Python and Statistics for Financial Analysis

Instructor: Xuhu Wan

Course Details

• 4 modules
• Flexibility: 1 week at 10 hours a week, learn at your own pace
• Intermediate level
• Taught in English, available in 29 languages (AI Translation)

Skills You'll Gain

• Data Visualization
• Financial Trading
• Statistical Analysis
• Data Import/Export
• Statistical Inference
• Regression Analysis
• Financial Data
• Financial Modeling
• Jupyter
• Model Evaluation

Course Overview

Python is now becoming the number 1 programming language for data science, especially in the financial industry. This course combines both Python coding and statistical concepts and applies them to analyze financial data, such as stock data.

Objectives

By the end of the course, you can achieve the following using Python:

• Import, pre-process, save, and visualize financial data into pandas Dataframe.
• Manipulate financial data by generating new variables using multiple columns.
• Apply key statistical concepts into financial contexts.
• Build and evaluate a trading model using linear regression.

Course Structure

• Module 1: Visualizing and Munging Stock Data - 3 hours to complete
• Module 2: Random Variables and Distribution - 2 hours to complete
• Module 3: Sampling and Inference - 3 hours to complete
• Module 4: Linear Regression Models for Financial Analysis - 4 hours to complete

Instructor

Xuhu Wan from The Hong Kong University of Science and Technology.

Additional Information

There are 5 assignments included in this course.

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