Master Time Series Analysis and Forecasting with Python 2026 — 90% Off Coupon

Time Series with Deep Learning (LSTM, TFT, N-BEATS), GenAI (Amazon Chronos), Prophet, Silverkite, ARIMA. Demand Forecast

4.6 11,361 students enrolledCreated by Diogo Alves de ResendeLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Master Time Series Analysis and Forecasting with Python 2026
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Diogo Alves de Resende
•Coupon Verified On: January 3, 2026
•Difficulty Level: Advanced
•Category: Business
•Subcategory: Time Series Analysis
•Duration: 36h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Understand the fundamental principles of time series data and its significance in forecasting across various industries. · Differentiate between various time series forecasting models such as Exponential Smoothing, ARIMA, and Prophet, identifying when to use each model. · Apply Exponential Smoothing and Holt-Winters methods to seasonal and trend-based time series data to create accurate forecasts.
•Prerequisites: Basic Statistics: Linear regression, p-value
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓Understand the fundamental principles of time series data and its significance in forecasting across various industries.
✓Differentiate between various time series forecasting models such as Exponential Smoothing, ARIMA, and Prophet, identifying when to use each model.
✓Apply Exponential Smoothing and Holt-Winters methods to seasonal and trend-based time series data to create accurate forecasts.
✓Implement SARIMA and SARIMAX models in Python, incorporating external variables to enhance the predictive power of your forecasts.
✓Develop time series models using advanced techniques such as Temporal Fusion Transformers (TFT) and N-BEATS to handle complex datasets.
✓Optimize forecasting models by tuning parameters and using ensemble methods to improve accuracy and reliability.
✓Evaluate the performance of different forecasting models using metrics such as MAE, RMSE, and MAPE, ensuring the robustness of your predictions.
✓Code Python scripts to automate the entire time series forecasting process, from data preprocessing to model deployment.
✓Implement deep learning models such as RNN and LSTM to accurately forecast complex time series data, capturing long-term dependencies.
✓Develop and optimize advanced forecasting solutions using Generative AI techniques like Amazon Chronos, incorporating state-of-the-art methods.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•Basic Statistics: Linear regression, p-value

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Diogo Alves de Resende. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Diogo Alves de Resende
•Field: Business
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Master Time Series Analysis and Forecasting with Python 2026 Coupon Worth It?

Master Time Series Analysis and Forecasting with Python 2026 is a business course offered on Udemy by instructor Diogo Alves de Resende, spanning 36h 30m of on-demand content. It holds a 4.6/5 rating from over 11,361 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on January 3, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.6/5) and enrollment numbers (11,361 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of January 2026. For individual student reviews, visit the course page directly.

4.6
11,361 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

Frequently Asked Questions

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