Data Manipulation and Visualisation in Python at UC 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 and Data Visualisation in Python using the pandas, matplotlib and seaborn libraries.

<h3>Important:</h3>This course takes place over multi-sessions. The dates and times are as follows:<ul><li>Session 1: Thursday, October 15 from 13:30 PM to 16:30 PM AEDT</li><li>Session 2: Friday, October 16 from 13:30 PM to 16:30 PM AEDT</li></ul>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. 
 
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. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). 
 
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. 
 
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.
<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>
	<li>Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries</li>
	<li>Configuring plot elements within seaborn and matplotlib</li>
	<li>Exploring different types of plots using seaborn</li>
</ul>
<h3>Prerequisites:</h3>The fundamental programming concepts taught in our <a href="https://intersect.org.au/training/course/python101/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Learn to Program: Python</a> course is assumed knowledge for participating in this course. If you already have experience with programming, please check the topics covered in the <a href="https://intersect.org.au/training/course/python101/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Learn to Program: Python</a> course to ensure that you are familiar with the knowledge needed for this course.

Data Manipulation and Visualisation in Python at UC Online

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Data Manipulation and Visualisation in Python at UC Online

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