About this Course

Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Basic understanding of Python, Pandas, and Numpy.

Approx. 9 hours to complete
English

What you will learn

  • B​uilding ARIMA models in Python to make demand predictions

  • D​eveloping the framework for more advanced neural netowrks (such as LSTMs) by understanding autocorrelation and autoregressive models.

Skills you will gain

Machine LearningPython ProgrammingAutoregressive Integrated Moving Average (ARIMA)Time SeriesDemand Forecasting
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Basic understanding of Python, Pandas, and Numpy.

Approx. 9 hours to complete
English

Offered by

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LearnQuest

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

A First Glance at Time Series

2 hours to complete
7 videos (Total 29 min), 3 readings, 2 quizzes
2 hours to complete

Independence and Autocorrelation

2 hours to complete
8 videos (Total 36 min), 2 readings, 2 quizzes
Week
2

Week 2

3 hours to complete

Regression and ARIMA Models

3 hours to complete
4 videos (Total 18 min), 1 reading, 2 quizzes
3 hours to complete

Final Project

3 hours to complete

About the Machine Learning for Supply Chains Specialization

Machine Learning for Supply Chains

Frequently Asked Questions

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