This book teaches the practical implementation of various concepts for series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It bs with the fundamentals of series forecasting using statistical modeling methods like AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average), and ARIMA (autoregressive integrated moving-average)....

The world is changing. Every decision must be made faster, smarter, and more accurately. And that\'s possible with business data analysis. You\'ll learn new skills and put them to the test in this project that puts you in the hypothetical scenario of a Business Data Analyst at Airbnb tasked with...

Welcome to the Python for Time Series - Data Analysis & Forecasting course. This course is built for students who wants to learn python applications for time series data sets. This course covers the usage of Python libraries on time series data. There will be both short lectures of statistics...