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Data Management, Analysis, and Graphics Using Stata


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 modelling, 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.


5 days



  • Descriptive Statistics
  • Inferential Statistics
  • Research process

Stata basics

  • Learn how to use Dialog Boxes
  • The command widow
  • User-written extensions
  • Directory Management
  • Obtaining help and perform search
  • STATA syntax
  • Using Basic Statistical Commands
  • Reusing results of STATA commands

Concepts and software for data collection and processing

  • Planning data gathering and processing
  • Introduction to mixed methods for Data Collection (Web, and Mobile tools)
  • Use of Mobile Phones for Data Collection (Open Data Kit)


Data structures and types of variables

  • Distinguishing between Categorical data, Continuous data; Numerical, string and date/time variables
  • Managing missing data
  • Creating dummy variables
  • Other special purpose variables
  • Converting datasets into summaries
  • Labelling variables, encoding variables and generating new variables

Output management

  • Logs for output
  • Use of translators for exporting STATA files and output
  • Copy and paste from STATA to text editors and spreadsheets

Basics of stata programming

  • The command display, explicit subscripting and important prefixes
  • Executing commands using do-files
  • Proper structure of do-files
  • Using comments
  • Writing long commands

Data management using stata

  • Import, Export, load and save datasets
  • Create pseudorandom datasets
  • Review and document the dataset
  • Sorting and ordering
  • Appending, merging and reorganizing datasets
  • Validate data structure
  • Identify duplicate observations
  • Benefits of filtering

Basics of graphing with stata

  • Graphing Qualitative Data
  • Graphing Quantitative Data
  • Dialog Boxes vs. Do-file routines
  • Inspecting the data prior graphing
  • Reducing the data dimension to speed up graphing
  • Setting range of variation

Subgroups and overlays in stata graphics

  • Graphing by categorical groups
  • Subgroup options
  • Formatting graph text
  • Superimposing densities and other graphs
  • Legends for multiple graphs and multiple axes

Generalized syntax for overlaying multiple graphs

  • The -two way-Command
  • Scatter graph
  • Linear fits and nonlinear fits
  • Parametric density estimators and Non-parametric density estimators
  • Soft coded vs. hard coded syntax.
  • Using loops for multiple overlays

Advanced graphing

  • Combining multiple graphs side-by-side
  • Recasting two way plots
  • Reproducing formatting
  • Creating your own graph scheme
  • The graph editor as a scheme maker

Quantitative analysis using stata

Tests for Statistical Inference

  • Tests of Association
  • Tests of Difference

Regression analysis

Linear regression analysis

  • Ordinary least squares
  • Predicted values and residuals
  • Correlation and Standardized Regression Coefficients
  • Hypothesis testing
  • Problems with regression

Longitudinal/panel data

Introduction to panel data analysis

  • Advantages of panel data analysis
  • Panel data sets
  • Balanced and unbalanced panels
  • Panel data dimensions and frequencies
  • Properties of estimators
  • Graphing panel data


Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.


The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.


The training is residential and will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

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


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email:This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814


This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training center or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment should be transferred to IRES account through bank on or before C.O.B. 24th Feb 2020.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment for all courses includes a registration fee, which is non-refundable and equals 15% of the total sum of the course fee.

  1. Participants may cancel attendance 14 days or more prior to the training commencement date.
  2. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 5 Days
Event Date 02-03-2020
Event End Date 06-03-2020
Cut off date 24-02-2020
Individual Price(Kenyan) KES 69,000
Individual Price (International) EUR 790
Individual Price(International in Dollars) USD 920
Location Mombasa, Kenya
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