This summer school is designed as an intensive curriculum aimed at helping early career researchers get started in data-driven research. The school will include full-day lectures on various topics, including data acquisition, data preprocessing, exploratory data analysis, descriptive data analysis, data analysis tools and techniques, visualization and communication, ethical issues in data science, reproducibility and repeatability, and understanding of domain/context. 

The last day consists of individual tracks focusing on a subarea of big data analysis. This year's tracks include Foundations of Data Science, Software Analytics, Digital Agriculture and Big Data Applications. Each track consists of tutorials and invited lecturers that highlight current research methodologies and challenges. Participants may choose a track when they register.

Cost is $100 for regular registration and $75 for student registration. Space is limited. Register online.