Mulago, College of Health Sciences Kampala (UG) 

Data Analysis using STATA-Intermediate level

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About Course

Welcome to the transformative journey into the world of data analysis with STATA – an immersive course designed to empower you with the skills and knowledge needed to harness the potential of data for informed decision-making. In an era where data drives critical choices across diverse industries , mastering the art and science of data analysis is not just a skill; it’s a strategic advantage.

STATA, a versatile and powerful statistical software, is at the heart of this journey. Its user friendly interface, extensive capabilities, and robust statistical tools make it the preferred choice for professionals and researchers worldwide. Whether you are a novice eager to explore the basics or an experienced analyst aiming to refine your skills, this course caters to all levels, ensuring you become proficient in leveraging STATA for comprehensive data analysis.

What Awaits You:

  1. Hands-On Learning: Immerse yourself in a dynamic learning experience with hands-on exercises, real-world case studies, and interactive sessions that bridge the gap between theory and practical application.
  2. Comprehensive Coverage: From the fundamentals of data management and exploratory data analysis to hypothesis testing including but not limited to; linear and logistic regression models, ANOVA, post-hc test, t-tests, Chi square, correlation, Data visualization and non- parametric tests such as Kruskal Wallis, Wilcoxon rank-sum test,etc. Our comprehensive curriculum ensures you master a diverse array of analytical tools.
  3. Expert Guidance: Learn from seasoned instructors with extensive experience in both data analysis and STATA. Benefit from their insights, practical tips, and real-world examples that bring the concepts to life.
  4. Practical Projects: Apply your knowledge through practical projects, tackling real-world challenges. Gain the confidence to navigate complex datasets and extract meaningful insights that drive impactful decisions.
  5. Peer Collaboration: Engage with a community of like-minded learners, fostering collaboration, knowledge exchange, and a supportive network that extends beyond the course duration.

Join the Data Revolution: Your Future Begins Here

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What Will You Learn?

  • Understand and apply univariate,Bivariate and Multivariate analysis
  • Data cleaning and Manipulation in STATA
  • Transforming string data to coded
  • Renaming variable labels
  • Creating new variables
  • Deleting variables
  • Recoding and replacing data
  • Transforming numerical data to categories
  • Normality test for numerical data
  • Descriptive statistics for qualitative and quantitative data
  • Data visualization
  • Histograms bar plots, scatter plots, and box plots
  • Customizing charts and plots
  • Exporting charts and plots for reports
  • Understand how to select the right statistical test for analysis
  • Use P value to draw conclusions about data
  • Perform and interpret t-tests
  • Perform and interpret Chi-square test
  • Perform and interpret Simple and multiple linear regression
  • Perform and interpret Bivariate and multivariate logistic regression
  • Understand Odds ratios and coefficients

Course Content

Introduction to STATA Interface
For beginners, if this is your first encounter with STATA software, this is to provide you with a brief introduction to STATA for purposes to make your data analysis using STATA-Intermediate level a smooth progress.

  • Useful Learning Resources
    01:18
  • STATA interface
    13:45

Data Transformation and Cleaning
• Handling missing data • identifying outliers and duplicates • Deleting variables • Labeling data values • Transforming string to coded (Encoding) • Renaming Variables • Renaming variable labels • Creating new variables • Recoding and replacing data • Categorizing numerical data • Normality test • Descriptive statistics • Exploratory Data Analysis (EDA)

Data Visualisation

Inferential statistics

Course recap and Summary

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