Intermediate Python - Pandas and Packages

Date:

15/04/2019 - 17/04/2019

Organised by:

Goldsmiths

Presenter:

Dr. Will Lawrence

Level:

Entry (no or almost no prior knowledge)

Contact:

Teemu Toivainen
02070785468
air@gold.ac.uk

Map:

View in Google Maps  (SE14 6NW)

Venue:

Goldsmiths, University of London
8 Lewisham Way
London

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. 

  • Conducting simple statistical analyses (e.g. obtaining means, medians and standard deviations): The Python Numpy Module
  • Combining For/While loops and Numpy for complex analyses 
  • Using Pandas to import and manipulate datasets
  • BYO (Bring Your Own) Dataset - Assessment task

 

This module can be taken in conjunction with Introduction to Python.

Discounts

  • 10% if you are taking two courses in consecutive weeks
  • 20% UK students
  • 25% UK Law & Society Association (UKLSA) Members
  • If five people register from the same institution for the same intake, the fifth place is free
  • Goldsmiths students, staff and alumni - email us for current discounts

Cost:

£495

Website and registration:

Region:

Greater London

Keywords:

Data Collection, Quantitative Data Handling and Data Analysis, ICT and Software, Research Skills, Communication and Dissemination

Related publications and presentations:

Data Collection
Quantitative Data Handling and Data Analysis
ICT and Software
Research Skills, Communication and Dissemination

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