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

Medium of Instruction:

English/ Cantonese

Overview

Overview

Transform Raw Data into Strategic Financial Insights with the Power of AI.


In the modern financial landscape, the ability to turn raw data into actionable strategy is the ultimate competitive advantage. While much of the world’s financial data is locked in complex relational databases, the "efficient professional" of the 21st century uses Python and Generative AI to unlock it.
This intensive programme is specifically designed for finance experts who need to navigate the shift from traditional spreadsheets to automated, AI-driven analysis. Whether you are analyzing shifting stock market trends, comparing massive statistical datasets, or building complex valuation models, this course provides the technical toolkit to lead in the FinTech era.
 

Why This Course is a Career Game-Changer

Unlike generic data science bootcamps, Kaplan’s Certificate in Data Analysis Fundamentals is built by finance professionals, for finance professionals.

  • AI-Enhanced Coding: Learn how to use Generative AI (ChatGPT/Claude) to write, debug, and optimize Python code, even if you have zero programming background.
  • Finance-Centric Curriculum: Every exercise uses real-world financial datasets, from stock market trends to corporate financial statements.
  • Beyond Spreadsheets: Handle data volumes that would crash Excel and automate repetitive cleaning tasks that used to take hours.
  • Recognized Certification: Earn a Kaplan Certificate that validates your skills in the two most in-demand technologies of the 21st century.
     

What You Will Master

 

Part 1: Python Foundations & AI Co-Pilot

  • Zero-to-Code with AI: Learn to use ChatGPT and Claude as coding co-pilots to write, debug, and explain Python scripts instantly.
  • Core Logic for Finance: Master the essential Python syntax, loops, and functions required to automate repetitive financial calculations.


Part 2: Financial Data Wrangling with Pandas

  • The "VLOOKUP" Killer: Use the Pandas library to clean, filter, and merge massive datasets that would typically crash or slow down Excel.
  • Automated Data Ingestion: Connect and sync data from multiple sources, including SQL databases, CSVs, and Excel workbooks, into one "Source of Truth."

     

Part 3: Visual Analytics & Predictive Modeling

  • High-Impact Visuals: Create professional-grade, interactive financial charts and heatmaps using Matplotlib and Seaborn for boardroom presentations.
  • Predictive Construction: Blend finance and technology to build functional models for Business Valuation, Risk Management, and Stock Trend Analysis.

Who Should Attend?

  • Finance Professionals: Moving from traditional roles (Accounting, Banking, Insurance) toward FinTech.
  • IT Professionals: Seeking to understand the financial context of the data they manage.
  • Career Switchers: Anyone looking to enter the high-growth Hong Kong FinTech sector.
  • Beginners Welcome: This course assumes no prior coding knowledge. We build your skills from the ground up.

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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Anytime, anywhere

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