Data Science with Python
Developed by the School of Data science and Computational Thinking
with a specialisation on agrisciences and biological sciences
Data Science with Python aims to build capability in data and data science and enable students to work in multiple, data-rich domain areas.
The teaching effort strives to transform the student experience through collaborative learning and challenge participants to apply the methods in real, practical examples.
The module covers various topics including programming in Python, building data models, decision making using data and data ethics. For information reach out to Ms Poole (dataschool@sun.ac.za)
341 (8) Data Science with Python
Develop skills and capabilities in data science and computational thinking.
With an emphasis on the implementation of inferential thinking.
Ideal module for those who have completed their first-level module in mathematics but do not yet have programming skills.
What can you expect to learn?
Develop confidence in analysing large datasets and expand analysis using Python programming
PROGRAMME INFORMATION
NQF level 7 with 8 credits
Commencing on 18 September 2023
Duration: 6 weeks
- Undergraduate (elective) module offered in second semester.
- Students watch, have in person time, and then develop the principles further through case studies and exercises.
Programme Leader
Marike Visser
Contact Information
Prerequisite pass modules
- Mathematics (Bio) 124 or
- Mathematics 114
- Home department: School for Data Science and Computational Thinking
APPLICATION PROCEDURE
Register by 31 July
Career applications
The crucial skills developed in this module form an essential component of soil science, horticulture, genetics, plant pathology, agronomy.
This module can be taken as an additional module to set yourself apart within your discipline.
Whether you are considering an AgTech start-up, or setting yourself up to fulfil your dream, data are used for smart farming and is considered by employers as an integral skill.
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