Training and Events
Introduction to Python - Evening Course
|Goldsmiths, University of London|
Yaa Oppong is a bioinformatics scientist with vast experience in Python, e.g. analysis of biological data, from machine learning analyses to the engineering of bioinformatic processing pipelines.
02/03/2020 - 25/03/2020
View in Google Maps (SE14 6NW)
Learn how to manipulate and shape your data, automatic processes or write bespoke programs.
Two evenings per week, Mondays and Wednesdays, 6pm - 9pm
Duration: 4 weeks (24 hours)
This is a practical introduction to programming using Python.
This course is aimed at those new to programming and provides an introduction to programming using Python.
If you are involved in the analysis and management of data, you will soon encounter the need to manipulate and shape your data, automate processes or write bespoke programs. Due to its versatility and gradual learning curve, Python has quickly risen to be one of the languages of choice for introductory courses in programming. Moreover, through the use of excellent numerical packages it can compete against more statistical and mathematical packages such as Matlab and R.
By the end of this course, you should be able to write useful Python programs, use Python for more advanced data analysis and understand more complex Python programmes written by others. The final group project will involve creating a useful program that can help a user control their finances.
The course will cover the following key aspects of programming using Python:
The course is directed by Dr Will Lawrence, who completed his PhD at the department of Electronics and Computer Science at the University of Southampton, and who has a background in psychology. Will has rich experience in delivering training in both Python and R, to diverse audiences.
How can I contact the organiser with any questions?
For any further enquiries or to receive the code to qualify for a discount, please contact at us at email@example.com, or alternatively, 020 7078 5468.
Entry (no or almost no prior knowledge)
Website and registration
Quantitative Data Handling and Data Analysis, ICT and Software, Quantitative Software, Research Skills, Communication and Dissemination
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