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
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.
Event
Details
|
Event Date
|
22-10-2018 8:30 am
|
|
Event End Date
|
26-10-2018 4:00 pm
|
|
Cut off date
|
17-10-2018
|
|
Individual Price
|
750$ Per Delegate
|
|
Location
|
OpenCastLabs Training Facilities, Nairobi
Kenya
|
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.
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
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