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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spss-quantitative-research-analysis/
课程评论：没有评论
Coursera 课程总结：SPSS (定量研究分析) 本课程将教授如何使用 SPSS 进行各种定量研究分析，包括： * **数据录入与管理：** 如何将填写好的问卷数据录入 SPSS。 * **描述性统计：** 计算数据的频率分析、均值、中位数、众数和标准差。 * **推断性统计：** * **相关性分析：** 理解变量之间的关系强度和方向。 * **回归分析：** 预测一个变量如何被其他变量影响。 * **方差分析 (ANOVA)：** 比较三个或三个以上组别的均值是否存在显著差异。 * **T 检验：** 比较两个组别的均值是否存在显著差异。 **课程价值：** 无论您是学生还是研究人员，掌握 SPSS 的数据分析能力都至关重要。它可以帮助您： * **完成学术作业：** 高效地分析研究数据。 * **进行商业预测：** 例如，分析公司产品销售数据，预测未来销售趋势，辅助营销决策。 * **理解数据驱动的世界：** 在当今数据日益重要的时代，数据分析是获取有效见解的关键。 通过本课程，您将能够利用 SPSS 获得可靠的数据分析结果，为您的学习和职业生涯提供有力支持。
In this particular course, you will understand how to perform different tests like correlation, regression, Anova, and T-test in SPSS. Not only this, but you will also understand that how can we enter a pre-filled questionnaire in the form of data in SPSS. Furthermore, you will also learn how to perform frequency analysis and calculate mean, median, Mod and standard deviation of your data. Data analysis is an effective part of forecasting data whether you are a researcher or a student, it can be helpful to complete an assignment. Additionally, it can be helpful in order to forecast the returns of a company for a researcher. Nowadays, everything is being dependent on data analysis and therefore it is highly recommended to understand that the data analysis can provide effective results for the future. For instance; if there are two clothing items that are becoming easily unpopular among the people, then a correlation analysis on the returns of those two items can be conducted. If the returns are correlated with each other, then it can be said from absolute certainty that the two items are the main cause of the company's decreasing returns. Similarly, same can be predicted for the returns of two or multiple clothing items as popular brands, if the results are correlated then it can be said with certainty that those items should be more marketed in order to increase the returns of the company.
