Python for Data Science & Statistical Computing
Live online training covering core Python programming, data manipulation, statistical analysis, visualisation, and reproducible workflows for scientific research.
ONLY 8 PLACES LEFT!
https://prstats.org/course/python-for-data-science-and-statistical-computing-pyds01/
Join our four-day live online workshop: Python for Data Science and Statistical Computing (PYDS01). If you’re working with data or planning to build strong foundations in scientific computing using Python, and you want to move from raw data to robust, reproducible analysis, this is the course for you.
What you will learn How to write clean, efficient Python code for data science and research workflows. How to work with real-world datasets using NumPy and pandas. How to perform statistical analysis and hypothesis testing in Python. How to create clear, publication-quality visualisations using modern plotting libraries. How to build reproducible data analysis pipelines suitable for research and industry.
Who should attend Researchers, postgraduate students and industry professionals working with data in any scientific or analytical field. Anyone with basic programming experience who wants to develop or strengthen their Python skills for data science. Those who want to analyse data with confidence and produce transparent, reproducible results.
Course format Four days of live online sessions (approximately 3½ hours each day) in a UK / Western European time zone. Interactive lectures, hands-on practical exercises and dedicated discussion time. Course materials, code and datasets provided, with opportunities to discuss participants’ own projects. Recordings of sessions available after each day for participants in different time zones.
Why this course stands out It offers a practical, end-to-end introduction to Python for data science and statistical computing, designed specifically for researchers and analysts. It focuses not only on how to use the tools, but how to think statistically, write reproducible code, and avoid common analytical pitfalls. Designed and delivered by experienced instructors, the course balances theory, practice and real-world examples in an accessible live-online format.
How to register / next steps Visit the PR Stats website for full course details, upcoming dates and registration information. Early registration is advisable, as places may be limited.
https://prstats.org/course/python-for-data-science-and-statistical-computing-pyds01/
