Mastering Time Series Analysis and Forecasting with Python

سرفصل های دوره

Comprehensive guide to time series analysis and forecasting techniques with Python, covering ARIMA, SARIMA, Prophet

1. Foundations of Time Series Analysis

1. Introduction to Time Series Data

2. Understanding Time Series Components

3. Stationarity and Its Importance

2. Time Series Modeling with ARIMA

1. ARIMA Model Fundamentals

2. Building and Evaluating ARIMA Models

3. Seasonal Time Series and Decomposition

3. Statistical Concepts for Time Series

1. Probability Distributions in Time Series

2. Descriptive Statistics and Exploratory Data Analysis

3. Hypothesis Testing and Confidence Intervals

4. Forecasting with Time Series Models

1. Forecasting with ARIMA Models

2. Model Selection and Evaluation

3. Practical Forecasting and Model Improvement

5. Advanced Time Series Topics and Applications

1. Data Visualization for Time Series

2. Time Series in Python Practical Implementation

3. Real-world Case Studies and Applications

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تولید کننده: Udemy