Complex, black-box algorithms may be appropriate when you work with clients who want plug-and-play predictions but for clients in fields like healthcare, education, nonprofits, or management, your will typically need to use approaches that make sense to them and that they can modify or replicate on their own. Those needs rule out many common data science tools, such as Python or R, because they overwhelming for non-specialists, and even common statistical applications such as SPSS or SAS, because they are expensive and not built for replication. The open-source application jamovi, which resembles SPSS but is based on R, represents an ideal compromise for consulting work: it is free, it is powerful, it is exceptionally easy to use, and it designed to facilitate iterative analysis and reproducibility. In this session, you’ll learn the basics of jamovi and how you can best use it for consulting work in data analysis. Free online videos and downloadable resources are also provided via https://datalab.cc/tools/jamovi.