Introduction to Python

Date:

07/01/2019 - 08/01/2019

Organised by:

Jumping Rivers

Presenter:

Dr Colin Gillespie

Level:

Entry (no or almost no prior knowledge)

Contact:

Esther Gillespie, 07740285328, info@jumpingrivers.com

Map:

View in Google Maps  (NE12HF)

Venue:

TBC

Description:

Python is a powerful, general-purpose programming language that plays well with others, runs everywhere, is friendly and easy to learn. Whilst it is a general-purpose language in nature, it has a large number of packages which suitable for a variety of tasks common to data analysts. Pythons syntax is simple yet elegant making it easy to read and quick to develop in. This two-day intensive course will introduce you to the language and equip you with the tools to manipulate, visualise and summarise your data.

Course Outline: 

  • Introduction to Python: A brief introduction to the Python language and development tools for writing Python
  • Data Types: An introduction to common Python data types, both from the language builtins such as lists and dictionaries and additional packages geared toward data analysis such as Pandas Series and DataFrame objects.
  • Visualisation: Create standard statistical graphics such as scatter plots and histograms from your data.
  • Summary Statistics: Apply common statistical summaries to your data sets using the power and speed of the numpy package.
  • Data Manipulation: Become comfortable with manipulating your data, filtering, merging and joining, grouped aggregation.
  • Data I/O: Load and save data from a variety of different data sources such as CSV files, Excel files and binary data storage formats.
  • Control Flow: Get a handle on the basics of program control flow for your scripts. We will examine iterative looping structures (for loops) and conditional expressions (if statements).
  • Functions: Define and use your own functions.

Contact us on info@jumpingrivers.com if you have any questions

Cost:

500.00 + VAT

Website and registration:

Region:

North East

Keywords:

Quantitative Data Handling and Data Analysis, Data Visualisation, Teaching and Supervising Research Methods

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Data Visualisation
Teaching and Supervising Research Methods

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