- TypeTraining or Development Class
- Location Nairobi, Kenya
- Date 06-11-2017 - 17-11-2017
Education/Teaching/Training/Development
Research/Science
Administration/Management
Information Technology
OTHERS
Course: Data Management & Analyses for Surveys using Stata Course
Venue: Nairobi, Kenya
Event Date: 6th – 17th November 2017.
NITA CERTIFIED
INTRODUCTION
Stata is a complete statistical software package for data management, data analysis and graphics. It comprises classical and advanced functions including: panel data analysis, forecasting, time series analysis, survival analysis, cross sectional and longitudinal survey methods, structural equation modeling, simulation methods and tables for almost all researchers and analysts. The software can be used via a graphical user interface (menus and dialog boxes) or a command-line interface using its very intuitive programming language. Stata benefits from a very active user community giving support on a dedicated mailing list (Statalist) and developing new packages to extend the software capabilities.
DURATION
10 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 course is required.
LEARNING OBJECTIVES
By the end of the training, you will be able to:
TOPICS COVERED
Day 1: Introduction to Statistics, Data Collection, Processing and Stata
Day 2: Data Processing and Management with Stata
Day 3: Data Processing and Management with Stata
Day 4: Output management and tabulating data with Stata
Day 5: Basic Stata Graphics
Day 6: Statistical Inference
Day 7: Regression Analysis using Stata
Day: 8 Advanced analysis of complex survey data
Day: 9 Panel data analysis
Day: 10 Time series Analysis
HOW TO PARTICIPATE
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For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814, +254 731240802, +254 735331020.
Accommodation is arranged upon request. For reservations contact the Training Officer.