Non-SOT Event: Python Data Analysis Boot Camp: Introduction to Data Analysis, Cleaning and Manipulat

The Python Data Analysis Boot Camp is a two-day intensive course that combines concept-focused seminars with hands-on exercises pairing Python fundamentals with practical data wrangling and analysis.

By the end of the workshop, participants will be able to:
- Load and explore data sets in Python
- Join, reconcile and otherwise clean up messy data sets
- Do basic statistical analyses, including linear and logistic regression
- Render exploratory visualizations

Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.

No prior programming experience is required to participate in this workshop. However, participants must have (or create) an unrestricted Google account for working with sample notebooks (via Google Colab) and data sets. Likewise, participants will be expected to complete a brief survey and watch up to 3 hours of pre-recorded introductory material before the start of the real-time workshop activities.

Capacity is limited. Paid registration is required to attend.

Additional Information:
- See website for more details: https://www.publichealth.columbia.edu/academics/non-degree-special-programs/professional-non-degree-programs/skills-health-research-professionals-sharp-training/trainings/python-data-analysis
- Email us with any questions: ColumbiaSHARP.Python@gmail.com