[GET] SPSS: A Practical Guide to Data Analysis

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SPSS: A Practical Guide to Data Analysis
Learn Data Import; Descriptive Statistics; Charts, Variance and Regression Analysis for Research and Business Analysis
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1,605 students
1 hour on-demand video
10 articles
1 downloadable resource

Description
Welcome to course: IBM SPSS: A Practical Guide to Data Analysis by MTF Institute

Become 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!

Unlock the power of your data with this practical IBM SPSS course! Designed for beginners and intermediate learners, this course takes you step-by-step from importing your raw data into IBM SPSS to confidently interpreting and presenting your findings. You'll gain hands-on skills in essential SPSS techniques, enabling you to extract meaningful insights for your research, academic projects, or professional reports.

We'll start with the fundamentals: navigating the SPSS environment and efficiently importing data from various sources. You'll then master descriptive statistics to summarise and understand your data's basic characteristics. Learn to create compelling and informative charts and graphs to visualize patterns and trends.

This course goes beyond the basics, equipping you with essential data transformation methods to prepare your data for analysis. You'll delve into the world of relationships between variables, exploring correlations and regression. You'll also learn to perform t-tests and ANOVA to compare group means, and gain an introduction to powerful multivariate analysis techniques.

But this course isn't just about running the numbers. A core focus is on interpreting your SPSS output correctly. You'll learn to move beyond simply reporting p-values, and instead, focus on effect sizes, confidence intervals, and the practical significance of your results. This will enable you to tell a compelling and data-driven story.

By the end of this course, you'll be equipped with the SPSS skills and the interpretive expertise to confidently analyze data, communicate your findings effectively, and make data-backed decisions.



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