Processing and Analysis of Data for Surveys,Processing and Analysis of Data for Surveys Training,Methodology and Softwar,Methodology and Software Course

Processing and Analysis of Data for Surveys/Assessment (Methodology and Software) Course - Training or Development Class in Westlands, Nairobi, Kenya on March 2018 by Indepth Research Services Limited. Training courses, course.

Training or Development Class Information


Processing and Analysis of Data for Surveys/Assessment (Methodology and Software) Course


Processing and Analysis of Data for Surveys/Assessment (Methodology and Software) Course, Westlands, Nairobi, Kenya
Training or Development Class Title
Processing and Analysis of Data for Surveys/Assessment (Methodology and Software) Course
Event Type
Training or Development Class
Training or Development Class Date
26-03-2018 to 30-03-2018
Last Date for Applying
19-03-2018
Location
Westlands, Nairobi, Kenya

Publish / Maintain / Marketing / Hosted By
Organization Name / Organize By
Indepth Research Services Limited
Organizing/Related Departments
Research, Data Management and Statistical Analysis Institute
Organization Type
Organization
Training or Development Class Category
Technical
Training or Development Class Level
International
Related Industries

Education/Teaching/Training/Development

Fresher/Trainee/Professionals

OTHERS

Location
Westlands, Nairobi, Kenya

Event: Processing and Analysis of Data for Surveys/Assessment (Methodology and Software) Course

Venue: Indepth Research Services, Nairobi, Kenya.

Event Date: 26th – 30th March 2018

NITA CERTIFIED.

RECENT CLIENTS

INTRODUCTION

New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.

It is essential that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts.

How can organizations better manage the process of converting the potential of data science to real development outcomes? How can organizations go beyond merely generating new insights to changing behaviors — not only of their employees but beneficiary and communities too?

This five days hands-on course is tailored to put all these important considerations into perspective.
It is envisioned that upon completion, the participants will be empowered with the necessary skills to produce accurate and cost-effective data and reports that are useful and friendly for decision making.

DURATION

5 days

WHO SHOULD ATTEND?

This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling. No Prior attendance of a Stata/SPSS/R course is required. The training is designed for participants who are reasonably proficient in English.

LEARNING OBJECTIVES

  • Understand and appropriately use statistical terms and concepts
  • Design and Implement universally acceptable Surveys
  • Convert data into various formats using appropriate software
  • Perform simple to complex data manipulation using Ms Excel
  • Perform basic data analysis tasks with SPSS/Stata/R
  • Perform simple to complex data management tasks using SPSS/Stata/R
  • Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS/Stata or R as the participant choose
  • Use mobile data gathering tools such as Open Data Kit (ODK)
  • Use GIS software to plot and display data on basic maps
  • Use Google Doc and Google maps to collaborate and sharing information
  • Write reports from survey data
  • Put strategies to improve data demand and use in decision making

TOPICS TO BE COVERED

  • Basic statistical terms and concepts
  • Concepts and Software for Data Processing, management and GIS mapping
  • Introduction to Data management and analysis using Ms Excel
  • Quantitative Data Analysis using SPSS/Stata/R
  • Advanced Data Analysis, reporting, dissemination and use

Visit our website for more details.

How to participate

  • Tailor make your course.  
  • Register as an individual.
  • Register as a group.
  • Become one of our partners.
  • Purchase software’s
  • Frequently Asked Questions (FAQ’s)

View related courses

  • Data Processing and Management using CSPro Course
  • Advanced Data Processing and Management using Census and Survey Processing System (CSPro) Course
  • Using Participatory Action Research to Improve Development Practice Course
  • Data Management, Analysis and Graphics with R Course
  • Data Management, Analysis, and Graphics using Stata Course

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View course catalogue in Research Institute

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814.

Email outreach@indepthresearch.org

ACCOMMODATION

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

Email: outreach@indepthresearch.org.

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 19th March 2018.

Send proof of payment to outreach@indepthresearch.org

Others Details

TAILOR-MADE TRAINING 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.

Registration Fees
Available
Registration Fees Details
$1100
Registration Ways
Email
Phone
Website
Address/Venue
Indepth Research Services, Westlands, Nairobi, Kenya.  Pin/Zip Code : 00101
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Official Email ID
training@indepthresearch.co.ke
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