Time Series Forecasting with ETS and ARIMA
Master time series analysis using Python. Learn ETS, ARIMA modeling, and advanced forecasting techniques for data-driven predictions.
Master time series analysis using Python. Learn ETS, ARIMA modeling, and advanced forecasting techniques for data-driven predictions.
This comprehensive course introduces time series analysis and forecasting techniques using Python. Students learn essential methods including Error-Trend-Seasonality (ETS) and ARIMA models for accurate predictions. The curriculum covers practical applications in Python, from data preprocessing to model evaluation, making it ideal for business analysts and data scientists seeking to enhance their forecasting capabilities.
3.5
(17 ratings)
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What you'll learn
Apply widely used techniques including Exponential Smoothing (ETS) and ARIMA
Analyze real-world data to identify patterns and make accurate predictions
Create advanced forecasting models using Python
Implement seasonal decomposition and evaluation methods
Master SARIMA and SARIMAX modeling techniques
Develop practical skills in time series data analysis
Skills you'll gain
This course includes:
70 Minutes PreRecorded video
1 assignment
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FullTime access
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There is 1 module in this course
This course provides a comprehensive introduction to time series analysis and forecasting using Python. The curriculum covers fundamental concepts and advanced techniques, including Error-Trend-Seasonality (ETS), ARIMA, SARIMA, and SARIMAX models. Students learn to analyze real-world data, implement forecasting models, and evaluate their performance. The course emphasizes practical applications through Python programming, featuring hands-on examples and case studies from various industries.
Time Series Mastery: Forecasting with ETS, ARIMA, Python
Module 1 · 2 Hours to complete
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Instructor
Analytics Expert Bridges Corporate Experience with Global Educational Impact
Diogo Resende is a distinguished data analytics and business intelligence professional who combines academic excellence with extensive industry experience. Armed with a Master's Degree in Management from ESMT Berlin, he has made significant contributions at Zalando Germany as a Senior Commercial Planning and Strategy Manager, where he was responsible for strategic planning of €4 billion in revenue. His expertise spans from corporate strategy to humanitarian efforts, notably working with the United Nations Development Program to enhance financial inclusion through mobile money initiatives in Ethiopia and Lesotho. As an educator, Resende has developed comprehensive courses in Business Analytics and Statistics on multiple platforms, including Zero To Mastery Academy, where he specializes in teaching practical applications of data mining, machine learning, and business analytics. His teaching methodology emphasizes real-world applications, combining theoretical knowledge with practical insights to help professionals master data analytics techniques and drive business decisions
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3.5 course rating
17 ratings
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