Master Study AI

Financial Data Analysis & Preprocessing: Preparing High-Quality Inputs for AI Models

artificial-intelligence-ai.

Table of Contents

Course Modules:

Module 1: Introduction to Financial Data

Types of financial data: price, volume, economic indicators, alternative data

Data frequency: tick, minute, daily, quarterly

Common sources: Yahoo Finance, Quandl, Alpha Vantage

Module 2: Exploratory Data Analysis (EDA)

Descriptive statistics: mean, volatility, skewness, kurtosis

Visualizing trends, cycles, and anomalies

Understanding market regimes and seasonality

Module 3: Cleaning and Handling Missing Data

Interpolation, forward/backward fill, imputation

Removing noise, bad ticks, and outliers

Adjusting for splits and dividends

Module 4: Time Series-Specific Preprocessing

Stationarity tests: ADF, KPSS

Smoothing techniques: rolling averages, exponential moving average

Log transformation, differencing, and normalization

Module 5: Feature Engineering for Financial AI

Technical indicators: RSI, MACD, Bollinger Bands

Lagged variables and returns

Encoding cyclical time (day, month, quarter)

Module 6: Capstone Project – Prepare a Financial Dataset for Modeling

Choose a financial use case (e.g., stock prediction, volatility analysis)

Clean and engineer features from a raw dataset

Submit a processed dataset, EDA report, and code notebook

Tools & Technologies Used:

Python

Pandas, NumPy, Matplotlib, Seaborn

TA-Lib / pandas-ta for technical indicators

statsmodels for stationarity tests

Target Audience:

Finance students and analysts transitioning into AI

Data scientists preparing financial models

Quantitative traders and investment professionals

Developers building fintech or forecasting tools

Global Learning Benefits:

Learn to handle real-world financial data complexities

Prepare time series datasets for robust model performance

Gain experience with technical indicators and feature design

Lay the foundation for predictive analytics, trading bots, and risk models

 

🧠Master Study NLP Fundamentals: The Foundation of Language Understanding in AI

📚Shop our library of over one million titles and learn anytime

👩‍🏫 Learn with our expert tutors 

Read Also About Machine Learning for Risk Management: Predict, Detect, and Prevent Financial Threats