Practical Time Series Analysis

Discover how to unlock the secrets of time-series data with "Practical Time Series Analysis". With a focus on hands-on learning, this book takes you on a journey through time series data processing, visualization, and modeling. Gain the technical expertise and confidence to tackle real-world datasets using Python.

What this Book will help me do

• Understand the fundamental principles of time series analysis and their application to real-world datasets.
• Learn to utilize Python for data preparation, visualization, and processing in the context of time series.
• Master the techniques of evaluating and addressing common challenges such as non-stationarity and autocorrelation.
• Apply statistical methods and machine learning models, including ARIMA and deep learning approaches, to forecasting tasks.
• Develop practical skills to implement and deploy end-to-end predictive models for time series data analysis.

Author(s)

PKS Prakash and Avishek Pal bring decades of combined experience in data science and analytics. Their meticulous approach toward simplifying complex concepts makes learning time series approachable and engaging. Drawing from their professional expertise, they incorporate extensive examples to merge theory with practice.

Who is it for?

This book is ideal for data scientists and engineers keen on enhancing their abilities to analyze temporal data. Prior knowledge in Python and basic statistics will help you gain the most from this book. Whether advancing your career or solving practical problems, you'll find invaluable insights here.