Data Science & BI
Time Series Analysis & Forecasting
Master techniques to analyze time-dependent data and forecast future trends.
4 Days
₹19,999
Course Overview
From predicting stock prices and inventory demand to analyzing server metrics, Time Series Analysis is critical across industries. This course covers the statistical and machine learning methods required to analyze temporal data.
You will learn how to handle seasonality and trends, build classic ARIMA models, leverage Facebook's Prophet library, and even apply Deep Learning (LSTMs) for complex forecasting tasks.
Course Curriculum
- 1Introduction to Time Series Data
- 2Smoothing Techniques and Decomposition
- 3Statistical Models (ARIMA, SARIMA)
- 4Facebook Prophet for Forecasting
- 5Deep Learning for Time Series (LSTMs)
Who Should Attend
Data Scientists, Financial Analysts, Demand Planners
Key Information
Prerequisites:
Intermediate Python skills and a foundation in statistics and basic machine learning.
Exam Format:
Forecasting Challenge: Achieve the lowest RMSE on a hidden time-series dataset.
Key Benefits
- Predict market trends
- Master ARIMA & Prophet
- Deep dive into temporal data