Data Analytics in Portfolio Investments
In the current globalized market, the ability to extract important information from large financial datasets is the key for a fund manager to make decisive investment decisions.
This micro-credential is designed specifically to equip you with the specialised skill set required in financial data analytics to help make informed investment decisions.
Working under the close supervision of a world-class scholar from the UWA Business School, participants will gain hands-on coding experience using the Python programming language, and extract important information from large financial datasets commonly used by fund managers in the real-world.
Recently voted as the most sought-after programming language in the world (www.codingdojo.com), Python is perfectly placed to provide participants with the cutting edge and know-how in financial data analytics and handling big data.
Upon successful completion, you'll receive:
- Three PD Points - stackable for unspecified academic credit in award courses
- A Certificate of Achievement
- A UWA Plus Professional Development Transcript, listing all successfully completed micro-credentials
Understand and apply the core analytic concepts in the Python programming environment
Efficiently use the full breadth of libraries (including Pandas and Numpy) in Python
Create, manipulate and extract important information from large financial datasets
Construct characteristic-based portfolio and investment strategies