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Time Series Modeling Methods
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Time Series Modeling Methods, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 7/2026
By Dhiraj Kumar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 14m 2s | Size: 139 MB
Forecasting future trends from historical data is a critical capability across industries, yet selecting the right modeling approach and evaluation strategy can be complex.
Forecasting future trends from historical data is a critical capability across industries, yet selecting the right modeling approach and evaluation strategy can be complex.
In this course, Time Series Modeling Methods, you'll gain the ability to build, evaluate, and compare forecasting models effectively.
First, you'll explore foundational statistical and machine learning approaches used in time series forecasting.
Next, you'll discover how to analyze temporal dependencies using autocorrelation and lag-based techniques.
Finally, you'll learn how to select appropriate models, evaluate them using forecasting-specific metrics, and apply robust validation strategies to ensure reliable performance.
When you're finished with this course, you'll have the skills and knowledge of time series modeling needed to design, implement, and evaluate forecasting solutions for real-world business problems.
Homepage
https://app.pluralsight.com/ilx/video-courses/time-series-modeling-methods/course-overview
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