By allowing the analysis of thousands of genes, mRNAs, and proteins in a single cell, single-cell technologies have transformed biological research. This transformation, however, has come at a cost, as the complexity of single-cell data analysis can be an obstacle to new users. For those just starting out, this infographic provides an overview of the basic steps involved in getting started with single-cell data analysis. Download now and learn more about preprocessing, clustering, differential gene expression analysis, as well as visualization and interpretation.