GateXAIML / Recommended Books
Time Series Analysis and Forecasting
Why this subject matters: Forecasting demand, revenue, or sensor readings over time is a recurring, practical Data Scientist task — and one that's tested differently from standard ML because time series data breaks the usual independence assumptions.
Standard reference
Forecasting: Principles and Practice
Extremely accessible and widely used — the standard starting point for time series forecasting, with a strong practical focus.
In-depth
Time Series Analysis
A rigorous, widely cited econometrics-oriented treatment of time series methods — dense but foundational, especially for the statistical theory behind ARIMA models, stationarity, and forecasting.
Practice & problems
Practical Time Series Analysis
Python-based, hands-on exercises across finance, IoT, and business forecasting scenarios.
