Time Series Mastery - Forecasting with ETS, ARIMA, Python
This course, Time Series Mastery: Unravelling Patterns with ETS, ARIMA, and Advanced Forecasting Techniques, provides a comprehensive introduction to time series analysis and forecasting.
Course Overview
In today's data-driven world, the ability to accurately forecast and predict future trends is crucial for businesses to stay ahead of the competition. Time series analysis is a powerful tool that allows organizations to unravel patterns and make informed decisions. This course, Time Series Mastery: Unravelling Patterns with ETS, ARIMA, and Advanced Forecasting Techniques, provides a comprehensive introduction to time series analysis and forecasting. You will learn about the most widely used techniques, including Error-Trend-Seasonality (ETS), Autoregressive Integrated Moving Average (ARIMA), and advanced forecasting methods. By the end of this course, you will have the skills and knowledge to apply these techniques to real-world data and make accurate predictions.
Skills You Will Gain
Course Includes
This course includes:
- 75 minutes of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
Learning Outcomes (At the end of this program, you will be able to...)
- Apply the most widely used techniques, including Exponential Smoothing (ETS) and Autoregressive Integrated Moving Average (ARIMA).
- Analyze real-world data to identify patterns and make accurate predictions.
- Create advanced forecasting models using Python.
Prerequisites
Basic understanding of statistics and data analysis. Familiarity with Python is also helpful.
Who Should Attend
Business Analysts, Data Scientists, Financial Analysts, and Market Researchers.
Curriculum
Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.
Meet Your Expert Instructors
Diogo Resende
VIEW MY CHANNELFrequently Asked Questions
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Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
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