Practical Time Series Analysis
Practical Time Series Analysis will introduce you to the basic concepts of time series analysis and describe powerful yet simple techniques in Python which data scientists and data engineers would find useful in dealing with real life datasets in industrial settings. This book focuses on explaining important concepts and practical techniques to process, summarize and model time series data. Real life case studies with code snippets in Python are used to demonstrate the concepts and techniques.
Offered by
Difficulty Level
Intermediate
Completion Time
8h8m
Language
English
About Book
Who Is This Book For?
This book is for anyone who wants to analyze data over time and/or frequency. A statistical background is necessary to quickly learn the analysis methods.
Practical Time Series Analysis
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 8h8m total length
Introduction to Time Series
Understanding Time-series data
Exponential Smoothing based Methods
Auto-regressive models
Deep learning in time-series forecasting
Appendix
Related Resources
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