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Demand Forecasting Using Time Series 

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Demand Forecasting Using Time Series
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Coursera 
Overview

Duration

9 hours

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Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Demand Forecasting Using Time Series
 at 
Coursera 
Highlights

  • Reset deadlines in accordance to your schedule.
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Demand Forecasting Using Time Series
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals.
  • In this course, we explore all aspects of time series, especially for demand prediction.
  • We'll start by gaining a foothold in the basic concepts surrounding time series, including stationarity, trend (drift), cyclicality, and seasonality.
  • Then, we'll spend some time analyzing correlation methods in relation to time series (autocorrelation).
  • In the 2nd half of the course, we'll focus on methods for demand prediction using time series, such as autoregressive models.
  • Finally, we'll conclude with a project, predicting demand using ARIMA models in Python.

Demand Forecasting Using Time Series
 at 
Coursera 
Curriculum

A First Glance at Time Series

Course Introduction

Module Introduction

Introduction to Time Series

Datetime Objects in Python

Plotting with Pandas

Types of Time Series

Exploratory Analysis with Time Series

Machine Learning in Supply Chain

Time Series Patterns

Time Series Basics

Practice Quiz: Types of Time Series

Time Series Basics

Module Introduction

Correlation

Shifting Time Series

Introduction to Autocorrelation

Partial Autocorrelation Function (PACF)

PACF Math

Autocorrelation (I)

Autocorrelation (II)

Correlation

Autocorrelation Calculator

Practice Quiz: Autocorrelation and Stationarity

Correlation with Time Series

Regression and ARIMA Models

Module Introduction

Lagged Regression

Autoregressive Models

ARIMA Models

Lagged Regression

Practice Quiz: ARIMA Models

Demand Forecasting Using Time Series
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Demand Forecasting Using Time Series
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