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May 2019

Introduction to Python for Data Analysis: Melbourne, 22–23 May 2019

May 22 @ 9:30 am - May 23 @ 5:00 pm
Saxons Training Facilities, Melbourne, Saxons Training Facilities, Level 8, 500 Collins Street
Melbourne, Victoria 3000 Australia
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Python is a high level and general purpose programming language. Millions of Python users contribute to a thriving open-source community that also enjoys immense commercial use and support. A core set of packages and interfaces (Jupyter Notebooks, Pandas, Numpy, scikit-learn) presents analysts and data scientists with an interactive and powerful tool to perform data mining, statistical analysis and visualisation. Data-science teams usually use at least one of Python and R in their production environments or analysis pipelines. Python is also…

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Introduction to Python for Data Analysis: Sydney, 29–30 May 2019

May 29 @ 9:30 am - May 30 @ 5:00 pm
City Desktop, Sydney, City Desktop, Level 4, 60 York Street
Sydney, NSW 2000 Australia
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Python is a high level and general purpose programming language. Millions of Python users contribute to a thriving open-source community that also enjoys immense commercial use and support. A core set of packages and interfaces (Jupyter Notebooks, Pandas, Numpy, scikit-learn) presents analysts and data scientists with an interactive and powerful tool to perform data mining, statistical analysis and visualisation. Data-science teams usually use at least one of Python and R in their production environments or analysis pipelines. Python is also…

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June 2019

Introduction to Python for Data Analysis: Canberra, 5–6 June 2019

June 5 @ 9:30 am - June 6 @ 5:00 pm
Atlas Computer Training, Canberra, Level 1, 33–35 Ainslie Place
Canberra, ACT 2601 Australia
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Python is a high level and general purpose programming language. Millions of Python users contribute to a thriving open-source community that also enjoys immense commercial use and support. A core set of packages and interfaces (Jupyter Notebooks, Pandas, Numpy, scikit-learn) presents analysts and data scientists with an interactive and powerful tool to perform data mining, statistical analysis and visualisation. Data-science teams usually use at least one of Python and R in their production environments or analysis pipelines. Python is also…

Find out more »
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