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SPSS Data Analysis for Beginning Researchers

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2021-04-25
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Dr. Haoran Zhang
Next Course
4.5
3,850 Ratings
This course, SPSS Data Analysis for Beginning Researchers, is designed to help those who are new to research projects, including students, non-technical researchers, and curious individuals. Data analysis can be difficult due to its multi-disciplinary nature, requiring knowledge from different fields. This course provides a concise and practical approach to the minimal set of knowledge and skills needed to analyze data. It includes background knowledge, practical demonstrations, experience sharing, key points, exercises, and references. With this course, you will be able to finish your own data analysis and gain the confidence to work with data.
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SPSS Data Analysis for Beginning Researchers Go to class
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 course, participants will acquire knowledge in the data analysis software (e.g. SPSS, Excel, R, etc.), statistics concepts, and research methods. They will also gain experience and skills working with data, such as how to deal with the most common issues while working with data, avoid the common mistakes and misunderstandings, and work around some annoying bugs in SPSS. Additionally, they will learn how to integrate the knowledge from different fields in order to conduct data analysis for their research.


Contribution to Professional Growth:
This course contributes to professional growth by providing a structured and practical approach to data analysis for beginning researchers. It provides the necessary background knowledge, practical demonstrations, experience sharing, key points, exercises, and references to help learners understand and apply the concepts to their own research projects. By completing this course, learners will gain the knowledge and skills needed to conduct data analysis for their own research projects, which will help them to become more confident and successful in their professional endeavors.


Suitability for Further Education:
This course is suitable for preparing further education as it provides a comprehensive overview of the necessary knowledge and skills needed to conduct data analysis for research projects. It covers topics such as data analysis software, statistics concepts, research methods, and experience and skills working with data. Additionally, the course provides practical demonstrations, experience sharing, key points, and exercises to help students apply what they have learned. This makes it an ideal course for those looking to gain a better understanding of data analysis and prepare for further education.

Course Syllabus

Introduction and Data Preparation

Descriptive Statistics

Inferential Statistics

Regression Analysis

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