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Introduction to E-Views

INTRODUCTION

EViews is one of the most popular econometric packages around. As well as containing a host of up to date econometric features, it is incredibly easy to use.EViews provides sophisticated data analysis, regression, and forecasting tools on Windows-based computers. With EViews you can quickly develop a statistical relation from your data and then use the relation to forecast future values of the data.EViews provides convenient visual ways to enter data series from the keyboard or from files, to create new series from existing ones, to display and print series, and to carry out statistical analysis of the relationships among series.

DURATION

2 days.

WHO SHOULD ATTEND

Areas where EViews has proven to be useful include: scientific data analysis and evaluation, financial analysis, macroeconomic forecasting, simulation, sales forecasting, and cost analysis.

TOPICS TO BE COVERED

  • Creating a work file
  • The E-Views window
  • Managing Add-ins
  • Saving the work
  • Help menus
  • The command line
  • Importing data into E-views
  • Creating variables
  • Descriptive statistics and tests
  • Tabulating data
  • Correlogram
  • Series adjustments
  • Key mathematical and statistical functions (probability distributions, density functions, absolute values and logarithms)
  • Generating graphs
  • Exporting E-views graphs
  • Changing the sample period
  • Creating a time dummy
  • Taking differences
  • Familiarizing with the Command window and Quick menu
  • Running a regression
  • Creating a work file
  • The E-Views window
  • Managing Add-ins
  • Saving the work
  • Help menus
  • The command line
  • Importing data into E-views
  • Creating variables
  • Descriptive statistics and tests
  • Tabulating data
  • Correlogram
  • Series adjustments
  • Key mathematical and statistical functions (probability distributions, density functions, absolute values and logarithms)
  • Generating graphs
  • Exporting E-views graphs
  • Changing the sample period
  • Creating a time dummy
  • Taking differences
  • Familiarizing with the Command window and Quick menu
  • Running a regression

TAILOR- MADE

This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on 

Tel: +254 (020) 211 3814.

Mob: +254 715 077 817, +254 731 240 802, +254 735 331 020.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it..

REQUIREMENTS

Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprises 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.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.

TRAINING VENUE

The training is residential and will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it..

Mob: +254 715 077 817

Tel: 020 211 3814

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B 13th May 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it..

CANCELLATION POLICY

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

  1. Participants may cancel attendance 14 days or more prior to the training commencement date.
  2. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 5 Days
Event Date 20-05-2019
Event End Date 24-05-2019
Cut off date 13-05-2019
Individual Price(Kenyan) KES 69,000
Individual Price (International) EUR 790
Individual Price(International in Dollars) USD 920
Location Nairobi, Kenya
We are no longer accepting registration for this event
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