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Python for Data Analysis: Flexi- Length

Date:

23/10/2017 - 27/10/2017

Organised by:

Goldsmiths, University of London

Presenter:

Will Lawrence

Level:

Entry (no or almost no prior knowledge)

Contact:

Teemu Toivainen air@gold.ac.uk

Map:

View in Google Maps  (SE14 6NW)

Venue:

Goldsmiths, University of London
8 Lewisham Way
New Cross

Description:

A practical introduction to the Python programming language for data manipulation and analysis.

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. By the end of the course you will have created simple programs that can be re-purposed to solve a wide range of data-centric problems.

The course is useful for professional computer programmers, as well as for economists, psychologists, librarians, accountants, or anyone who uses data in their day-to-day lives.

This course covers:

  • The relevant parts of Python for manipulating and analysing data
  • How to use 'for' loops and 'while' statements for manipulating lists and dictionaries
  • Important modules for data manipulation (e.g. CSV) and for data analysis (Numpy)
  • Solving basic data analysis problems with Python as quickly as possible
  • Minimal theory and a lot of practical experience

The course starts with simple problems and works towards more complex problems. Students will complete an assessment after each worked example with a similiar problem. We will actively encourage the use of online resources such as Stack Overflow to help solve programming problems, ensuring that attendees learn how to find and use these excellent resources for further learning. The length of the course is flexible and depends on your needs.

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Course Structure- you have an option to choose a five Day course (Monday to Friday) or a three day Course(Wednesday to Friday)

Beginner: Monday

  • An introduction to the types of data-centric problems that Python is great for solving
  • How to install Python and an IDE (code-editing program)
  • Running some ready-made simple Python programs
  • Reading and writing to a CSV file using the CSV module
  • Basic Maths in Python

Beginner/Intermediate: Tuesday

  • Methods of storing data: creating lists
  • Using 'While' and 'For' loops to iterate quickly and effectively through large data sets
  • Manipulating data using conditionals: If/Else statements
  • 'Classroom data' - worked example

Intermediate: Wednesday

  • What are 'modules' and how can they be useful for data analysis tasks
  • Reading and writing CSV files into a Python program: The CSV module
  • Identifying and Fixing errors in datasets
  • 'Accounting data' - worked example

Upper Intermediate: Thursday & Friday

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

Cost:

£750 - for 5- Day Course (18-22 September 2017)
£450 - for 3- Day Course (18-20 September 2017)

Website and registration:

Region:

Greater London

Keywords:

Python

Related publications and presentations:

Python

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