Certificate in Data Analysis Fundamentals (With Python & Generative AI)

Duration:

14 hours

Medium of Instruction:

English/ Cantonese

Overview

Overview

Whether you are in banking, risk management, portfolio management, or any other field of finance, your role either already requires or will soon require you to be able to program in at least one programming language. As the industry becomes more automated and technology driven, finance professionals with programming/technical skills are going to be more in demand and can help you stay relevant and competitive for the current job market.

The commercial potential of big data is clear, but there is a shortage of specialists with the skills to exploit it.

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Course Details

The purpose of data analysis is to turn raw data into actionable insights. Much of the world’s raw data, in particular with financial data, exists in collections of tables called relational databases. Thus, in order to be an efficient finance professional, you must know how to extract and clean data from these databases using a programming language called Python in different occasion like for the changing trend of stock market, comparison of a large amount of statistics and create complicated graph easily for more clear presentation.

 

Once you got the financial data you need, you would then use Python and various Python-related tools to harvest insights from your data to get a competitive edge, whether it is in creating data-driven financial models for business valuation, business analysis, risk management or simply create beautiful data visualizations to represent your financial data.

 

Unlike any other Data Analysis courses, this course focuses on Python and Generative AI tools (ChatGPT, Claude, Google Gemini, etc) specifically for finance professionals, helping you to be familiar with the most in demand tech skills in the 21st century and how you can apply these skills to your areas of expertise, whether it is portfolio analysis, financial trading, risk management or FinTech. You will learn the practical applications of the theoretical methodologies where you will blend technology and finance into construction of a model. This is a challenging course where you are expected to learn quickly.

Curriculum

  • Introduction to Python
  • Python for data analysis (For Finance)
  • Python pandas and visualization tools (For Finance)
  • Use of Generative AI Tools (For Finance)

 

Highlights:

  • Extract and clean data in different occasion like for the changing trend of stock market
  • Use Python for the comparison of a large amount of statistics and create complicated graph easily for more clear presentation
  • Learn how to blend AI technology and finance into construction of a model

Who Should Attend?

  • Finance professionals who want to make a move in their career from Finance to FinTech
  • IT professionals from non-finance background
  • IT professionals in banking industry who would like to enhance programming skills
  • People from different industries who would like to switch their career to FinTech

Course Details & Fee

Certificate in Data Analysis Fundamentals (With Python & Generative AI) For Finance Professionals – 14 hours  

 

Date: 8 & 15 Dec 2024 (Sunday)

Time: 10:00 am - 1:00pm; 2:00pm - 6:00pm

Course Fee: $4,900

Final Project

For the Data Analysis course, you will learn how to collect, clean and analyze a data set to solve a real-world problem. You will obtain a real-world data set, form a hypothesis about it, clean, parse, and apply modeling techniques and data analysis principles to ultimately create a predictive model using Python and Generative AI.

 

Students present their results and each write a report that includes the following:

  • Clearly articulated a financial problem statement
  • Summary of data acquisition, cleaning, and parsing stage
  • Clear presentation of your predictive model and the processes you took to create it
  • Presentation style appropriate to both technical and non technical audience alike

Contact Us

 

Talk to our team and learn how Kaplan can help you meet your business objectives - 

 

Name: Ms Rowena Li

Title: Director, Business Development

Tel. : 2116 3183

Email: [email protected]

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