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Univariate Time Series Modeling and Analysis with EViews

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Univariate Time Series Modeling and Analysis with EViews, available at $19.99, has an average rating of 4.75, with 12 lectures, based on 2 reviews, and has 4983 subscribers.

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You will learn about Univariate Time Series Modeling: Students will learn the fundamentals of univariate time series modeling, including techniques for analyzing and interpreting Correlogram Analysis: They will understand and implement correlogram analysis to identify autocorrelation and seasonal patterns in time series data. Interpretation of ARMA Model: Students will delve into the interpretation of the AutoRegressive Moving Average (ARMA) model, gaining insights into components Estimation Output Analysis: They will learn how to interpret estimation output from time series models, including parameters such as coefficients Application in EViews: Through practical examples and exercises, students will apply these techniques using EViews software, a powerful tool for time series Forecasting: Students will explore forecasting methods and strategies to predict future values of time series data based on historical patterns. Real-world Applications: The course will cover real-world applications and case studies to demonstrate the practical relevance of time series analysis This course is ideal for individuals who are The course is designed for individuals interested in mastering time series analysis techniques using EViews software. It caters to students, researchers, analysts, and professionals in fields such as economics, finance, business, environmental science, and data analytics who seek to enhance their skills in time series modeling and forecasting. Whether you're a beginner looking to understand the basics or an experienced practitioner aiming to refine your knowledge and application of time series methods, this course offers valuable insights and practical tools to meet your learning objectives. It is particularly useful for The course is designed for individuals interested in mastering time series analysis techniques using EViews software. It caters to students, researchers, analysts, and professionals in fields such as economics, finance, business, environmental science, and data analytics who seek to enhance their skills in time series modeling and forecasting. Whether you're a beginner looking to understand the basics or an experienced practitioner aiming to refine your knowledge and application of time series methods, this course offers valuable insights and practical tools to meet your learning objectives.

Enroll now: Univariate Time Series Modeling and Analysis with EViews

Summary

Title: Univariate Time Series Modeling and Analysis with EViews

Price: $19.99

Average Rating: 4.75

Number of Lectures: 12

Number of Published Lectures: 12

Number of Curriculum Items: 12

Number of Published Curriculum Objects: 12

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

  • Univariate Time Series Modeling: Students will learn the fundamentals of univariate time series modeling, including techniques for analyzing and interpreting
  • Correlogram Analysis: They will understand and implement correlogram analysis to identify autocorrelation and seasonal patterns in time series data.
  • Interpretation of ARMA Model: Students will delve into the interpretation of the AutoRegressive Moving Average (ARMA) model, gaining insights into components
  • Estimation Output Analysis: They will learn how to interpret estimation output from time series models, including parameters such as coefficients
  • Application in EViews: Through practical examples and exercises, students will apply these techniques using EViews software, a powerful tool for time series
  • Forecasting: Students will explore forecasting methods and strategies to predict future values of time series data based on historical patterns.
  • Real-world Applications: The course will cover real-world applications and case studies to demonstrate the practical relevance of time series analysis

Who Should Attend

  • The course is designed for individuals interested in mastering time series analysis techniques using EViews software. It caters to students, researchers, analysts, and professionals in fields such as economics, finance, business, environmental science, and data analytics who seek to enhance their skills in time series modeling and forecasting. Whether you're a beginner looking to understand the basics or an experienced practitioner aiming to refine your knowledge and application of time series methods, this course offers valuable insights and practical tools to meet your learning objectives.

Target Audiences

  • The course is designed for individuals interested in mastering time series analysis techniques using EViews software. It caters to students, researchers, analysts, and professionals in fields such as economics, finance, business, environmental science, and data analytics who seek to enhance their skills in time series modeling and forecasting. Whether you're a beginner looking to understand the basics or an experienced practitioner aiming to refine your knowledge and application of time series methods, this course offers valuable insights and practical tools to meet your learning objectives.

Welcome to the course on Univariate Time Series Modeling! In this comprehensive program, you’ll delve into the fascinating world of time series analysis, a crucial domain for understanding and forecasting time-dependent data patterns. Throughout this course, you’ll gain valuable insights into various techniques and methodologies used in modeling and interpreting time series data.

We’ll start by laying the groundwork with an introduction to Univariate Time Series Modeling in Lecture 1. You’ll understand the importance of time series analysis and its applications across different fields. Lecture 2 will provide a hands-on example to illustrate how Univariate Time Series Modeling is applied in real-world scenarios.

Section 1: Introduction

In this section, students will be introduced to the fundamentals of Univariate Time Series Modeling. Lecture 1 provides an overview of the concept, highlighting its significance in analyzing time-dependent data. Lecture 2 offers a practical example to illustrate the application of Univariate Time Series Modeling in real-world scenarios. Lecture 3 delves deeper into the analysis by exploring Correlogram, a key tool for understanding the autocorrelation structure of time series data.

Section 2: Correlogram Analysis

This section focuses on Correlogram Analysis, a crucial technique for examining the autocorrelation function of time series data. Lectures 4 and 5 provide comprehensive insights into Correlogram Analysis, covering its implementation and interpretation. Lecture 6 further expands on the topic by analyzing the estimation output and interpreting the results obtained from Correlogram Analysis.

Section 3: Interpretation of the ARMA Model

In Section 3, students will delve into the interpretation of the Autoregressive Moving Average (ARMA) model. Lecture 7 introduces the ARMA model and its components, while Lecture 8 continues the discussion by providing in-depth insights into interpreting the ARMA model parameters and outcomes.

Section 4: Correlogram, Estimation of Output, and ARMA Model

This section combines various concepts covered in the previous sections to provide a holistic understanding of time series modeling. Lecture 9 focuses on Correlogram and Estimation of Output Model, demonstrating how these techniques are applied in practice. Lecture 10 delves into the estimation of the ARMA model, discussing its implementation and interpretation. Lecture 11 further explores the intricacies of the ARMA model, while Lecture 12 integrates Correlogram and Estimation Output for the ARMA model, offering practical examples and insights into their combined application.

By the end of this course, you’ll have a solid foundation in Univariate Time Series Modeling and the skills to analyze, interpret, and model time series data effectively. Get ready to embark on an exciting journey into the realm of time series analysis!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Univariate Time Series Modelling

Lecture 2: Example of Univariate Time Series Modelling

Lecture 3: Understanding and Implementing Correlogram

Chapter 2: Correlogram Analysis

Lecture 1: Correlogram Analysis

Lecture 2: Correlogram Analysis Continues

Lecture 3: Estimation Output Analysis and Interpretation

Chapter 3: Interpretation of the ARMA Model

Lecture 1: Interpretation of the ARMA Model

Lecture 2: Interpretation of the ARMA Model Continues

Chapter 4: Correlogram, Estimation of Output and ARMA Model

Lecture 1: Correlogram Estimation of Output Model

Lecture 2: Correlogram Estimation of ARMA Model

Lecture 3: More on ARMA Model

Lecture 4: Correlogram and Estimation Output for ARMA Model

Instructors

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Frequently Asked Questions


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You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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