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Data Management, Analysis, and Graphics using STATA in Nairobi, Kenya

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Short Course by OCL AFRICA INSTITUTE LIMITED

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On-Site / Short Course

USD 750.00

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RESPONSE RATE

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Outline
About the Provider

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Details

Introduction

Become intimately familiar with all three components of Stata: data management, analysis, and graphics. This course is for researchers and other professionals who want to strengthen their capacity using this statistical data analysis software. Upon completion of the course, you will be able to use Stata efficiently for analyses and graphics. You will be able to do this in a reproducible manner, making collaborative changes and follow-up analyses much simpler.

Target Participants

This is a general course targeting participants with elementary knowledge of Statistics in 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 Stata. No prior Knowledge of Stata is required

Course duration

5 Days

Course objectives

Enable trainee to apply key statistiscal concepts
Empower trainees with key analytic STATA skills
Perform simple to complex data management tasks using Stata software
Perform most applicable statistical tests using Stata
Understand STATA graphing
Manage analysis outputs
Collaborating mobile data collection with STATA

How to register:
To register, send an email to: [email protected] You can also visit our website on www.opencastlabs-africa.com and fill an online application form and submit to us.

February 10th - 14th 2020
Register Online: https://cutt.ly/XrQhhIY

View Related Courses: http://opencastlabs-africa.com/data-collection-and-analysis/

Contact Details:

Rwanda:

P.O Box 4543 Kigali

3rd Floor La Bonne Address House

Avenue de la Revolution

Tel: Kigali +250 788 470 532

The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 – 00100 , Nairobi, Kenya
Tel: +254 0204409651 Mobile: +254 723870644
Email : [email protected]

Language

Participants should be reasonably proficient in English.

Fee Exceptions

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

Accommodation

Accommodation is arranged upon request. For reservations contact us below.

Email: [email protected]

Payment:

Payment should be transferred through bank 5 days before commencement of training.

Cancellation policy

All requests for cancellations must be received in writing.
Changes will become effective on the date of written confirmation being received.
The appropriate cancellation charge will apply

Outline

Course Contents

Introduction to Statistical concepts and general analytics

Research design
Samples and populations

Comparison of experimental and non-experimental designs
Exploring variable types

Familiarizing with the application

Datasets
Commands
Working with variables in Stata
Basic analysis using Stata

Charting and Graphical presentation using Stata

Classifying different charts and processing them using STATA
Understanding the Graph command syntax
Graphs for categorical Vs Numeric variables
Managing chart output in STATA
Multivariate charting

Statistical Tests using Stata

One Sample T Test
Independent Samples T Test
Paired Samples T Test
One-Way ANOVA

Measures of Associations in Stata

Chi-Square test
Pearson’s Correlation
Spearman’s Rank-Order Correlation

Predictive Models using Stata

Linear Regression
Multiple Regression
Logistic Regression
Ordinal Regression

Panel Data Analysis using Stata

Exploration of panel data
Fixed effects model/LSDV
Random effects model
Choosing the appropriate model

Time Series Analysis using Stata

Introduction to time series analysis using Stata
Plotting a time series
Seasonal differences
Auto correlations
Forecast models in Stata

Econometric Analysis

Econometric Analysis of cross-sectional data
Econometric Analysis of panel data
Econometric Analysis of time-series data

The 5 day course costs 750$ (75,000 KES), Exclusive of a 16% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.

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Statistics and Data Science