|Organised by||Goldsmiths, University of London|
|Presenter||Dr. Will Lawrence|
|Date||30/07/2018 – 01/08/2018|
|Venue||8 Lewisham Way|
|Map||View in Google Maps (SE14 6NW)|
|Contact||Teemu Toivainen, 02070785468, [email protected]|
|Description||This intermediate 3-day course focuses on a number of Python packages that are commonly used for data analysis, including CSV, Numpy, SciPy and Pandas. A knowledge of these packages will help you to read in, manipulate and analyse a wide variety of datasets.
During the course participants will manipulate and clean data as well as use the stats library to conduct basic statistic tests. Additionally, this course focuses on how to write and run simple data analysis programs in Python, and builds on these using some of the powerful extensions available in Python. This will be achieved through hands-on worked examples of real life data problems.
Prerequisite is some basic experience with Python.
|Level||Intermediate (some prior knowledge)|
|Website and registration||
|Keywords||Quantitative Data Handling and Data Analysis, Python|
|Related publications and presentations||Quantitative Data Handling and Data Analysis|
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