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Time Series Mastery: Forecasting with ETS, ARIMA, Python
Coursera Instructor Network

Time Series Mastery: Forecasting with ETS, ARIMA, Python

Diogo Resende
Starweaver

Instructors: Diogo Resende

Access provided by institute of Chartered Accountants of Pakistan

2,189 already enrolled

4.0

(40 reviews)

Beginner level

Recommended experience

Flexible schedule
Learn at your own pace
4.0

(40 reviews)

Beginner level

Recommended experience

Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

Details to know

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Taught in English

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This course is part of the Modern Data Analytics with Python, Excel & Generative AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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Learner reviews

4.0

40 reviews

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KK
5

Reviewed on Oct 16, 2024

NE
4

Reviewed on Jun 12, 2024

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