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    Education: Python for data science, machine learning, and scientific computing (PDMS01)
    Submitted by Oliver Hooker; posted on Wednesday, September 04, 2019

    September 23-27, 2019
    Glasgow City Centre, Scotland, UK
    www.psstatistics.com/cour[...]ms01/

    This course will be delivered by Dr. Mark Andrews.

    OVERVIEW

    Python is one of the most widely used and highly valued programming languages in the world, and is especially widely used in data science, machine learning, and in other scientific computing applications. This course provides both a general introduction to programming with Python and a comprehensive introduction to using Python for data science, machine learning, and scientific computing. The major topics that we will cover include the following: the fundamentals of general purpose programming in Python; using Jupyter notebooks as a reproducible interactive Python programming environment; numerical computing using numpy; data processing and manipulations using pandas; data visualization using matplotlib, seaborn, ggplot, bokeh, altair, etc; symbolic mathematics using sympy; data science and machine learning using scikit-learn, keras, and tensorflow; Bayesian modelling using PyMC3 and PyStan; high performance computing with Cython, Numba, IPyParallel, Dask. Overall, this course aims to provide a solid introduction to Python generally as a programming language, and to its principal tools for doing data science, machine learning, and scientific computing. (Note that this course will focus on Python 3 exclusively given that Python 2 has now reached it end of life).

    FEES

    The course fees are £550 and the first five applicant will receive free accommodation for the week, breakfast and lunch.

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