Quantitative and data analysis in Python
Monash University · VIC · BFF5525
Quantitative and data analysis in Python is a subject at Monash University, VIC. It covers topics like data-analysis, python, statistics. It is part of 13 degrees. The information below is compiled from public course material — approximate, not official.
Monash University
BFF5525
6.00
Topics covered
Degrees that include Quantitative and data analysis in Python
- Bachelor of Actuarial Science and Master of Actuarial Studies
- Master of Accounting
- Master of Actuarial Studies
- Master of Advanced Finance
- Master of Applied Econometrics and Master of Advanced Finance
- Master of Financial Mathematics
- Master of Global Business and Master of Accounting
- Master of Global Business and Master of Accounting
- Master of Global Business and Master of Advanced Finance
- Master of Global Business and Master of Advanced Finance
- Master of Management and Master of Accounting
- Master of Management and Master of Advanced Finance
- Master of Professional Accounting
Frequently asked questions
What is Quantitative and data analysis in Python about?
Quantitative and data analysis in Python covers topics like data-analysis, python, statistics.
Which degrees include Quantitative and data analysis in Python?
Quantitative and data analysis in Python is part of 13 degrees, including Bachelor of Actuarial Science and Master of Actuarial Studies, Master of Accounting, Master of Actuarial Studies, Master of Advanced Finance, Master of Applied Econometrics and Master of Advanced Finance.
How many credit points is Quantitative and data analysis in Python?
Quantitative and data analysis in Python at Monash University is typically around 6.00 credit points. Approximate — confirm with the university.
Where is Quantitative and data analysis in Python taught?
Quantitative and data analysis in Python is taught at Monash University, VIC.
Studying Quantitative and data analysis in Python?
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Sources: Monash University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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