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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