Email: info@datastatresearch.org
Telephone: +254724527104


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

INTRODUCTION

Advanced technologies in the field of data science are creating a great opportunity for the improvement of decision-making. The number of data gathering initiatives in the developing world is on the rise with the use of such methods such as baseline surveys, Socio- Food Security Surveys, Economic Surveys, Nutrition Surveys Demographic and Health Surveys, Employees surveys, Program Evaluation Surveys, customers and vendor satisfaction surveys, and opinion polls being the most used.  It is essential to involve and enhance individual human judgement in actual development concepts rather than just merely generating new insights from data. 

 

This course takes this into consideration by empowering participants with the necessary skills for the production of accurate and cost-effective data that is useful and responsive for decision-making.

 

 The training targets participants with basic knowledge of statistics from the fields of Economics Agriculture, Economics, Nutrition, Food Security and Livelihoods, Education, and Medical or public health, who intend to be conversant with the applications and concepts of statistical modeling. It is required that the participants have a basic knowledge of English.

DURATION

5 days

 

COURSE OUTCOMES

• Converting data into various formats by te use of appropriate software

• Correctly identifying appropriate statistical test for basic analysis and performing them by the use of SPSS/Stata or R 

• Perform simple to complex data management using SPSS/Stata/R

• Design and Implement universally acceptable Surveys

• Performing basic data analysis tasks using SPSS/Stata/R

• Performing simple-to-complex data manipulation using Ms Excel

• Using Google Doc and Google maps in the collabration and sharing of information

• Put strategies to improve data demand and use in decision making

• Using GIS software in plotting and displaying data on basic maps

• Write reports from survey data

• Understanding and appropriately using statistical terms and concepts

• Use mobile data gathering intruments such as Open Data Kit (ODK)

TOPICS COVERED

Day One: Basic statistical terms and concepts

• Introduction to statistical concepts and GIS for Researchers

• Research Design

• Sources of Data for Social Statistics

• Plannign, implementing and completing surveys 

Day 2: Concepts and Software for GIS mapping, Data Processing, and management

• Data collections methods 

• GIS mapping for Survey data

• Use of Mobile Phones for collecting and processing (ODK)

Day 3: Introduction to Data management and analysis using Ms Excel

• Exploration of survey data using Excel

• Limitation of Excel

• Tabulating and graphing survey data using Excel

Day 4: Quantitative Data Analysis using SPSS/Stata/R 

• Survey data management 

• Graphing survey data 

• Introducing Advanced Statistical software (SPSS, Stata and R)

Day 5: Advanced Data Analysis, reporting, dissemination and use

• Introduction to panel data analysis(SPSS/Stata/R)

• Regression analysis (SPSS/Stata/R)

• Report writing for surveys, data dissemination, demand and use

• Statistical Inference (SPSS/Stata/R)

 

Course Schedule

No Start Date End Date Action
1. 02/09/2019 06/09/2019 Register
2. 16/09/2019 20/09/2019 Register
3. 30/09/2019 04/10/2019 Register
4. 14/10/2019 18/10/2019 Register
5. 28/10/2019 01/11/2019 Register
6. 11/11/2019 15/11/2019 Register
7. 25/11/2019 29/11/2019 Register
8. 09/12/2019 13/12/2019 Register
9. 13/01/2020 17/01/2020 Register
10. 27/01/2020 31/01/2020 Register
11. 10/02/2020 14/02/2020 Register
12. 24/02/2020 28/02/2020 Register
13. 09/03/2020 13/03/2020 Register
14. 23/03/2020 27/03/2020 Register
15. 06/04/2020 10/04/2020 Register
16. 20/04/2020 24/04/2020 Register

Contact Us

Mobile No: +254724527104/ +254734969612

Email Add: info@datastatreseach.org

Postal Add: 5402-00100

Head Office: Comet House 1st floor room 12A, Along Monrovia Street, Nairobi, Kenya