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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-using-ibm-spss-for-beginners/
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课程名称：初学者使用IBM SPSS进行数据分析 课程概述： 本课程旨在帮助研究人员、学生和教师在数据分析阶段更好地理解统计概念在研究中的应用，从而顺利开展论文、学位论文和研究论文。 预期成果： 1. 课程将为您提供使用SPSS进行统计分析的基本基础。 2. 参与者将能够针对给定数据应用合适的统计检验。 3. 参与者将熟悉数据录入、数据准备、数据分析技术及使用SPSS进行假设检验。 4. 课程将详细解释输出结果的含义。 教学法： 该课程主要集中在应用统计学以分析数据。课程内容将理论与实践相结合，更加重视动手练习。参与者将获得输入数据以分析，并得出有意义的结果。SPSS将被用作数据分析的工具，课程将同等重视检验背后的概念及结果解释。 目标受众： 1. 研究学者 2. 管理学学生 3. 教师 SPSS作为数据分析工具： SPSS是世界范围内被研究界广泛认可的统计软件，因其用户友好的图形界面使数据分析变得更加简单。尽管SPSS易于使用，但了解其背后的基础统计概念同样重要，以便知道应对什么类型数据使用何种测试及如何解读结果。作为研究者，必须熟悉数据分析的工具、技术及其理论。本次为期两天的全国研讨会将桥接数据分析的三个维度——工具、技术与理论。
AimThis course is aimed at better understanding the application of statistical concepts in research during data analysis stage which can enable the research scholars, students and faculty members to undertake thesis, dissertation and research paper.Expected Outcome:1. The workshop shall offer you the basic foundation for statistical analysis using SPSS.2. The participants will be clear with applying appropriate statistical test for the givendata.3. The participants shall be familiar data entry, data preparation, data analysis techniquesand hypothesis testing using SPSS.4. Detailed Interpretation of the Output results.Pedagogy:The program shall be focused mainly on application of statistics for analyzing the data. Thesession will be a blend of theory and practical with more importance to hands on exercise. Inputdata shall be given to the participants to analyse and come out with meaningful results. SPSSshall be used as a tool for data analysis. Equal importance shall be given to the concepts behindthe test and interpretation of the result.Target Audience:1. Research Scholars2. Management Students3. FacultiesSPSS as a tool for Data Analysis:SPSS is one of the most widely used statistical software which is being recognised by the research community worldwide. Thanks to its user friendly Graphical User interface which has made data analyses much easier to deal with few clicks to get the required output. No matter how user friendly it is, one cannot neglect the importance of underlying fundamental statistics behind it to understand which type of test to use to what type of data and how to interpret the same. As a researcher, one has to be familiar with both the tools and techniques of data analysis and theory behind it. The two day national work shop on data analysis technique bridge the gap between all three dimensions of data analysis-Tools, Techniques and Theory behind it.
