Description

Time Series Analysis with Python Cookbook

  Python Time Series Analysis

  Introduction: Python Time Series Analysis is essential for data scientists and analysts who want to master forecasting, modeling, and trend detection. This course offers practical examples, step-by-step instructions, and real-world applications to help you excel in time series analysis using Python.

Course Description

This Time Series Analysis with Python Cookbook, Second Edition (Early Access) by Packt Publishing (2025) is designed to help data enthusiasts, analysts, and developers learn how to implement robust time series solutions using Python. Throughout this course, you will gain hands-on experience with real-world datasets and practical projects, allowing you to develop predictive models and improve business decision-making.

By enrolling, you will explore powerful techniques for analyzing trends, seasonality, and forecasting. You will also learn to integrate Python libraries such as Pandas, NumPy, Matplotlib, and statsmodels to create automated workflows for data analysis. Furthermore, the course emphasizes practical applications, ensuring that you can apply your knowledge immediately in professional or academic projects.

What You’ll Learn

• Time series decomposition and visualization techniques
• Forecasting models, including ARIMA, SARIMA, and Prophet
• Handling missing data, outliers, and anomalies
• Implementing moving averages, exponential smoothing, and trend detection
• Building predictive pipelines using Python libraries
• Backtesting and evaluating model performance

Requirements

• Basic knowledge of Python programming
• Familiarity with data analysis concepts
• Understanding of statistics and probability fundamentals
• Installed Python environment with essential libraries (Pandas, NumPy, Matplotlib)

About the Publication

Published by Packt Publishing, this second edition provides early access to updated content, ensuring you stay ahead in modern time series methodologies. Packt Publishing is renowned for high-quality technical guides that empower learners worldwide. Whether you are a beginner or an experienced analyst, this course equips you with actionable skills to excel in time series analysis using Python.

Explore These Valuable Resources

• Python Data Science Tutorials
• Kaggle Datasets for Time Series
• Pandas Official Documentation

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