipated 35% growth rate through 2032, the US Bureau of Labor Statistics projects data science as one of the three fastest-growing American job fields.
Whether you’re a data scientist now (focused on collecting, shaping, and maintaining data), a data analyst (using that data for exploration, insights, and answering questions), or part of an organization that supports or needs them, finding quality tools for this work is essential.
This article takes a look at data science resources available for users of varied experience, and working at different scales, including those who are just starting out or aspiring to join the field. If this latter includes you, check out this PTP article for more advice on getting started overall.
Below we consider tools of varying types, from larger-scale business intelligence offerings (that include software-as-a-service options galore), to free and open-source tools available for use.
8 Tools for Analysts and Data Scientists to Consider
- Tableau
- Power BI
- D3.js
- Python
- R
- Julia