Applied Statistics: From Concept to Practice

Applied Statistics: From Concepts to Practice and with applications in STATA, R, Python, SPSS & Excel is a comprehensive, beginner-to-intermediate level course designed to equip learners with both the theoretical foundation and practical skills to apply statistical methods across a range of disciplines. Whether you're a student, researcher, or professional, this all-in-one programme will guide you step by step through the full cycle of data analysis, from designing surveys to interpreting regression results, using the most widely used tools in academia and industry. The course is structured into 10 logically sequenced modules covering topics such as descriptive statistics, questionnaire design, survey methodology, probability and probability distributions, confidence intervals, hypothesis testing, chi-square and F-tests, and regression and correlation analysis. Each topic is not only explained clearly through intuitive theory, but also demonstrated with hands-on exercises using STATA, R, Python, SPSS, and Excel. No prior knowledge of statistics or coding is required. We start from the basics and gradually build your expertise. By the end of this course, you’ll be confident in conducting your own statistical analyses, visualising data effectively, making data-driven decisions, and interpreting results in both academic and applied contexts. Whether you're preparing for research, a thesis, or a data-driven job, this course will provide the tools and confidence to succeed.