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This course is a powerhouse of 120 quick tips designed to make your use of Stata more efficient and impactful. Covering five main areas, the course starts with essential data management techniques, from creating code books and handling variables to comparing datasets. You'll learn how to streamline your work with techniques for verifying data, creating publication-quality tables, and exporting regression results. Each lesson is focused on practical skills that you can apply immediately to optimize your data analysis. The course then transitions to statistical and programming strategies that help you handle complex models, visualize results, and avoid common pitfalls. Whether it's reducing collinearity in polynomial variables or bootstrapping regressions, the tutorials emphasize problem-solving and real-world application. Advanced techniques such as hiding unwanted output or using loops over non-integer values are included to automate and accelerate your workflows. Finally, the course covers graphing and visualization, teaching you how to recover data from graphs, apply custom color schemes, and display correlation matrices as graphical tables. By the end of the course, you鈥檒l have a thorough understanding of how to use Stata to its full potential, whether you're handling massive datasets or creating polished reports for publication. This course is aimed at intermediate to advanced Stata users who are looking to enhance their data analysis and visualization skills. A basic understanding of Stata is recommended. Ideal for data analysts, researchers, statisticians, and anyone working with large datasets in a professional environment.