Data Management And Statistical Analysis Using Stata

Introduction

Effective data management and analysis are crucial for informed decision-making and impactful research. As such, the Data Management and Statistical Analysis Using Stata course provides a comprehensive guide to using Stata software for data management, analysis, and graphical presentation. Whether you are dealing with simple data sets or complex, large-scale projects, this course will teach you how to manage and analyze data efficiently and accurately. Through practical exercises and real-world examples, participants will learn to leverage Stata's powerful statistical tools to simplify their work, ensuring fast and reliable results.

Course Objectives

By the end of this Data Management and Statistical Analysis Using Stata course, participants will:

• Gain an understanding of key statistical concepts and terminology.
• Master the use of Stata for data analysis.
• Learn how to manage both simple and complex data using Stata's functionalities.

Duration

5 Days

Who Should Attend

This Data Management and Statistical Analysis Using Stata course is designed for professionals working in private and public institutions, as well as volunteers looking to enhance their skills in data management and statistical analysis using Stata.

Course Outline

Statistical Analysis Introduction

• Overview of the research process
• Distinguishing between population and samples
• Understanding experimental vs. non-experimental research
• Defining independent and dependent variables

Stata Basics

• Working with datasets in Stata
• Essential Stata commands
• Managing variables in Stata
• Data analysis using Stata

Graphics Using Stata

• Introduction to Stata's GUI (Graphical User Interface)
• Understanding graph command syntax
• Creating various 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

• Conducting a 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

• Exploring panel data
• Fixed effects model/LSDV
• Random effects model
• Choosing the appropriate model for analysis

Time Series Analysis Using Stata

• Time series analysis and plotting in Stata
• Analyzing seasonal differences
• Understanding auto correlations
• Using forecasting models in Stata

Econometric Analysis

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

General Notes

• Expert-Led Instruction: This course is taught by seasoned professionals with years of experience in statistical analysis and data management.
• Comprehensive Learning: Participants will engage in a mix of theory, practical exercises, group work, and case studies to ensure thorough understanding.
• Materials Provided: All participants will receive training manuals and additional reference materials for use during and after the course.
• Certification: A certificate of completion will be awarded to participants who successfully complete the course.
• Custom-Tailored Courses: We offer customized training to meet specific organizational needs. Contact us at training@skillsforafrica.org for more information.
• Venue: Training will take place at Skills for Africa Training Institute, Nairobi, Kenya.
• Fees: Course fees cover tuition, materials, lunch, and the training venue. Accommodation and airport transfers can be arranged upon request.
• Payment: Payments should be made before the start of the training, and proof of payment sent to training@skillsforafrica.org.