FINANCIAL ANALYTICS WITH PYTHON
About this course
Course objectives
Participants will be introduced to the Python programming language for the purpose of performing financial analytics. Important topics covered include data types and structures, data munging, transformation, visualisation, time-series modelling, input / output operations, statistical application with python and working with EXCEL. Learners will also be exposed to the crucial Python scientific stack that are used by data scientists and will be provided with opportunities to solve financial data analytics problems. The course will cover the key pillars of analytics – descriptive analytics, predictive analytics and prescriptive analytics.
E-certificate will be issued 10 working days after successful completion of the course.
Course description
1. Hands-on demonstration with Jupyter Notebook and Python
2. Working with key data science libraries including NumPy, Pandas, Matplotlib, and Seaborn.
3. Important topics covered include data types and structures, data munging, transformation, visualisation, time-series modelling, input / output operations, statistical application with python and working with EXCEL.
4. The course will include financial examples.
Target audiences
Suitable for finance professionals, entrepreneurs, investment professional, technologist who are looking to gain deep skills in Artificial Intelligence.