This foundational, technology agnostic workshop will focus on the design, execution, and downstream analysis of spatial transcriptomics experiments, with the goal of helping participants transform raw spatial datasets into biologically meaningful insights. The program is designed to provide a foundational understanding of both spot-based and single-molecule spatial transcriptomics technologies, while also equipping participants with practical guidance on experimental planning, tissue preparation, platform selection, and computational analysis. This workshop will not be limited to a single technology or vendor. Instead, it will expose participants to the broader landscape of spatial transcriptomics methods by integrating concepts and datasets from both spot-based and single-molecule platforms. Example datasets and case studies may include technologies such as Visium HD, Slide-seq, Stereo-seq, Xenium, CosMx, and other emerging spatial platforms. In doing so, the workshop will help participants understand both the common analytical foundations across platforms and the important differences that affect experimental design, preprocessing, segmentation, integration, and interpretation. The workshop will then guide participants through the fundamental computational steps required to process raw spatial datasets and conclude with analytical approaches for biological querying, interpretation, and hypothesis generation. The workshop will place particular emphasis on comparative understanding across technologies, including differences in spatial resolution, sensitivity, image dependence, cell segmentation requirements, and computational burden. This workshop will be offered in person and virtually. Virtual participants will be supported by dedicated virtual teaching assistants, although the learning experience may not fully replicate the benefits of in-person participation. Priority for in-person participants will be given to researchers located in Canada whose work aligns closely with the thematic and training goals of the program.