By the end of this course, learners will be able to import and manage datasets in SPSS, apply descriptive statistics, analyze correlations, construct linear and multiple regression models, and interpret logistic and multinomial regression outputs. Through hands-on practice with real-world case studies—including heart pulse, copper expansion, energy consumption, and debt assessment—learners will evaluate predictors, interpret coefficients, and validate results.
Predictive Analytics with SPSS: Analyze & Apply
您将学到什么
Import and manage real-world datasets in SPSS effectively.
Apply descriptive, correlation, and regression analyses confidently.
Interpret logistic and multinomial regression outputs accurately.
您将获得的技能
要了解的详细信息
可分享的证书
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最近已更新！
October 2025
作业
22 项作业
授课语言：英语（English）
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该课程共有6个模块
This module introduces learners to importing data into SPSS, navigating software menus, and applying basic statistical concepts such as mean and standard deviation. Learners will also practice handling different data formats and explore essential data management tasks within SPSS.
涵盖的内容
9个视频3个作业
This module focuses on correlation analysis and data visualization techniques. Learners will explore scatter plots, SPSS data editor tools, and real-world case studies to understand relationships between variables.
涵盖的内容
11个视频3个作业
This module builds foundational knowledge of linear regression, from simple equations to real-world applications. Learners will study regression coefficients, interpret model outputs, and apply regression in diverse case studies such as copper expansion and energy consumption.
涵盖的内容
16个视频4个作业
This module covers multiple regression and its applications in financial and health datasets. Learners will refine regression models, calculate predicted values, and explore case studies involving debt assessment and credit card data.
涵盖的内容
17个视频4个作业
This module introduces advanced regression interpretation and logistic regression concepts. Learners will explore logistic regression case studies, define variables correctly in SPSS, and understand outputs such as coefficients and odds ratios.
涵盖的内容
16个视频4个作业
This module explores multinomial regression, advanced interpretation of regression outputs, and case-based applications. Learners will practice interpreting outputs like case processing summaries, model fitting, and parameter estimates to draw meaningful conclusions.
涵盖的内容
17个视频4个作业
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