Data Manipulation in Python at Deakin Online

Intersect is a pivotal part of Australian research landscapeWe provide robust, innovative services and collaborative technology to support world-class research at our member organisations and in the wider research communityIntersect delivers data storage, compute and analysis platforms, custom engineering, expert consulting and training programs to thousands of researchers every yearIntersect works closely with the ARDC (Australian Research Data Commons) built from ANDS, Nectar, and RDSIntersect is a member of the Software Carpentry Foundation, the NCI (National Computational Infrastructure) and the AAF (Australian Access Federation)

Intersect Australia

Explore DataFrames in depth and learn about Data Manipulation in Python using the pandas library.

<p>Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data.</p><p>In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets.</p><p>We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.</p><p>Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.</p><p></p><h3>You'll learn:</h3><ul><li>Working with pandas DataFrames</li><li>Indexing, slicing and subsetting in pandas DataFrames</li><li>Missing data values</li><li>Combine multiple pandas DataFrames</li></ul><p></p><p></p><h3>Prerequisites:</h3><p>Either Learn to Program: Python or  Learn to Program: Python and Python for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python and Python for Research courses to ensure that you are familiar with the knowledge needed for this course.</p><p></p>

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Data Manipulation in Python at Deakin Online

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Data Manipulation in Python at Deakin Online

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