Python Training for Data Science and Machine Learning Develop practical Python skills for data analysis, machine learning, and modern scientific computing through our series of Python training courses. These courses are designed for researchers, analysts, and professionals who want to apply Python to real-world datasets using widely adopted libraries and workflows. Live Online Courses Python for Data Science and Statistical Computing (PYDS01) Learn Python for data science and statistical computing. Build practical skills using NumPy, Pandas, and data visualisation tools across two days of hands-on training. https://prstats.org/course/python-for-data-science-and-statistical-computing-pyds01/ Deep Learning Using Python (DLUP01) An intensive introduction to deep learning using Python and PyTorch. Learn neural networks, convolutional neural networks, and transformer models through practical coding exercises and real datasets. https://prstats.org/course/deep-learning-using-python-dlup01/ Machine Learning for Time Series (MLTP01) Learn how to model, analyse, and forecast time series data using machine learning methods in Python, with practical workflows for real-world datasets. https://prstats.org/course/machine-learning-for-time-series-mltp01/ Advanced Python for Ecologists and Evolutionary Biologists Take your Python skills further by learning object-oriented programming, testing, optimisation, and best practices for building robust scientific and bioinformatics workflows. https://prstats.org/course/advanced-python-for-ecologists-and-evolutionary-biologists/ Recorded Courses Machine Learning using Python A practical introduction to machine learning using Python, covering supervised and unsupervised learning, neural networks, and applied model building with libraries such as scikit-learn and TensorFlow. https://prstats.org/course/machine-learning-using-python/ Machine Vision using Python Apply deep learning and computer vision techniques using Python, OpenCV, and TensorFlow to classify images and analyse visual datasets, including ecological and environmental applications. https://prstats.org/course/machine-vision-using-python/ On-Demand Learning All courses are also available ason-demand recordings, allowing you to learn at your own pace and revisit material whenever needed. Recorded courses are ideal for busy schedules or different time zones, enabling participants to pause, review, and work through examples while retaining full access to course materials. Emailoliver@prstats.orgwith any questions Oliver Hooker PhD. PR stats Oliver Hooker (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)