Programme Objective 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.
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 MethodologyThis hands-on and highly participative course is specially designed for online learning. Participants will be given opportunities to write simple codes using Python and create simple visualisation from financial data sets. Closing Date for Registration1 week before programme or until full enrolment
Training MethodologyThis hands-on and highly participative course is specially designed for online learning. Participants will be given opportunities to write simple codes using Python and create simple visualisation from financial data sets. Closing Date for Registration1 week before programme or until full enrolment
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.
Category 5 = 7.00 Hours
29 Aug 2022 (9:00 AM - 5:00 PM)
For Members: $ 289.97 For Non-Members: $ 348.82
16 Dec 2022 (9:00 AM - 5:00 PM)
Ong Kia Meng
Kia Meng is a training solutionist, and technology evangelist in the data analytics space with more than ten years' experience in financial business partnering; implementing solutions through collaboration with clients and stakeholders. He has proven ability to leverage technology and deliver impactful data-driven outcomes. He founded Databuilder Pte. Ltd. to focus on helping clients to adopt data analytics solutions in their businesses, as well as offering training on data science and business analytics topics.
Kia Meng holds the WSQ Advanced Certificate in Training & Assessment (ACTA) from Institute for Adult Learning (IAL) Singapore, and he is a Chartered Accountant of Singapore. He has conducted regional training for corporate clients spanning ASEAN countries and Japan, which included participants from various nationalities.
Kia Meng is passionate about blended learning models and designing digital instructional media for clients and has created e-Learning modules in Chinese for Panasonic China before. He also facilitates workshops on Big Data topics at the NTU Alumni Club where he volunteers.
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).
Online Classroom in or outside ofSingapore
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05 Jul 2022 - 05 Jul 2022
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