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FinTech

Python Fundamentals For Investment


Description
HRDC CLAIMABLE !

Level:
*Refresher

Accreditation:
5 SIDC CPE points
4 FIMM CPD points

ICF Competency Type / Title / Level:
*Functional – Technical Analysis / Skill / Level 3

Learning Outcome:
1. Explain basic coding
2. Recognise the benefits of using Python in investment activities
3. Describe how Python can be used to solve various types of investment related problems

Course Synopsis:
The world of finance is changing and now is the time to invest in your future. The skillsets of investment bankers, asset managers, sales and trading professionals are all rapidly evolving and developing a skillset in Python is essential if you want to progress. There are no pre-requisites to attend this course. This unique course offers you the opportunity to learn fundamentals of Python for investment professionals in an intuitive and easy way!

You will acquire some hands-on experience in Python coding upon successful completion of this short but intensive course. It explores the key characteristics of this powerful and modern coding tool to solve problems in the area of investments.

Trainer's Profile: Dr. Theang Kok Foo

Dr Theang is a Certified Public Accountant in California, U.S.A, with over 25 years of experience in the financial sector. He began his career as an auditor with Ernst & Young in Washington, D.C. and is currently working as a licensed equity dealer with a major stockbroker in Malaysia. He is also a professional trainer who conducts investment seminars for Malaysia’s leading financial institutions on a regular basis. His areas of expertise include portfolio management, fundamental analysis, technical analysis and market forecasting. Dr Theang obtained his PhD in Finance from Monash University Malaysia. He also has a Master of Science in Accounting from the University of Delaware as well as a Bachelor of Science in Accounting from the University of Louisiana at Lafayette.

Accreditation: 5 SIDC CPE points Categories: CPE Courses Below RM200 Price: 199.00

Content
  • Downloadable Notes
  • 1.1 How To Access Code
  • Getting Started with Python
  • 2.1 Introduction
  • 2.2 Google Colaboratory
  • 2.3 Installing Python For Offline
  • 2.4 Anaconda Installation
  • 2.5 Launching Colab
  • 2.6 Jupyter Notebook
  • Basic Python Coding
  • 3.1 Using Packages And Modules
  • 3.2 Scripts For Variables And Types
  • 3.3 Scripts For Lists
  • Application of Python in Various Investment Related Problems
  • 4.1 Regression Analysis
  • 4.2 Prediction Model
  • 4.3 Machine Learning
  • Conclusion
  • 5.1 Conclusion
  • Summative Assessment
  • Final Test
  • Course Evaluation
Completion rules
  • All units must be completed
  • Leads to a certificate with a duration: Forever