ProfessionalQuantitative Finance
Quantitative Finance and Algorithmic Trading Systems
This course is a comprehensive deep dive into Quantitative Finance and Algorithmic Trading. It transitions from foundational data science skills into advanced statistical modelling and practical portfolio management.
Course Syllabus
6 modules • Comprehensive curriculum
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Course Overview
Course Overview
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1. The Quantitative Foundation
This module builds the "Quant Toolbox." You start by mastering the essential Python libraries for data manipulation (NumPy and pandas) and visualization. It then establishes the bedrock of statistics, covering: Central Tendency and Dispersion: Means, variance, and moments. Data Integrity: Understanding the "instability of estimates"—essentially learning that historical data is often a noisy, moving target.
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From HK$500/hour
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Exam-specific strategies and practice
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