UdemyIBM SPSS Statistics

SPSS: A Practical Guide to Data Analysis

التصنيف الكامل: Business > Business Analytics & Intelligence > IBM SPSS Statistics

SPSS: A Practical Guide to Data Analysis

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Welcome to course: IBM SPSS: A Practical Guide to Data Analysis by MTF InstituteBecome a data analysis expert with "IBM SPSS: A Practical Guide to Data Analysis." This course offers a practical, hands-on approach to mastering IBM SPSS, guiding you from importing raw data to confidently interpreting and presenting your results. Designed for both beginners and intermediate users, you'll learn essential SPSS techniques including data import, descriptive statistics, creating insightful charts and graphs, data transformation, exploring correlations and regression, comparing group means with t-tests and ANOVA, and an introduction to multivariate analysis. Crucially, you'll develop the skills to accurately interpret SPSS output, focusing on effect sizes and practical significance to communicate data-driven insights effectively. Enroll now and unlock the power of your data!Course AuthorDr. Alex Amoroso, PhDLead UX Product Researcher | Head of School (MTF)Dr. Alex Amoroso is a Senior UX and Product Researcher with over 10 years of experience helping organisations turn research and data into better product decisions.Her work sits at the intersection of research, product strategy, and decision-making. She has conducted large-scale studies with over 6,000 users across B2B and B2C environments, producing 30+ research reports that have directly informed product direction, user experience design, and innovation initiatives.She has worked with organisations across Europe on data-driven products, analytics platforms, and IoT systems—partnering with cross-functional teams to translate complex insights into clear, actionable decisions.Alongside her industry work, Dr. Amoroso teaches Advanced Research Design and Methodologies to doctoral students and serves as Head of the School of Business and Management at the Institute of Management, Technology an

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