Time Series Analysis with Python 3.x
Effectively utilize Python and NumPy for time series analysis
Created by Karen Yang
Explore the essentials of time series analysis using Python and NumPy. Learn how to extract, visualize, and interpret time-based data, and apply proven analysis techniques to real-world projects. Gain the confidence to analyze and forecast trends in a variety of domains.
Packt | Jan 2020 | 203 min
What You Will Learn
You will work through practical examples that guide you from data extraction to advanced modeling. By manipulating real datasets and visualizing results with pandas and Matplotlib, you'll see how each technique applies to real scenarios. Each step builds your understanding and confidence in time series analysis.
Key Features
- Work hands-on with pandas and NumPy to manipulate and visualize time series data
- Apply AR, MA, and ARMA models to uncover patterns and forecast future values
- Build a practical anomaly detection project to identify unusual trends in data
Target Audience
Ideal for Python developers and data professionals with experience in pandas and NumPy who want to deepen their skills in time series analysis. If you're looking to analyze, forecast, or detect anomalies in time-based data, you'll find the tools and techniques you need to advance your projects.
