[ONLINE DELIVERED] Discrete Choice modeling through theory and practice

Online offer of  Discrete Choice modeling through theory and practice  course

FineResults Research Services is pleased to announce the offer Discrete Choice modeling through theory and practice course as a scheduled virtual class through its seasoned industry experts.

This will not only provides you with an opportunity to train from any location worldwide (including the comfort of your home) but also flexibility in course timings.

Enroll today and enjoy a 10% discount!

COURSE PROFILE

Course Name: Discrete Choice modeling through theory and practice 

Date: 1st-12th June, 2020.

Course fee: USD 720 or KES 58,500

Registration: Register Here

Course Outline: Click to view

COURSE INFORMATION

INTRODUCTION

Human life is full of choices to select from on daily basis. Hence, discrete choice models analyses individual choice behavior and solves problems in many fields such as agriculture, economics, accounting, health, engineering, environmental management, urban planning, tourism and transportation among other fields. For example, discrete choice modeling is used in agriculture to inform on the best technology or innovation that are beneficial to farmers. In terms of health, discrete choice modeling informs on the preference of health and healthcare. In market research, discrete choice modeling can guide product positioning, pricing, product concept testing. This 10 days course will equip participants with skills on how to use databases to estimate and test discrete choice models as well as gain hands-on experience in using discrete choice techniques for practical applications.

DURATION

10 Days

COURSE OBJECTIVES

By the end of training, participants will be able to:

· Understanding discrete choice models and their applications.

· Choose between a range of different models used for predicting mulitinomial choices.

· Identify the advantages and disadvantages of the different econometric models. - use the different models in practise and interpret the outcome.

· Understanding problems of data collection, model formulation, estimation, testing, and forecasting, as learned through case studies of discrete choice methods.

· Utilizing Stata or R software to estimate and test discrete choice models from real databases.

For more information, talk to us:

Email: [email protected]

Phone: +254 732 776 700 / +254 759 285 295