Quantitative Data Management & Analysis With STATA




15th to 19th Jan 2024


12th to16th Feb 2024


11th to 15th March 2024


8th to 12th April 2024


13th to 17th May 2024


1oth to 14th June 2024


15th to 20th July 2024


12th to 16th Aug 2024


9th to 13th Sept 2024


14th to 18th Oct' 2024


11th to 16th Nov' 2024


9th to 13th Dec 2024


Training on data analysis using STATA refers to a statistical application which can be used in the management of information, graphics, and analysis. It includes advanced features including forecasting, data analysis, survival analysis, and time sequence analysis and also surveys methods. It may be used via a graphical interface utilizing very intuitive language.

Course Objectives:

• Manage, edit as well as structure huge databases

• Generating descriptive figures

 • Creating effective publication-quality graphs.

• Data Analysis/Estimations

Workflow use commands

Number of Days: 5

Who can attend?

Statisticians, analysts, and up-coming data scientists who wish to learn analysis of data with STATA.

Course Outline

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

Introduction to Stata

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

Graphics using Stata

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

Statistical Tests using Stata

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

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


  • All the participants should be conversant with the English language.
  • All our courses involve a mix of one on one presentations, web based tutorials, group discussions, and practical exercises.
  • All courses can be tailor made and adjusted to meet the client’s needs.
  • We have a team of professional experts who work as professionals and trainers in their respective fields.
  • Each participant will get an Uphilos Consultancy certificate, upon completion of each course.
  • All our training sessions are held at Uphilos Center. For groups above five people we can train at any location in Kenya, above ten people any location within East Africa, and above twenty people at any location as per the client’s specifications.
  • Participants will be responsible for their travel, dinner, airport transfers, and other personal expenses.
  • Accommodation will be arranged upon request at a discounted price.
  • All payments should be made two weeks prior to the training for better logistics. Proof of payment should be sent to [email protected]
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