Data Management and Statistical Analysis Using STATA Training Course

Data Management and Statistical Analysis Using Stata Training Course

Course Preview

The course seeks to impart knowledge to participants on the fast and accurate manner of managing and analyzing data prior to interpretation and presentation in research, especially in the fields of economics, sociology, political science, biomedicine, and epidemiology. 

COURSE OBJECTIVES

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

  • Understand statistical terms and concepts
  • Learn the usage of Stata in analyzing data
  • Practice using Stata software by applying simple and complex data management projects

DURATION

5 Days

 

WHO SHOULD ATTEND

The course targets professionals working in private and public institutions and volunteers who intend on increasing their knowledge on data management and analysis.

COURSE OUTLINE

Statistical analysis introduction

  • Research process
  • Differentiation between population and samples
  • Understanding the differences between experimental and non-experimental research
  • Independent and dependent variable

Stata

  • Datasets in Stata
  • Stata commands
  • Variables in Stata
  • Stata analysis

Graphics using Stata

  • Stata GUI
  • Graph command syntax
  • Forms 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

  • Time series analysis using Stata
  • Time series plotting
  • Seasonal differences
  • Auto correlations
  • Forecast models in Stata

Econometric Analysis

  • Cross-sectional data econometric Analysis
  • Panel data econometric Analysis
  • Time-series data econometric Analysis

 

METHODOLOGY

The instructor-led pieces of training are delivered using a combined learning approach and comprise of presentations, practical sessions, and online tutorials. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

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

ACCREDITATION

Upon successful completion of this training, participants will be issued with Profound Research Services (PRC) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at PRC Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch.

All participants will additionally cater for travel expenses, visa application(where applicable), insurance among other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are 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 74040112

TAILOR-MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our PRC Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 74040112 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.

PAYMENT

Payment should be transferred to PRC account through bank on or before C.O.B.  31st January 2022.

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

 

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 Date 02-07-2022 8:00 am
Event End Date 02-11-2022 1:00 pm
Cut off date 01-31-2022
Individual Price KSH 70,000.00
Location Nairobi-Kenya
We are no longer accepting registration for this event
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