Predictive Analytics with SPSS: Analyze & Apply

位教师：EDUCBA

访问权限由 New York State Department of Labor 提供

6个模块

深入了解一个主题并学习基础知识。

14 条评论

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

6个模块

深入了解一个主题并学习基础知识。

14 条评论

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

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

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作业

22 项作业

授课语言：英语（English）

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有6个模块

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.

This course is designed to build a step-by-step mastery of predictive analytics using SPSS, starting from data handling fundamentals to advanced regression modeling. Each module integrates theory with applied case studies, enabling learners to connect statistical concepts to practical decision-making. What makes this course unique is its structured approach that combines clear explanations, SPSS demonstrations, and diverse datasets across health, psychology, and finance domains. Learners will gain not only technical proficiency in SPSS but also the confidence to apply predictive modeling techniques in real-world research, business, and academic contexts. Whether you are a student, researcher, or professional, this course equips you with the tools to transform raw data into actionable insights.

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

9个视频总计70分钟

Importing Datasets in Text and CSV 6分钟
Importing Datasets,xls Formats 6分钟
Importing Datasets,xls Formats Continue 6分钟
Understanding User Operating Concepts 5分钟
Software Menus 5分钟
Understanding Mean Standard Deviation 11分钟
Other Concepts of Understanding Mean SD 11分钟
Implementation Using SPSS 12分钟
Implementation using SPSS Continues 8分钟

3个作业总计50分钟

Importing Data and SPSS Fundamentals 30分钟
Importing and Managing Data 10分钟
Statistical Basics in SPSS 10分钟

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

11个视频总计99分钟

Basic Correlation Theory 12分钟
Interpretation 11分钟
Implementation 11分钟
Data Editor 9分钟
Simple Scatter Plot 6分钟
Heart Pulse 10分钟
Statistics Viewer 7分钟
Heart Pulse (Before and After RUN) 8分钟
Correlation Analysis with Predictive Modeling (SPSS) 6分钟
Correlation Between Student Test Scores 10分钟
Exploring Correlation with Small Sample Data 10分钟

3个作业总计50分钟

Correlation and Initial Data Visualization 30分钟
Correlation Concepts and Tools 10分钟
Case-Based Correlation Studies 10分钟

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

16个视频总计138分钟

Introduction to Linear Regression Modeling (SPSS) 9分钟
Introduction to Linear Regression Modeling Using SPSS 8分钟
Linear Regression 8分钟
Stock Return 10分钟
T-Value 9分钟
Scatter Plot Rril v/s Rbse 5分钟
Create Attributes for Variables 10分钟
Scatter Plot Rify v/s Rbse 5分钟
Regression Equation 9分钟
Interpretation Example 10分钟
Copper Expansion 12分钟
Copper Expansion Example 9分钟
Copper Expansion Example Continue 10分钟
Energy Consumption 12分钟
Observations 8分钟
Energy Consumption Example 5分钟

4个作业总计60分钟

Linear Regression Modeling 30分钟
Introduction to Regression 10分钟
Regression Equations and Interpretation 10分钟
Real-World Regression Case Studies 10分钟

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

17个视频总计152分钟

Debt Assessment 11分钟
Debt Assessment Continue 8分钟
Debt to Income Ratio 12分钟
Credit Card Debt 11分钟
Predicted values Using MS Excel 7分钟
Predicted values Using MS Excel Continue 6分钟
Introduction to Basic Multiple Regression 6分钟
Important Output Variables 7分钟
Multiple Regression: Building the Regression Equation 10分钟
Refining Variables and Regression Coefficients 10分钟
Heart Pulse Study: Regression Before and After Run (Smokers) 11分钟
Testing Regression with Multiple Input Values 9分钟
Evaluating R² and Significance in Heart Pulse Data 8分钟
Regression Case B: Post-Run Heart Pulse Data 8分钟
Debt Assessment Case Study with Multiple Regression 9分钟
Analyzing R² and Correlation in Debt Data 10分钟
Debt-to-Income Ratio and Credit Card Debt Analysis 8分钟

4个作业总计60分钟

Multiple Regression Applications 30分钟
Debt and Financial Modeling 10分钟
Multiple Regression Basics 10分钟
Regression with Health and Debt Case Studies 10分钟

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

16个视频总计140分钟

Scatterplot Interpretation in Multiple Regression 7分钟
Psychology Study: Extroversion and Regression Modeling 11分钟
Regression Equation Interpretation: Age and Car Miles 8分钟
Advanced Interpretation: Age, Car Miles, and Extroversion 9分钟
Generating Descriptive Statistics for Regression Variables 9分钟
Understanding Logistic Regression Concepts 8分钟
Working on IBM SPSS Statistics Data Editor 9分钟
SPSS Statistics Data Editor Continues 9分钟
IBM SPSS Viewer 7分钟
Variable in the Equation 8分钟
Implementation Using MS Excel 8分钟
Smoke Preferences 7分钟
Heart Pulse Study 11分钟
Heart Pulse Study Continues 7分钟
Variables in the Equation 9分钟
Smoking Gender Equation 11分钟

4个作业总计60分钟

Advanced Regression and Logistic Analysis 30分钟
Advanced Multiple Regression Interpretation 10分钟
Logistic Regression Concepts 10分钟
Logistic Regression Case Studies 10分钟

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.