Data Analysis with STATA 22nd - 24th Feb, Kigali

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

3 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

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 350$ , Exclusive of a 18% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.

Event Details

Event Date	22-02-2018 8:30 am
Event End Date	24-02-2018 4:00 pm
Cut off date	16-02-2018
Individual Price	350$ Per Delegate
Location	BCP Training Facilities, Kicukiro, Kigali

How to register:

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

Contact Details:
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 : outreach@opencastlabs-africa.com

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: outreach@opencastlabs-africa.com

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