Kickstart Your Python Journey This August-October!
Join our exclusive 1‑to‑1 Python Fundamentals Programme designed for high schoolers and pre‑university students.
Unlock the power of Python to transform raw stock market data into actionable insights.
From mastering financial datasets in Week 1 to building a complete stock performance report in Week 4, this hands-on program takes you step by step through real-world applications.
Learn to analyze data with Pandas, calculate daily returns, and visualize stock trends with Matplotlib — skills that put you ahead in financial analytics
Live Sessions:
Week 1 – Introduction to Python & Financial Data: Introduction to Python, Variables and basic data types, Reading stock market data using Pandas, Understanding a financial dataset
Week 2 – Data Analysis with Pandas: Selecting and filtering data, Basic calculations, Calculate daily percentage returns
Week 3 – Visualizing Stock Performance: Introduction to Matplotlib, Create line charts, Compare stock price trends
Week 4 – Mini Project: Stock Performance Report: Combine Python skills learned, Interpret simple financial results, Present findings
Who Suits the Programme
The 1-to-1 programme is targeted to learners without prior programming experience.
Benefits:
Upon successful completion of the courses, you will be awarded a digital certificate of completion. This certificate comes with a unique credential ID for easy verification and can be proudly shared on LinkedIn or other professional platforms to showcase your achievement.
Registration Deadline: One day before the first class begins
Our Instructors Background:
A Data Science graduate with industry experience in healthcare analytics and financial data analysis, the instructor specializes in Python programming, data visualization, and practical data-driven problem solving. Beyond technical experience, the instructor has taught introductory Programming to secondary school and university students, focusing on making complex concepts easy to understand through hands-on learning.
Linkedin: www.linkedin.com/in/chai-jin-xin-770352270
For more assistance, kindly contact FINTLAS at [email protected] .
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