SPSS Beginners: Master SPSS

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2016-03-30
Learners

No Information
Duration

No Information
Instructor

SPSS Statisticians MyProjects

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4.1

2,358 Ratings

This SPSS data analysis course is designed to help anyone without a background in statistics or mathematics to confidently analyze data, choose the right descriptive statistics technique and write up the results of their findings. Through easy step-by-step guides, the course covers everything from entering data into SPSS to interpreting the results. It also teaches how to create graphs, plots and charts in SPSS and how to choose the appropriate statistical technique to analyze data. With 20 real-life research question examples and a mix of video materials, slides, template documents, SPSS data and output files, this course is the perfect way to master descriptive statistics in SPSS. Take this course and learn the skills you need to confidently analyze data and write up the results of your findings.

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 13th, 2023]

Skills and Knowledge Acquired:
By taking this SPSS Beginners: Master SPSS course, participants will acquire the skills and knowledge to effectively use SPSS to analyze data, choose the right descriptive statistics technique, create graphs, plots and charts, and interpret the results of their findings. Additionally, participants will learn how to choose the appropriate statistical technique to analyze data in SPSS, including Pearson Correlation, Spearman Ranked Order Correlation, Kendall's Tau B Correlation, Independent Samples T-test, Paired Samples T-test, Point Bi-Serial Correlation, Mann Whitney U Test, Kruskal Wallis Mcnemar's Test, Chi Square, Linear Regression, Mutiple Regression, Binary Logistic Regression, Repeated Measures ANOVA, Between Subject ANOVA, and Mixed/Split-Plot ANOVA.

Contribution to Professional Growth:
This SPSS data analysis course contributes to professional growth by providing a comprehensive overview of the SPSS interface, data entry, descriptive statistics, and inferential statistics. It offers step-by-step guidance on mastering SPSS and provides an easy-to-follow flow chart to help users choose the right statistical technique for their data. The course also covers the creation of graphs, plots, and charts, as well as how to manipulate them to suit individual needs. By taking this course, users will gain the skills and knowledge necessary to confidently analyze data in SPSS and make informed decisions based on their findings.

Suitability for Further Education:
This SPSS data analysis course is suitable for preparing further education as it covers a wide range of topics related to data analysis and descriptive statistics. It provides step-by-step guidance on how to use SPSS, enter data, sort, edit and remove data, and transform variables. It also covers topics such as descriptive statistics, creating graphs, plots and charts, and choosing the appropriate statistical technique to analyze data. Furthermore, the course provides examples of real-life research questions and a flow chart to help students choose the right test. With this comprehensive course, students will be well-prepared for further education in data analysis and descriptive statistics.

Course Syllabus

Introduction To SPSS

Creating, Importing and Exporting Data in SPSS

Creating, Managing and Manipulating SPSS Variables

Descriptive Statistics: Measures of Central Tendency and Dispersion

Creating and Interpreting The Outputs of Charts, Plots and Graphs

Descriptive Statistics: Preliminary Tests

Introduction To Inferential Statistics

Correlation in SPSS

Choosing The Right Test

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