E-Views Basics Course


Introduction

Provides participants with a comprehensive introduction to the EViews software, which is widely used for econometric analysis and forecasting. Throughout the course, participants will learn the fundamental concepts and techniques necessary to effectively utilize EViews for data analysis and modeling.

Duration

5 Days

Who Should Attend?

  • Researchers and analysts.
  • Policy analysts and policymakers.
  • Econometricians and statisticians.
  • Financial Analysts.
  • Students and Academics.

    Provides participants with a comprehensive introduction to the EViews software, which is widely used for econometric analysis and forecasting. Throughout the course, participants will learn the fundamental concepts and techniques necessary to effectively utilize EViews for data analysis and modeling.

    Duration

    5 Days

    Who Should Attend?

  • Researchers and analysts.
  • Policy analysts and policymakers.
  • Econometricians and statisticians.
  • Financial Analysts.
  • Students and Academics.

Course Objectives

  • Familiarize participants with the EViews software: The course introduces participants to the EViews interface, workspace, and various tools available within the software. Participants will become comfortable navigating through EViews and accessing its features.
  • Understand data management in EViews: Participants will learn how to import different types of data into EViews, manipulate and clean data, and organize datasets effectively. They will also explore data transformation techniques and handle missing data.
  • Learn essential statistical and econometric techniques: The course covers fundamental statistical concepts and econometric methods used in data analysis. Participants will gain knowledge about descriptive statistics, hypothesis testing, regression analysis, time series analysis, and panel data analysis.
  • Build and estimate econometric models: Participants will learn how to construct and estimate econometric models using EViews. They will understand the steps involved in model specification, estimation, and evaluation. The course covers various regression models, such as ordinary least squares (OLS), generalized least squares (GLS), and instrumental variable (IV) regression.
  • Perform diagnostic tests and interpret results: Participants will acquire skills in conducting diagnostic tests to assess the validity and reliability of their econometric models. They will learn how to interpret the results of these tests and make informed decisions based on the diagnostic outcomes.
  • Develop forecasting models: The course provides participants with the knowledge and tools to build forecasting models using EViews. They will learn different forecasting techniques and evaluate the accuracy of their forecasts.
  • Generate informative graphs and reports: Participants will explore the graphical capabilities of EViews to create visually appealing and informative graphs. They will also learn how to generate reports and export results for further analysis or presentation.

Course outline

Module 1: Introduction to E-views

  • Overview of EViews interface and workspace
  • Data management and import/export capabilities
  • Basic commands and operations in EViews

Module 2:Data handling and manipulation

  • Importing and managing different types of data (e.g., time series, cross-sectional)
  • Data cleaning, transformation, and aggregation
  • Handling missing data and outliers

Module 3:Exploratory data analysis

  • Descriptive statistics and graphical analysis
  • Time series decomposition and visualization
  • Correlation and covariance analysis

Module 4:Econometric modeling

  • Introduction to Regression Analysis in EViews
  • Model specification and estimation
  • Hypothesis testing and model diagnostics

Module 5:Time series analysis

  • Autocorrelation and stationarity analysis
  • ARMA and ARIMA modeling
  • Forecasting techniques

Module 6:Panel data analysis

  • Panel data modeling and estimation
  • Fixed effects and random effects models
  • Panel data diagnostics and testing

Enroll for this Course

We are proud to offer this course in a variety of training formats to suit your needs.

IRES

Enroll for a Face-to-Face (In-Person) Class

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IRES

Enroll for a Virtual (Zoom) Class

Join a scheduled class with a live instructor and other delegates.

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IRES

Enroll for an Online Self-Paced Class

Keep track of your own progression throughout your course and ensure continuous improvement.

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Benefits of Taking a Course at IRES

LEARN

Our courses are carefully curated to keep you abreast of latest industry trends, technological advancements, and best practices. We employ a variety of teaching methodologies, including hands-on workshops, case studies, and interactive sessions, all aimed at fostering an engaging and effective learning environment. Our expert instructors bring a wealth of knowledge and real-world experience, providing our clients with insights that can be immediately applied in their professional lives.

NETWORK

Our courses serve as a vibrant platform for professionals to connect and engage with a diverse community of peers, industry leaders, and experts. By participating in our programs, you gain access to an invaluable network that spans across various sectors and geographical boundaries. This networking aspect is not just about forming professional relationships; it's about creating a supportive ecosystem where ideas, opportunities, and collaborations can flourish.

GROW

Our courses are designed to challenge and inspire professionals to step out of their comfort zones and explore new horizons. Through a combination of theoretical knowledge and practical application, our programs help professionals refine their existing skills and acquire new ones, making them more versatile and competitive.

FAQs & Course Administration Details:

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on Phone: +254 715 077 817 or Email: [email protected].
The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Payment should be transferred to IRES account through bank on or before start of the course. Send proof of payment to [email protected].
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer. Email: [email protected] Phone: +254 715 077 817.