Data Science Professional Development

Data Science Professional Development

Week 1

To do

• Link to enroll for ABS website

Study Support

1. Academic Progress And Support
2. Study Support
3. Learning adviser

Week 2

Additional Data Set

1. Lending club
2. WALMART
3. AIRBNB
4. Transport NSW
5. UNICEF
6. Kaggle.com
7. Google cloud Google dataset search
8. City of NewYork
9. UCI Datasets

UniSA Online Project

UniSA Online Project

Aquaculture Project

Aquaculture farmers observe a wide range of survival rate in their culture per harvest cycle due to various reasons. Therefore, there is a need to explore modelling techniques to help guide farming techniques in ensuring a high survival in their culture. This is an industry project using confidential data from an aquaculture farm.

The aims of the project are to:

1. Identify statistically significant variables associated with a high survival rate (>80%)
2. Test and compare regression techniques to forecast harvest yield

The task will involve, but will not be limited to: literature review, data cleaning, data analysis, modelling, calibration, testing, and reporting.

Please contact Dr Neil Bretana
Neil.Bretana@unisa.edu.au

The draft words.