Introduction to SPSS This is a live, instructor-led event presented by Pragya Modi from Digital Skills and Training, ISG.This event aligns with the Information, data and media literacy competencies on the Digital Skills Framework.This course is open to all staff and students and there are no prerequisites to attending.Course Description:Introduction to SPSS is a beginner friendly course that provides you with an overview of the software and how to use it. From installing SPSS on your computer to data analysis, the webinar provides you with all tools required to get started with SPSS. If you would like to follow along with the SPSS in practice part, you can download SPSS using the university’s installation guide here. Or you can use the 30-day free SPSS trial from here. If you are using a university managed laptop or desktop, you may need to request access to SPSS from your department. Topics covered:Installing SPSSBasic StatisticsTypes of data in SPSSGood data practicesData cleaning and organisationExploratory data analysisData visualisationUnderstanding your dataT-testChi-square testPlease note that resources and any recordings will only be shared with those attending the webinar. Instructor BiographyPragya Modi is a PGT student at the University of Edinburgh studying Artificial Intelligence. She has a bachelor's degree in Computer Science where she developed her skills in data analysis, statistics, and data management. She also has a bachelor’s degree in psychology where she used SPSS as part of her course.If you have any questions about the webinar, please feel free to contact Pragya Modi: pmodi@ed.ac.ukContact Digital Skills and TrainingIf you have questions about this event email is.skills@ed.ac.uk. For more information on developing your digital skills see www.ed.ac.uk/is/skills. Oct 23 2024 11.30 - 12.30 Introduction to SPSS Introduction to SPSS is a beginner friendly course that provides you with an overview of the software and how to use it. Booking link
Introduction to SPSS This is a live, instructor-led event presented by Pragya Modi from Digital Skills and Training, ISG.This event aligns with the Information, data and media literacy competencies on the Digital Skills Framework.This course is open to all staff and students and there are no prerequisites to attending.Course Description:Introduction to SPSS is a beginner friendly course that provides you with an overview of the software and how to use it. From installing SPSS on your computer to data analysis, the webinar provides you with all tools required to get started with SPSS. If you would like to follow along with the SPSS in practice part, you can download SPSS using the university’s installation guide here. Or you can use the 30-day free SPSS trial from here. If you are using a university managed laptop or desktop, you may need to request access to SPSS from your department. Topics covered:Installing SPSSBasic StatisticsTypes of data in SPSSGood data practicesData cleaning and organisationExploratory data analysisData visualisationUnderstanding your dataT-testChi-square testPlease note that resources and any recordings will only be shared with those attending the webinar. Instructor BiographyPragya Modi is a PGT student at the University of Edinburgh studying Artificial Intelligence. She has a bachelor's degree in Computer Science where she developed her skills in data analysis, statistics, and data management. She also has a bachelor’s degree in psychology where she used SPSS as part of her course.If you have any questions about the webinar, please feel free to contact Pragya Modi: pmodi@ed.ac.ukContact Digital Skills and TrainingIf you have questions about this event email is.skills@ed.ac.uk. For more information on developing your digital skills see www.ed.ac.uk/is/skills. Oct 23 2024 11.30 - 12.30 Introduction to SPSS Introduction to SPSS is a beginner friendly course that provides you with an overview of the software and how to use it. Booking link
Oct 23 2024 11.30 - 12.30 Introduction to SPSS Introduction to SPSS is a beginner friendly course that provides you with an overview of the software and how to use it.
