Course Detail(DGT053 : Get Started with Fundamentals of Python for Finance (Classroom))

UTAP Funding

DGT053 : Get Started with Fundamentals of Python for Finance (Classroom)

7.00 CPE Hours (Category 5)
Classroom

To reduce the environmental impact and contribute to sustainability efforts, ISCA will contribute our part by eliminating the printing of course materials for selected courses with effect from 2023.

Tips: To make your paperless learning experience more enjoyable, you may bring along a digital device such as a Windows based laptops or tablets to read your online materials during the class. QR code will be provided in the class for you to download the materials in PDF.

Join us and be a Difference Maker!

 

 

To optimize the learning experience, participants are strongly encouraged to use their own laptops, pre-installed with the latest version of Anaconda (https://www.anaconda.com/products/individual) and Microsoft Excel.

Programme Objective

Bonus: Take your Python learning to the next level with ChatGPT, the cutting-edge AI assistant that will enrich your course for an enhanced learning experience.
This new course is specially created for Finance professionals who want to learn the fundamentals of Python in a day. The Python language is an easy programming language to learn for beginners as its code is relatively easy to read, resembling everyday English we speak. Participants will learn the fundamentals of Python as they are guided through a series of hands-on coding exercises related to financial analysis.

Through a mix of short presentations and carefully crafted fun exercises, participants will learn how to write simple and straightforward Python codes to make sense of datasets related to companies’ financials. Simple visualisation of data will also be covered.

Programme Outline

 

  • Introduction to Juptyer Notebooks
  • Introduction to variables and their manipulation, lists, NumPy arrays, subsetting and indexing of lists and arrays, Pandas and dataframes, functions, loop and conditional methods
  • Visualize data using simple plotting techniques
  • Use of Python to understand a financial dataset (case study involving financial analysis of companies listed in the S&P index)


Training Methodology

This hands-on and highly participative course is specially designed for classroom learning. Participants will be given opportunities to write simple codes using Python and create simple visualisation from financial data sets.

Closing Date for Registration

1 week before programme or until full enrolment

Intended For

Any finance professionals who wish to gain fundamental knowledge on Python. Other participants who wish to explore the basic application of Python will also benefit from the course.

Competency Mapping

Category 5 = 7.00 Hours

Schedule & Fees

Date & Time

01 Dec 2023 (9:00 AM - 5:00 PM)

Registration is closed

Fee (inclusive of GST)

For Members: $ 358.56
For Non-Members: $ 430.92

Programme Facilitator(s)

Ong Kia Meng
Jeffrey Ong

Venue

60 Cecil Street
ISCA House
Singapore 049709

Testimonial

Funding

1] NTUC Union Training Assistance Programme (UTAP)
UTAP (Union Training Assistance Programme) is an individual skills upgrading account for NTUC members.
 
To find more on the UTAP funding and support validity period please click here.


 Should you have queries on the funding scheme, you can email to UTAP@e2i.com.sg or call NTUC Membership Hotline at 6213-8008

Programme Facilitator(s)


Ong Kia Meng

Kia Meng is a training solutionist, and technology evangelist in the data analytics space, possessing more than ten years' experience from financial business partnering. His ability to harness technology enables him to deliver impactful data-driven outcomes. Kia Meng founded Databuilder PL to focus on helping clients adopt data-driven learning design and offer training on data science and business analytics topics. He has created digital instructional media and conducted various business skills training for corporate clients, with participants spanning various nationalities.

A Chartered Accountant of Singapore, Kia Meng graduated with an Accountancy degree from the Nanyang Technological University. He holds an Advanced Certificate in Training & Assessment (ACTA) and a Diploma in Design and Development of Learning for Performance (DDDLP) from the Institute for Adult Learning (IAL) Singapore, and he is a certified Data Science Practitioner-Instructor by IBM. As a qualified employment intermediary in Singapore, Kia Meng is also very passionate about helping individuals match their talents to career objectives.


Jeffrey Ong

Jeffrey Ong is a certified curriculum and assessment designer, as well as a trainer for adult learning. He specialises in the design of data science content in both online and classroom training settings. After teaching in schools, Jeffrey transitioned into the education publication industry where he has crafted and conducted product training for clients and staff. His burgeoning interest in Data Science coincided with the opportunity to join Databuilder PL. Jeffrey’s passion lies in Big Data technology and the visualization of data.

Jeffrey holds a Diploma in Adult and Continuing Education (DACE) and Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning (IAL) Singapore. He is also a certified Data Science Practitioner-Instructor by IBM. Jeffrey graduated with an Honours degree in Real Estate from the National University of Singapore, BSc in Mathematics and Economics (Honours) from University of London (Singapore) and a Post Graduate Diploma in Education from the National Institute of Education (Singapore).

To reduce the environmental impact and contribute to sustainability efforts, ISCA will contribute our part by eliminating the printing of course materials for selected courses with effect from 2023.

Tips: To make your paperless learning experience more enjoyable, you may bring along a digital device such as a Windows based laptops or tablets to read your online materials during the class. QR code will be provided in the class for you to download the materials in PDF.

Join us and be a Difference Maker!

 

 

To optimize the learning experience, participants are strongly encouraged to use their own laptops, pre-installed with the latest version of Anaconda (https://www.anaconda.com/products/individual) and Microsoft Excel.

Programme Objective

Bonus: Take your Python learning to the next level with ChatGPT, the cutting-edge AI assistant that will enrich your course for an enhanced learning experience.
This new course is specially created for Finance professionals who want to learn the fundamentals of Python in a day. The Python language is an easy programming language to learn for beginners as its code is relatively easy to read, resembling everyday English we speak. Participants will learn the fundamentals of Python as they are guided through a series of hands-on coding exercises related to financial analysis.

Through a mix of short presentations and carefully crafted fun exercises, participants will learn how to write simple and straightforward Python codes to make sense of datasets related to companies’ financials. Simple visualisation of data will also be covered.

Programme Outline

 

  • Introduction to Juptyer Notebooks
  • Introduction to variables and their manipulation, lists, NumPy arrays, subsetting and indexing of lists and arrays, Pandas and dataframes, functions, loop and conditional methods
  • Visualize data using simple plotting techniques
  • Use of Python to understand a financial dataset (case study involving financial analysis of companies listed in the S&P index)


Training Methodology

This hands-on and highly participative course is specially designed for classroom learning. Participants will be given opportunities to write simple codes using Python and create simple visualisation from financial data sets.

Closing Date for Registration

1 week before programme or until full enrolment

Intended For

Any finance professionals who wish to gain fundamental knowledge on Python. Other participants who wish to explore the basic application of Python will also benefit from the course.

Competency Mapping

Category 5 = 7.00 Hours

Programme Facilitator(s)

Ong Kia Meng

Kia Meng is a training solutionist, and technology evangelist in the data analytics space, possessing more than ten years' experience from financial business partnering. His ability to harness technology enables him to deliver impactful data-driven outcomes. Kia Meng founded Databuilder PL to focus on helping clients adopt data-driven learning design and offer training on data science and business analytics topics. He has created digital instructional media and conducted various business skills training for corporate clients, with participants spanning various nationalities.

A Chartered Accountant of Singapore, Kia Meng graduated with an Accountancy degree from the Nanyang Technological University. He holds an Advanced Certificate in Training & Assessment (ACTA) and a Diploma in Design and Development of Learning for Performance (DDDLP) from the Institute for Adult Learning (IAL) Singapore, and he is a certified Data Science Practitioner-Instructor by IBM. As a qualified employment intermediary in Singapore, Kia Meng is also very passionate about helping individuals match their talents to career objectives.

Jeffrey Ong

Jeffrey Ong is a certified curriculum and assessment designer, as well as a trainer for adult learning. He specialises in the design of data science content in both online and classroom training settings. After teaching in schools, Jeffrey transitioned into the education publication industry where he has crafted and conducted product training for clients and staff. His burgeoning interest in Data Science coincided with the opportunity to join Databuilder PL. Jeffrey’s passion lies in Big Data technology and the visualization of data.

Jeffrey holds a Diploma in Adult and Continuing Education (DACE) and Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning (IAL) Singapore. He is also a certified Data Science Practitioner-Instructor by IBM. Jeffrey graduated with an Honours degree in Real Estate from the National University of Singapore, BSc in Mathematics and Economics (Honours) from University of London (Singapore) and a Post Graduate Diploma in Education from the National Institute of Education (Singapore).


Upcoming Schedule

Registration is closed

Date & Time

01 Dec 2023 (9:00 AM - 5:00 PM)

Fee (inclusive of GST)

For Members: $ 358.56
For Non-Members: $ 430.92

Programme Facilitator(s)

Ong Kia Meng
Jeffrey Ong

Venue

60 Cecil Street
ISCA House
Singapore 049709