Course Detail()

7.00 CPE Hours (Category 1, Category 2, Category 3, Category 4, Others)
Classroom

Please be informed that in view of the current COVID-19 situation, ISCA will change the format of Jun - Aug 2020 sessions into Live Webinar. A detailed set of instructions on the Live Webinar will also be sent to you closer to date.

Programme Objective

 

Python is a popular and user-friendly programming language. It can serve both as a high-level programming language (in financial institutions) and a general-purpose programming language. Python can be used to power up financial modelling and solve accounting problems more effectively and efficiently.

Participants in this course are highly recommended to review their basic Python skills on an online platform (Gnowbe) on their own prior to the course. During the course, participants extend their Python skills by using more coding methods to handle different case studies related to finance.

 

Pre-requisite: Participants who signed up for this course would have already been using Python and are required to complete a complimentary pre-course module (e-learning) before attending the training.

If you have no prior knowledge on Python, you are required to attend a foundation course IT072: Introduction to Python for Accounting and Finance Professionals. Please click here to find out more.

Programme Outline

By the end of the course, participants are able to:

  • Determine financial metrics such as Net Present Value, Future Value, Inflation adjusted discounting, and Internal Rate of Return of projects with different cash flows
  • Perform case studies designed to utilise their knowledge of Numpy, Series, Pandas and Data Frames and the financial metrics in order to make informed decisions
  • Build Sensitive Forecast Models to aid in financial forecasting
  • Use iteration (For and While loops), if-else statements and Python functions to perform gap analysis of different forecasts in case studies


Training Methodology

Classroom Style (Computer hands-on)

Closing Date for Registration
1 week before programme or until full enrolment
 

Intended For

Accounting professionals who have completed IT072: Introduction to Python for Accounting and Finance Professionals and would like to incorporate Python into Financial Modelling . Any participants with Python programming knowledge are welcome.

Schedule & Fees

Testimonial

Funding

No funding Available!

Programme Facilitator(s)

Please be informed that in view of the current COVID-19 situation, ISCA will change the format of Jun - Aug 2020 sessions into Live Webinar. A detailed set of instructions on the Live Webinar will also be sent to you closer to date.

Programme Objective

 

Python is a popular and user-friendly programming language. It can serve both as a high-level programming language (in financial institutions) and a general-purpose programming language. Python can be used to power up financial modelling and solve accounting problems more effectively and efficiently.

Participants in this course are highly recommended to review their basic Python skills on an online platform (Gnowbe) on their own prior to the course. During the course, participants extend their Python skills by using more coding methods to handle different case studies related to finance.

 

Pre-requisite: Participants who signed up for this course would have already been using Python and are required to complete a complimentary pre-course module (e-learning) before attending the training.

If you have no prior knowledge on Python, you are required to attend a foundation course IT072: Introduction to Python for Accounting and Finance Professionals. Please click here to find out more.

Programme Outline

By the end of the course, participants are able to:

  • Determine financial metrics such as Net Present Value, Future Value, Inflation adjusted discounting, and Internal Rate of Return of projects with different cash flows
  • Perform case studies designed to utilise their knowledge of Numpy, Series, Pandas and Data Frames and the financial metrics in order to make informed decisions
  • Build Sensitive Forecast Models to aid in financial forecasting
  • Use iteration (For and While loops), if-else statements and Python functions to perform gap analysis of different forecasts in case studies


Training Methodology

Classroom Style (Computer hands-on)

Closing Date for Registration
1 week before programme or until full enrolment
 

Intended For

Accounting professionals who have completed IT072: Introduction to Python for Accounting and Finance Professionals and would like to incorporate Python into Financial Modelling . Any participants with Python programming knowledge are welcome.

Programme Facilitator(s)


No course instances or course instance sessions available.