Time Series Analysis and Forecasting for Beginners to Advanced

Automation is the key to becoming more efficient in industrial processes or corporate business metrics. The key to automating a process involves an in-depth understanding of time series data across different verticals. Time-series data analysis helps find issues in the system and forecast the values to prepare for the future. Time series forecasting is used in many domains like weather forecasting, stock market, energy demand, retail etc. In this course, we will learn about time series data and its characteristics. We will learn about some baseline methods and deep learning techniques to predict time series data.

Outline

1. Introduction to Time Series Data
2. Time-Series Characteristics
3. Time Series Forecasting Using Baseline Methods
4. Time Series Forecasting with Deep Learning Algorithms
5. Tools for Time Series Data Generation, Analysis and Forecasting
6. Applications of Time Series Forecasting

Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.