STATA for Beginners

Acquire the essential skills you need to work with STATA for data management and analysis.

Are you ready to dive into the world of data management and analysis using STATA? Our carefully crafted “STATA for Beginners” course is designed to cater to both newcomers and those looking to refine their STATA skills.

Our beginner-friendly course is the ideal starting point for anyone eager to utilize STATA for data analysis. With the support of our knowledgeable instructors, you’ll gain hands-on experience and valuable insights to excel in data-driven fields.

Target Participants

The STATA for Beginners course is designed for participants who intend to learn the use of Stata for data management and data analysis. Those working in the corporate world, public sector, research institution and NGOs.

Course learning outcomes

By the end of this course, the participants will be able to:

• Importing data from spreadsheets like Excel into STATA
• Best practices of using STATA such us using do-files, and logging
• Summarizing data using descriptive statistics such as frequencies, mean, median and standard deviation
• Exploring relationships between variables
• Developing bar charts and histograms
• Exporting your output into Microsoft Word

Course content

1. Introduction

• The STATA interface
• Getting started with the STATA command language
• STATA help
• Using do-files and logging

2. Working with data

• Importing data from Excel
• Setting the working directory
• Exploring the data and variables

3. Descriptive statistics in STATA

• Frequencies
• Summary statistics
• Comparing means
• Cross-tabulation

4. Charts and exporting output

• Histogram
• Bar chart
• Getting your output

Training Approach

This STATA for Beginners course is delivered by our seasoned trainers who have vast experience as expert professionals in data analysis with Stata. The course features plenty of practice materials, quizzes, and a final assessment to cement your newly acquired STATA skills.

Training manuals and additional reference materials are provided to the participants.

Certification

Upon successful completion of this course, participants will be issued with a certificate.

Prerequisites

Familiarity with basic statistical knowledge is ideal. No prior working knowledge of Stata software is required for this course.

Tailor-Made Course

We can also do this as a tailor-made course to meet organization-wide needs. A training needs assessment will be done on the training participants to collect data on the existing skills, knowledge gaps, training expectations, and tailor-made needs.

Course Duration (classroom-based)

2 Days (8 hours a day)

Payment

1200 ETB

Course Level

Beginner level

Training Language

English (Optional - Amharic)

Download the Course Outline

Download this course outline for use offline or for other devices.

Data Analysis and Interpretation using STATA

Learn the fundamentals of statistical data analysis and interpretation using STATA.

The Data Analysis and Interpretation using STATA course takes you from absolute beginner level of both STATA and statistical methods, to fairly advanced topics such as Analysis of Variance and regression.

The course leans heavily on using the extremely flexible STATA command language, apart from utilizing the graphical user interface in few cases.

Target Participants

The Data Analysis and Interpretation using STATA course is designed for participants who intend to learn the use of Stata for data management and data analysis. Those working in the corporate world, public sector, research institution and NGOs.

Course learning outcomes

By the end of this course, the participants will be able to:

• How to create variables and enter data, data importing, and data preparation
• Best practices of using STATA such us using do-files, and logging
• Summarizing data using descriptive statistics
• Exploring relationships between different types of variables
• Choosing appropriate charts and developing them
• Transforming variables and managing the data to suit your analyses
• Choosing the appropriate inferential tests such as chi-square, t-tests and regression and running them
• How to interpret all the statistics presented in the course and presenting them using the APA format

Course content

1. Introduction and getting started

• What is STATA
• STATA interface
• Understanding STATA commands
• Using STATA help

2. Statistics basics

• Understanding data
• Understanding variables
• Measurement levels – the key to choosing analyses
• Branches of statistics

3. Getting data into STATA

• Creating variables
• Entering data
• Importing data from an Excel file
• Changing variable properties
• Changing variable properties II – value labels and notes
• Importing data from SPSS

4. Best practices working with STATA

• Creating and using a do-file
• Creating and using logs
• Exploring the data set and variables

5. Exploring data using descriptive statistics

• Frequencies
• Interpreting and reporting frequencies
• Summary statistics
• Summary statistics II
• Interpreting and reporting summary statistics

6. Exploring relationships between variables

• Introduction to variable relationships
• Mean comparisons – Relationship between categorical and continuous variables
• Interpreting and reporting mean comparisons
• Crosstabulation – relationships between 2 categorical variables
• Interpreting and reporting crosstabulations
• Correlation – relationship between 2 continuous variables
• Interpreting and reporting correlations

7. Charts

• Introduction to charts in STATA
• Univariate bar chart
• Pie chart
• Histogram
• Line chart
• Multivariate bar chart
• Scatter plot
• Combo charts
• Customizing charts

8. Transforming variables and managing data

• Sorting data
• Recoding
• Computing variables
• Filtering using IF
• Filtering using IN
• Disaggregating using BY
• Merging data sets

9. Getting started with inferential statistics and hypothesis testing

• Fundamentals of inferential statistics and hypothesis testing
• Running, interpreting, and reporting correlations

10. Inferential statistics: mean comparisons

• Mean differences – One sample t-test
• Interpreting and reporting one sample t-test
• Mean differences – Paired samples t-test
• Interpreting and reporting paired samples t-test
• Mean differences – Independent samples t-test
• Interpreting independent samples t-test
• Mean differences – one Way ANOVA
• Interpreting One Way ANOVA
• Reporting One Way ANOVA

11. Inferential statistics - linear regressions

• Introduction to linear regression
• Running a linear regression
• Running a multiple linear regression
• Interpreting multiple linear regression
• Reporting regressions

12. Inferential statistics - nonparametric tests

• Chi square of independence
• Interpreting and reporting chi-square

Training Approach

This Data Analysis and Interpretation using STATA course is delivered by our seasoned trainers who have vast experience as expert professionals in data analysis with Stata. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.

Certification

Upon successful completion of this course, participants will be issued with a certificate.

Prerequisites

Familiarity with basic statistical knowledge is ideal. No prior working knowledge of Stata software is required for this course.

Tailor-Made Course

We can also do this as a tailor-made course to meet organization-wide needs. A training needs assessment will be done on the training participants to collect data on the existing skills, knowledge gaps, training expectations, and tailor-made needs.

Course Duration (classroom-based)

10 Days (8 hours a day)

Payment

4400 ETB

Course Level

Beginner to Intermediate level

Training Language

English (Optional - Amharic)

Download the Course Outline

Download this course outline for use offline or for other devices.

Data Management and Statistical Analysis using Stata

Stata statistical data software is a complete, integrated statistical software package that provides for data analysis, data management, and graphics.

The course is aimed at researchers and other professionals who would like to strengthen their capacity using this statistical data analysis software.

The Stata training will enhance the knowledge and skills of the participants to analyse data in a fast, accurate and easier manner by using Stata software and will know how to interpret and present the results. This will also enable participants to gain experience of the practical application of the statistical analytical techniques.

Target Participants

The Stata training is designed for participants who intend to learn the use of Stata for data management and data analysis. Those working in the corporate world, public sector, research institution and NGOs.

Course learning outcomes

By the end of this course, the participants will be able to:

• Understand and appropriately use statistical terms and concepts
• Perform data analysis tasks with Stata
• Perform simple to complex data management tasks using Stata software
• Statistical tests using Stata

Course content

1. Introduction to Statistical Analysis

• Explain the basic steps of the research process
• Explain differences between populations and samples
• Explain differences between experimental and non-experimental research designs
• Explain differences between independent and dependent variables

2. Introduction to Stata

• Datasets in Stata
• Introduction to Stata commands
• Working with variables in Stata
• Basic analysis using Stata

3. Graphics using Stata

• Introduction to Stata GUI
• Graph command syntax
• Different types of Graphs in Stata

4. Statistical Tests using Stata

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

5. Associations in Stata

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

6. Predictive Models using Stata

• Linear Regression
• Multiple Regression
• Logistic Regression
• Ordinal Regression

7. Panel Data Analysis using Stata

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

8. Time Series Analysis using Stata

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

9. Econometric Analysis

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

Training Approach

This Stata training is delivered by our seasoned trainers who have vast experience as expert professionals in using Stata statistical data software. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.

Certification

Upon successful completion of this course, participants will be issued with a certificate.

Prerequisites

Familiarity with basic statistical knowledge is ideal. No prior working knowledge of Stata software is required for this course.

Tailor-Made Course

We can also do this as a tailor-made course to meet organization-wide needs. A training needs assessment will be done on the training participants to collect data on the existing skills, knowledge gaps, training expectations, and tailor-made needs.

Course Duration (classroom-based)

6 Days (8 hours a day)

Payment

2900 ETB

Course Level

Intermediate level

Training Language

English (Optional - Amharic)

Download the Course Outline

Download this course outline for use offline or for other devices.

Research Design, Data Management and Statistical Analysis using Stata

In the socio-economic and business context, conducting research, data management and data analysis are imperative for informed decision making. The availability of several datasets and research techniques open the gateway of conducting systematic research which will be helpful for consumers, businesses and organizations.

A sound knowledge about the methodology of conducting research and use of Stata as a research, data management and analysis tool is very beneficial for the researchers.

Upon completion, the participants will develop competence in quantitative techniques through hands-on practices in study design, data collection, and management, as well as the analysis and interpretation of data.

Target Participants

The training is designed for participants who intend to learn how to plan, implement effective research studies including data management and analysis. This course will benefit the people working in the private sector, government institutions, research institutions and NGOs.

Course learning outcomes

By the end of this course, the participants will be able to:

• Understand and appropriately use statistical terms and concepts
• Design and Implement universally acceptable research
• Develop of functional research protocol
• Design both quantitative and qualitative data collection tools
• Perform data analysis tasks with Stata
• Perform simple to complex data management tasks using software
• Statistical tests using Stata software
• Writing reports from survey data

Course content

1. Introduction to research

• Introduction to research
• Different types of research
• Formulation of research problem statement
• Formulation of research hypothesis

2. Overview of Evaluation

• Evaluation Objectives
• Evaluation Criteria
• Evaluation Questions

3. Research Design

• Quantitative Research Approaches
• Qualitative Research Approaches

4. Sampling

• Sampling Techniques
• Sample size determination

5. Data Collection Methods in Research

• Quantitative data collection methods
• Qualitative data collection
• Creating an evaluation framework

6. Data Collection tools in Research

• Survey Questionnaire design
• FGD guide design
• KII guide design

7. Developing Research Protocol

• What is a research protocol?
• Basic concepts of a research protocol
• Structure of a research protocol

8. Mobile Data Collection and Processing (ODK)

• Introduction to mobile data gathering
• Design of survey forms using ODK build and XLSForm
• Use ODK collect to gather data
• Use ODK aggregate to upload data to the server
• Work with spatial data (GPS coordinates)

9. Data Processing

• Data coding
• Data capture
• Data editing
• Data imputation
• Treatment of outliers

10. Introduction to Stata statistical software

• Stata interface and features
• Key terminologies used in Stata
• Views: Variable, Data views, Syntax editor
• Data file preparation
• Data entry into Stata
• Data manipulation: merge files, spit files, sorting files, missing values

11. Basic Statistics using Stata

• Descriptive statistics for numeric variables
• Frequency tables
• Distribution and relationship of variables
• Cross tabulations of categorical variables
• Stub and Banner Tables

12. Graphics using Stata

• Introduction to graphs in Stata
• Graph commands in Stata
• Different types of Graphs in Stata

13. Statistical Tests using Stata

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

14. Statistical Associations in Stata

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

15. Predictive Models using Stata

• Linear Regression
• Multiple Regression
• Logistic Regression
• Ordinal Regression

16. Longitudinal Analysis using Stata

• Features of Longitudinal Data
• Exploring Longitudinal data
• Longitudinal analysis for continuous outcomes

17. Qualitative Data Analysis using NVivo

• Introduction to NVivo
• NVivo workspace
• Uploading qualitative data into NVivo
• Coding and making nodes
• Use of queries
• Project visualization

18. Survey Report writing and Dissemination

• Survey report format
• Survey report content
• Survey findings dissemination
• Use of survey findings for decision making

Training Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.

Certification

Upon successful completion of this course, participants will be issued with a certificate.

Prerequisites

Familiarity with basic statistical knowledge is ideal. No prior working knowledge of Stata software is required for this course.

Tailor-Made Course

We can also do this as a tailor-made course to meet organization-wide needs. A training needs assessment will be done on the training participants to collect data on the existing skills, knowledge gaps, training expectations, and tailor-made needs.

Course Duration (classroom-based)

21 Days (8 hours a day)

Payment

9900 ETB

Course Level

Specialization (for researchers)

Training Language

English (Optional - Amharic)

Download the Course Outline

Download this course outline for use offline or for other devices.

Epidemiological Data Analysis Using Stata

Epidemiologists have relied on Stata for over 30 years because of its specialized epidemiologic commands, accuracy, and ease of use. Whether you are researching infectious diseases, investigating exposure to pathogens, or studying chronic diseases, Stata provides the data management and statistical tools to support your research. It also gives you the ability to make publication-quality graphics so you can clearly display your findings.

Note: This course outline is for guidance purposes and will be customized according to the participant’s requirements.

Target Participants

The Epidemiological Data Analysis course is suitable for potential epidemiologists and biostatisticians and current researchers including clinicians, laboratory and social scientists.

Participants should have knowledge of Basic Statistics and be familiar with the Statistical package Stata.

Course learning outcomes

By the end of this course, the participants will be able to:

• Understand the principles of Epidemiology
• Perform data analysis tasks with Stata
• Perform simple to complex data management tasks for epidemiological study designs using software
• Statistical tests using Stata software

Course content

1. Principles of Epidemiology

• Epidemiology: concepts and terminology
• Population and Samples
• Measuring disease: Incidence and Prevalence
• Study Design
  • Intervention studies
  • Cohort studies
  • Case control studies
  • Observational studies
• Measuring the risk factor
• Exercises

2. Basic analytical procedures

• Review of Stata software
• Basic concepts about data type and analysis
• Introduction to basic Statistical models used in epidemiology
• Chi-square
• t-test
• Simple and Multiple linear regressions
• Logistic regression
• ANOVA & ANCOVA
• Mann-Whitney
• Exercises using Stata

3. Sample size determination

• Sample size calculation
• Sampling weight
• Statistical power
• Constructing valid comparison groups
• Exercises

4. Epidemiological tables

• 2 × 2 table and , cohort study, case–control, and matched case–control data
  • 2 × 2 stratified table for longitudinal study
  • 2 × 2 stratified table for cohort study
  • 2 × 2 stratified table for case–control study
  • 2 × 2 stratified table for matched case–control data
• Odds ratio, incidence ratio, risk ratio, risk difference, and attributable fraction
• Chi-squared, Fishers’s exact, and Mantel–Haenszel tests
• Exercises using Stata

5. Survival Analysis

• Analysis of duration outcomes
• Estimating the probability of survival
• Modeling survival as a function of covariates using Cox, Weibull, lognormal, and other regression models
• Predict hazard ratios
• Exercises using Stata

6. Cohort Design

• Standard cohort analysis
• Sample weighting
• Adjustment of variance
• Parametric models: poisson regression, Flexible Parametric survival Models (FPM)
• Exercises using Stata

7. Case Control Studies

• Basic design concepts
• Selection of Cases
• Selection of Control
• Matching
• Odds ratio for case control
• Case cohort studies
• Exercises using Stata

Training Approach

This Epidemiological Data Analysis course is delivered by our seasoned trainers who have vast experience as expert professionals in Epidemiology. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.

Certification

Upon successful completion of this course, participants will be issued with a certificate.

Prerequisites

Basic statistical knowledge and prior working knowledge of Stata software are required for this course.

Tailor-Made Course

We can also do this as a tailor-made course to meet organization-wide needs. A training needs assessment will be done on the training participants to collect data on the existing skills, knowledge gaps, training expectations, and tailor-made needs.

Course Duration (classroom-based)

6 Days (8 hours a day)

Payment

2900 ETB

Course Level

Specialization (for Epidemiologists, Biostatisticians, ...)

Training Language

English (Optional - Amharic)

Download the Course Outline

Download this course outline for use offline or for other devices.