*PR stats has several Python and Bioinformatics courses that may be of interest.* *Deep Learning Using Python* Live online course that teaches neural networks, deep learning model building, optimisation and practical applications in Python. https://prstats.org/course/deep-learning-using-python-dlup01/ If you work with marine mammal data — such as acoustic recordings, drone imagery, photo-ID photos or satellite/aerial images — this course helps you harness deep learning to automate detection, classification and pattern recognition. You will learn to build, train, and evaluate models capable of identifying whales or dolphins from images, classifying call types in passive-acoustic data, or spotting individuals in large imagery datasets. This allows you to scale up surveys, reduce manual workload and uncover ecological patterns more efficiently. Perfect for marine-mammal researchers, post-graduates or conservation practitioners keen to apply machine learning to real-world data challenges in ecology and conservation. *Python for Data Science & Statistical Computing* Live online course covering core Python programming, data analysis and reproducible scientific computing. https://prstats.org/course/python-for-data-science-and-statistical-computing... If you work with marine mammal data — such as telemetry tracks, acoustic detections, prey-field surveys, population counts, or environmental covariates — this course gives you the Python-based tools to ingest, clean, analyse and summarise these data in a reproducible, efficient workflow. You’ll learn statistical computing, data manipulation and scripting skills that make it easier to explore movement patterns, population trends and ecological relationships. This course is ideal for marine mammal researchers, analysts or students aiming to streamline data-heavy workflows and produce robust, reproducible results. *RNA-Seq Analysis* Live online course covering design, QC, alignment, gene-expression quantification, differential expression, visualisation, and downstream functional analysis. https://prstats.org/course/rna-seq-analysis-rnaa01/ If you study marine mammals and are interested in physiology, health, adaptation, or responses to environmental stressors (e.g. pollution or climate change), this course gives you the tools to turn raw RNA-Seq data into meaningful biological insights. You’ll learn how to process sequencing data from raw reads through to differential expression analysis and functional interpretation — enabling you to examine gene expression changes in tissue samples, understand stress or disease responses, or investigate adaptation at the molecular level. Ideal for marine mammal researchers and conservation scientists seeking to integrate transcriptomic data into their work. *Single-Cell RNA-Seq Analysis* Live online course covering quality control, normalization, clustering, cell-type or state identification, differential expression, and biological interpretation of single-cell transcriptomic data. https://prstats.org/course/single-cell-rna-seq-analysis-scrn02/ If you study marine mammals — for example investigating immune responses, tissue-specific effects of pollution, stress responses, or disease at the cellular level — this course equips you to process and analyse single-cell RNA-Seq data from raw counts through clustering and interpretation. You’ll gain the skills needed to detect heterogeneity in cell populations (e.g., immune, epithelial, or neural cells), compare responses among individuals or conditions, and draw meaningful biological conclusions about cellular diversity, health, or environmental impact. Ideal for researchers seeking to apply cutting-edge transcriptomic methods to marine mammal biology and conservation. *Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data* Live online course covering the processing, analysis and visualisation of spatially resolved proteomics datasets. https://prstats.org/course/introduction-to-processing-and-analysis-of-spatia... If you study marine mammals and are interested in tissue-level biology — for example investigating effects of contaminants, disease, or environmental stress on organs like skin, blubber, liver, or immune-related tissues — this course provides powerful tools to map protein expression across tissue sections. You’ll learn how to process complex spatial proteomics data, visualize patterns of protein abundance, and interpret spatial variation across cells or tissue regions. This can help reveal cellular- or tissue-level responses to pollutants, disease, or climate change — offering deeper insight into physiological health and pathology in marine mammals. *Introduction to Python for Biologists* Learn to code for biological data analysis in this live online course. https://prstats.org/course/introduction-to-python-for-biologists-ipyb01/ Designed for biologists and life scientists, this practical course teaches you how to use Python to clean, organise, analyse and visualise biological data. Ideal for beginners, it gives you the confidence to move from spreadsheets to reproducible, code-based workflows, helping you work faster, reduce errors, and produce more reliable, publication-ready results. *Advanced Python for Biologists* Take your computational skills further with this live online course. https://prstats.org/course/advanced-python-for-biologists-apyb01/ Ideal for researchers who already know the basics of Python, this course helps you build efficient, well-structured code, automate complex data workflows, and manage large biological datasets. You’ll learn how to integrate multiple data sources, perform advanced analyses, and produce reproducible, publication-quality outputs — boosting productivity and analytical power for modern biological research. *Python for Biological Data Exploration & Visualization* Master how to wrangle, analyse, and visualise biological data using Python — all in a live online course. https://prstats.org/course/python-for-biological-data-exploration-and-visual... This course teaches you how to load, clean and explore biological or ecological datasets, perform relevant statistical analyses, and produce publication-quality visualisations that clearly communicate patterns, trends, and insights. It’s designed for biologists or life-science researchers who want to move beyond spreadsheets and create reproducible, interpretable analyses and graphics with confidence. Please email oliver@prstats.org with any questions -- Oliver Hooker PhD. PR stats