Training Course On Data Management And Statistical Analysis Using Stata

INTRODUCTION

The Stata statistical data software is a package with the provision of data management, analysis and graphics. The course seeks to impart knowledge to participants on the fast and accurate manner of managing and analyzing data prior to interpretation and presentation.

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

GENERAL NOTES

  • 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.
  • Upon successful completion of this course, participants will be issued with a certificate.
  • We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: training@data-afriqueconsultancy.org
  • The training will be conducted at DATA-AFRIQUE TRAINING CENTRE, Nairobi Kenya.
  • The training fee covers tuition fees, training materials, lunch and training venue. Accommodation and airport transfer are arranged for our participants upon request.
  • Payment should be sent to our bank account before start of training and proof of payment sent to: training@data-afriqueconsultancy.org

Course Schedule
Dates Fees Location Apply
13/02/2023 - 17/02/2023 $1400 Mombasa

Physical Class

Online Class
20/03/2023 - 24/03/2023 $1250 Nairobi

Physical Class

Online Class
17/04/2023 - 21/04/2023 $1250 Nairobi

Physical Class

Online Class
15/05/2023 - 19/05/2023 $3500 Dubai

Physical Class

Online Class
19/06/2023 - 23/06/2023 $1400 Mombasa

Physical Class

Online Class
17/07/2023 - 21/07/2023 $2950 Kigali

Physical Class

Online Class
21/08/2023 - 25/08/2023 $1250 Nairobi

Physical Class

Online Class
18/09/2023 - 22/09/2023 $1400 Mombasa

Physical Class

Online Class
16/10/2023 - 20/10/2023 $2950 Kigali

Physical Class

Online Class
20/11/2023 - 24/11/2023 $1400 Mombasa

Physical Class

Online Class
11/12/2023 - 15/12/2023 $1250 Nairobi

Physical Class

Online Class

Our 2023 Group Rates (in USD)

# of Days
Group #
5 DAYS PER PERSON
10 DAYS PER PERSON
#
PAXS
USD
USD
1. 1 1250.00 2500.00
2. 5 - 10 1000.00 2000.00
3. 11 - 20 800.00 1,600.00
4. 21 - 30 700.00 1,400.00
5. 32 - 40 650.00 1,300.00
6. 41 - 50 600.00 1,200.00
7. 51 > Above 500.00 1000.00