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Time Series Analysis

Master the fundamentals of Time Series Analysis and forecasting with this comprehensive course. Learn key techniques, statistical methods, and machine learning models to analyze time-dependent data and make accurate predictions for business, finance, and more.

Satyajit Pattnaik

Expert in Generative AI, ML, NLP & Data Engineering

Here’s what you will learn?

  • Understand Time Series Concepts
  • Preprocess Time Series Data
  • Implement Forecasting Models
  • Leverage Machine Learning for Time Series

This Course Includes

  • Recorded Lessons:  60
  • Recorded Hours:  7hr 40min
  • Certificate of completion
  • Access on Mobile

Course Description

Unlock the power of Time Series Analysis with this in-depth course designed for beginners and professionals alike. You will learn essential concepts such as trend analysis, seasonality, moving averages, ARIMA models, exponential smoothing, and machine learning techniques for forecasting.

This course provides hands-on experience with real-world datasets, guiding you through data preprocessing, visualization, model selection, and performance evaluation to build accurate predictive models. Whether you work in finance, economics, sales forecasting, stock market prediction, or weather analysis, this course will equip you with the skills needed to leverage time series data effectively.

Course Content

60 Lessons | 7hr 40min

About the instructor
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Satyajit Pattnaik

Expert in Generative AI, ML, NLP & Data Engineering

Satyajit Pattnaik has 13+ years of experience in AI, Data Analytics, and Data Science across industries such as telecom, cybersecurity, insurance, and e-commerce. With over a decade of training and teaching experience, he has conducted numerous sessions on Data Science, ML, and AI. He has also been a keynote speaker at international conferences and universities across the APAC region.

Frequently Asked Questions

This course is ideal for data analysts, statisticians, business professionals, and anyone interested in understanding and analyzing time-dependent data for trend analysis, forecasting, and decision-making.

Basics of Time Series Data, Decomposition of Time Series (Trend, Seasonality), Time Series Components, Autocorrelation and Autoregression, Stationarity and Differencing, Time Series Forecasting Methods (ARIMA)

Basic knowledge of statistics and data analysis will be helpful but not mandatory. The course starts with foundational concepts, making it accessible to beginners.

Yes, the course will teach you how to apply various forecasting models (including ARIMA and others) to predict future values based on historical time series data.

The duration of the course depends on the level of detail and pace
Time Series Analysis
(4.6)
7hr 40min
₹999 ₹1499
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