Python for Biological Data Exploration & Visualization (PYBD01)
Live Online Course from PR Stats – September 30 to October 3, 2025
Course Overview This four‑day, live-online course is designed to equip biologists and ecological researchers with practical Python skills for data wrangling and visualization. You'll work hands-on with pandas and seaborn to clean, explore, and visualize biological datasets using real-world examples
What You'll Gain Data manipulation in Python: Import, reshape, filter, and aggregate using pandas Beautiful visualizations: Craft scatterplots, histograms, boxplots, clustermaps, violin plots, and more using seaborn and matplotlib
Insight from data: Learn exploratory plots to detect trends, patterns, and anomalies Storytelling with visuals: Create publication- and presentation-quality figures that communicate biological insights clearly Python for Biologists
Logistics & Structure Feature Details Dates September 30–October 3, 2025 Duration 4 days × ~7 hours/day = ~28 hours total Format Live remote sessions (UK time zone; pattern of weekday sessions)
Software needed Python, pandas, seaborn, matplotlib Experience level Beginners to intermediate Python users interested in biological datasets Each day features live coding, practical exercises, and Q&A. Course recordings and code materials are provided to reinforce learning after sessions.
Course Fees Early-bird (first 5 spots): £430 Standard rate: £480
Who Should Attend? Ideal for: Biologists, ecologists, and conservation researchers aiming to leverage Python for exploratory data analysis Anyone working with biological datasets (genomics, biodiversity surveys, telemetry, trait databases) needing to visualize trends or patterns efficiently Researchers seeking reproducible workflows and efficient figure production for publications or presentations This course supports data-driven insight without requiring your own datasets in advance.
Why Choose PYBD01? Tailored to biological research: Examples and exercises grounded in biology, ensuring relevance for ecology, genomics, biodiversity, and more Focused on visual fluency: Learn visualization theory and implementation side by side Hands-on coding with support: Real-time guidance, practical datasets, and interaction in a live classroom Flexible learning access: Recordings available—replay lessons as needed for reinforcement build clean data workflows and create effective visual summaries of complex biological datasets
Elevate Your Biological Data Storytelling Transform your raw datasets into clear, compelling visual narratives—whether for exploratory insight or publication-ready graphics. Reserve your early-bird spot today! Need help tailoring text for emails, newsletters, posters, or grant proposals? Just let me know—I’d be happy to create a refined version for that purpose.
Email oliver@prstats.org with any questions
