Financial Analysis with ARIMA and Time Series Forecasting
Master Time Series Forecasting with ARIMA for Financial Analysis
Created by Lazy Programmer
Explore the essentials of financial time series forecasting using ARIMA models. Build practical skills in data transformation, model selection, and forecasting for real-world financial scenarios. Strengthen your ability to analyze and predict trends in financial data with hands-on coding exercises.
Packt | Jul 2024 | 400 min
What You Will Learn
You will start by learning the fundamentals of time series analysis and data transformation. Step by step, you will move into hands-on coding exercises that guide you through ARIMA modeling and forecasting. Each topic is reinforced with practical examples using financial data, helping you build confidence as you progress.
Key Features
- Master key time series concepts and data transformation techniques for finance
- Apply ARIMA models to real financial datasets and interpret forecasting results
- Use Python to run stationarity tests and automate model selection with Auto ARIMA
Target Audience
Ideal for financial professionals, data analysts, and anyone comfortable with basic statistics and Python. If you want to deepen your forecasting skills and apply them to financial data, you will find clear guidance and practical tools here. No prior experience with financial time series is needed, but a curiosity for data-driven insights is a plus.
