課程介紹

Become an expert in statistical analysis with the most extended SPSS course at Udemy: 146 video lectures covering about 15 hours of video!

Within a very short time you will master all the essential skills of an SPSS data analyst, from the simplest o

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哪些人適合這堂課？

• students
• PhD candidates
• academic researchers
• business researchers
• University teachers
• anyone looking for a job in the statistical analysis field
• anyone who is passionate about quantitative research

學習目標

• perform simple operations with data: define variables, recode variables, create dummy variables, select and weight cases, split files
• built the most useful charts in SPSS: column charts, line charts, scatterplot charts, boxplot diagrams
• perform the basic data analysis procedures: Frequencies, Descriptives, Explore, Means, Crosstabs
• test the hypothesis of normality (with numeric and graphic methods)
• detect the outliers in a data series (with numeric and graphic methods)
• transform variables
• perform the main one-sample analyses: one-sample t test, binomial test, chi square for goodness of fit
• perform the tests of association: Pearson and Spearman correlation, partial correlation, chi square test for association, loglinear analysis
• execute the analyses for means comparison: t test, between-subjects ANOVA, repeated measures ANOVA, nonparametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis etc.)
• perform the regression analysis (simple and multiple regression, sequential regression, logistic regression)
• compute and interpret various tyes of reliability indicators (Cronbach’s alpha, Cohen’s kappa, Kendall’s W)
• use the data reduction techniques (multidimensional scaling, principal component analysis, correspondence analysis)
• use the main grouping techniques (cluster analysis, discriminant analysis)

課程介紹

Data is the new frontier of 21st century. According to a Harvard Business Report (2012) data science is going to be the hottest job of 21st century and data analysts have a very bright career ahead. This course aims to equip learners with ability of

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哪些人適合這堂課？

• PhD students and researchers looking to master SPSS skills and publish in high impact journals
• Professionals looking for a career in analytics in corporate sector
• Faculty members looking to master SPSS and advance their data analysis skills

學習目標

• Analyse any type of numerical data using SPSS with confidence
• Independently plan your research study from scratch.
• Understand the research design and results presented in high quality journal articles
• Do data analysis accurately and present the results in standard format.

課程介紹

November, 2019. 

Join more than 1,000 students and get instant access to this best-selling content – enroll today!

Get marketable and highly sought after skills in this course that will substantially increase your knowledge of data analytics, with

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哪些人適合這堂課？

• Students seeking help with SPSS, especially how to analyze and interpret the results of statistical analyses
• Professionals desiring to augment their statistical skills
• Anyone seeking to increase their data analytic skills

學習目標

• In this course, you will gain proficiency in how to analyze a number of statistical procedures in SPSS.
• You will learn how to interpret the output of a number of different statistical tests
• Learn how to write the results of statistical analyses using APA format

課程介紹

November, 2019.

Get marketable and highly sought after skills in this course that will increase your knowledge of data analytics, with a focus on descriptive statistics, an important tool for understanding trends in data and making important busines

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哪些人適合這堂課？

• Students seeking help with SPSS
• Professionals desiring to augment their statistical skills
• Anyone seeking to increase their data analytic skills

學習目標

• Learn the basics of the SPSS software program, including how to enter and code values, run analyses, and interpret output
• In this course, you will gain proficiency in how to produce and interpret a number of different descriptive statistics in SPSS

課程介紹

If you are looking to test a complex structural model then you already know the importance of AMOS. Its a powerful and one of the most popular tool for doing Structural Equation Modelling.

If you are a researcher then your knowledge of research will

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哪些人適合這堂課？

• Researchers and PhD students
• Anyone looking to master SEM using AMOS
• Data Analysts
• Psychometricians
• Professors
• Research Methodologists
• Social Scientists

學習目標

• do confirmatory analysis using AMOS
• establish reliability and validity of a scale using AMOS
• do Structural Equation Modelling using AMOS
• analyse complex path models and derive insight from multivariate data

課程介紹

Course Description

This SPSS data analysis course was created for one reason, which is to help anyone without statistics or mathematics background to analyze data in SPSS, choose the right descriptive statistics technique and write up the result of

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哪些人適合這堂課？

• Ph.D, Masters and Undergraduate Students in Universities using SPSS for A Thesis, Dissertation or Statistics Module
• Investors and Professionals with keen interests in sharpening their data analysis and statistic skills
• Anyone Seeking to boost their statistics skill, while gaining an in-depth knowledge of Data Analysis in SPSS

學習目標

• Master the operation of SPSS and use it confidently
• Enter and Code Data Correctly Into SPSS
• Use Measures of Central Tendency and Dispersion in SPSS
• Create and Edit Graphs, Charts and Plots in SPSS
• Learn The Different Types of Inferential Statistics in SPSS
• Understand the assumption of normality and no outlier and the graphical and statistical method to check them in SPSS
• Analyse Your Data and Write-up The Results in APA and Harvard Style For Pearson, Spearman, Kendall’s Tau B and Point-Biserial Correlation
• Choose The Right Statistical Technique To Analyse Data in SPSS

課程介紹

IBM SPSS Modeler is a data mining workbench that helps you build predictive models quickly and intuitively, without programming. Analysts typically use SPSS Modeler to analyze data by doing data mining and then deploying models.

Overview: This cours

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哪些人適合這堂課？

• This course is for anyone that would like to learn how to use IBM SPSS Modeler.
• This course is for anyone that would like to learn how to do Data Mining.

學習目標

• Data Mining and Advanced Analytics Defined
• Modeling Methods in Modeler
• CRISP-DM Overview
• General Modeler Orientation
• Reading Data
• Assessing Data Quality
• Integrating Data
• Constructing Data
• Modeling
• Evaluation
• Deployment

課程介紹

大數據分析是21世紀的一個熱門議題，資料科學也有機會成為本世紀最熱門的工作之一。本課程旨在使學習者理解資料分析的各種基本概念之外，亦能使學習者具備獨立進行資料分析的能力。以促使企業學習者，能在經營管理上除能從商業訊息中獲得商業契機、瞭解消費者行為、為企業制定各種行銷計畫、開發新產品、進行品牌研究，亦期能使學術研究者，在高影響力期刊上成功的發表學術論文章。

良好的量化資料分析知識與能力是學術界和企業界進步的必要條件之一。本課程針對學生、研究人員、教師和企業專業人員等各種不同領域學習者，設計足以精

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哪些人適合這堂課？

• 希望能精熟SPSS統計技術，並在高影響力期刊上發表學術論文的碩、博士生和研究人員
• 以市場調查、行銷研究為職業生涯的專業人士
• 希望掌握 SPSS 並提升資料分析技能的教職人員

學習目標

• 能更有自信的使用 SPSS分析任何類型的數值資料
• 能妥適運用各種統計分析功能，並正確解析分析結果
• 能具備獨立規劃研究之能力
• 能瞭解高品質期刊文章中的研究設計、執行過程與成果

課程介紹

本課程非常適用於社會科學領域中需進行學術論文寫作者。其內容幾乎涵蓋了一般論文中，運用結構方程模型時，所需用到的各種分析方式，諸如：多元常態性檢定、驗證性因素分析、收斂效度檢驗、區別效度檢驗、潛在變數的路徑分析、影響效果分解、模型修正、中介變數檢驗、多群組結構方程模型分析、干擾變數檢驗與測量恆等性檢驗等。而且課程中所有的範例都是實際論文的原始資料與分析結果，期盼讓讀者能身歷其境，融入研究之情境中。

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哪些人適合這堂課？

• 任何希望使用AMOS軟體，進行結構方程模型分析的人
• 碩士生、博士生
• 教授
• 資料分析師
• 研究方法學家
• 社會科學研究人員

學習目標

• 1. 利用AMOS軟體執行結構方程模型分析
• 2. 運用驗證性因素分析技術，檢測量表的信效度
• 3. 運用路徑分析技術，驗證構面間的因果關係
• 4. 運用Sobel Test，進行中介效果檢定
• 5. 運用Bootstrap技術，進行多重中介效果檢定
• 6. 運用多群組分析技術，進行干擾效果檢定
• 7. 理解與實作測量恆等性分析