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  3. Time Series Mastery - Forecasting with ETS, ARIMA, Python

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.

Diogo Resende
Diogo Resende
Business | core | 1 hour 15 minutes |   Published: Jul 2024
In partnership with: Coursera

    Discussions

Overview

1KSTUDENTS*
94.9%RECOMMEND*

This course includes:

  • 75 minutes of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 
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

Advanced Forecasting
ARIMA
ETS
Forecasting Techniques
Time Series Analysis

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

Instructors

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1 Module 1 - Introduction to Time Series Analysis and ETS
2Module 2 - ARIMA
3Module 3 - Advanced Forecasting with SARIMA and SARIMAX

Segment 01 - Introduction to the Course: The Adventure Begins

Segment 02 - What is Time Series Data

Segment 03 - Python Becoming one with the data 

Segment 04 - ETS and Seasonal Decomposition 

Segment 05 - Python ETS and Seasonal Decomposition 

Diogo Resende

Diogo Resende

With a profound commitment to bridging analytical acumen with practical business solutions, Diogo brings a wealth of experience from both the corporate arena and academia. Holding a Master’s Degree in Management from ESMT Berlin, his academic journey delved deeply into analytics, culminating in a thesis that addressed the complex challenge of mitigating demand and supply disparities exacerbated by weather conditions.

Complementing his academic achievements, Diogo actively contributed to real-world initiatives, including supporting the United Nations Development Program in enhancing financial inclusion through mobile money in Ethiopia and Lesotho. This blend of theoretical rigor and hands-on engagement defines his teaching approach—one that equips learners not only with conceptual understanding but also with actionable insights derived from diverse global contexts.

Diogo’s academic foundation is further enriched by a robust professional background. As a Senior Commercial Planning and Strategy Manager at Zalando Germany, he led key initiatives aimed at driving commercial performance, working closely with cross-functional teams to execute strategic plans. His influence extends beyond traditional business settings into the digital learning space, where he has created six highly acclaimed Business Analytics courses on platforms like Udemy. With over 4,000 students enrolled and each course earning bestseller status, his dedication to knowledge-sharing continues to impact learners around the world.

Outside of his corporate and academic contributions, Diogo has pursued a wide range of impactful roles—from serving as a Pro Bono Consultant for the Lesotho Scaling Inclusion through Mobile Money platform to working as an Editor and Marketing Associate at Rádio Universidade de Coimbra. Whether developing sustainable business plans or anchoring news segments, his multifaceted journey reflects a consistent passion for innovation, collaboration, and positive change.

As he steps into his role as an educator, Diogo is committed to not only imparting knowledge but also cultivating a vibrant, inquisitive community of learners united by a shared pursuit of transformative insight.

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Segment 11 - SARIMA 

Segment 12 - Python SARIMA 

Segment 13 - SARIMAX

Segment 14 - Python SARIMAX

Segment 15 - Python Predicting the future

Segment 16 - Congratulations and Continuous Learning Journey

Segment 06 - Evaluating Time Series ForecastingModels

Segment 07 - Python Training and Test

Segment 08 - What is ARIMA

Segment 09 - Python ARIMA

Segment 10 - Python Evaluating Time Series Models