Survey Data Analytics using SPSS

Survey Data Analytics using SPSS, available at $39.99, has an average rating of 4.6, with 35 lectures, based on 12 reviews, and has 64 subscribers.

You will learn about Basics of Statistics and Measurement Scales Differentiate between parametric and nonparametric statistical tests Know which statistical test to use on what measurement scale, data type Thorough knowledge of SPSS software Expertise with different nonparametric statistical tests on Single samples, independent samples, related samples Expertise with k independent samples, k related samples analyses, and analysis of association This course is ideal for individuals who are Statistics students or Researchers or Business Management Students or Interest in Data Analysis It is particularly useful for Statistics students or Researchers or Business Management Students or Interest in Data Analysis.

Enroll now: Survey Data Analytics using SPSS

Summary

Title: Survey Data Analytics using SPSS

Price: $39.99

Average Rating: 4.6

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

Basics of Statistics and Measurement Scales
Differentiate between parametric and nonparametric statistical tests
Know which statistical test to use on what measurement scale, data type
Thorough knowledge of SPSS software
Expertise with different nonparametric statistical tests on Single samples, independent samples, related samples
Expertise with k independent samples, k related samples analyses, and analysis of association

Who Should Attend

Statistics students
Researchers
Business Management Students
Interest in Data Analysis

Target Audiences

Statistics students
Researchers
Business Management Students
Interest in Data Analysis

Are you thinking to pursue career in data analytics, then this is the right course for you. This course begins with basic lectures on statistical measures and tests, introduces SPSS software to you. Gradually you will be taught how to draw graphs, and charts using SPSS, and analyze data using descriptive statistics. You will also learn how to edit SPSS graphs, charts, and tables in MS Word and MS excel.

Once you are familiar with these basic things, then the course will introduce analyses of single samples drawn from different measurement scales. Next, you will learn how to analyze two data from two independent samples and two related samples.

Next, you will be introduced to analyses of K independent samples, and K multiple samples. At the end you will learn how to find out association or agreement between two and multiple variables.

In all, this course has 9 sections and 35 video lectures. First, 14 lectures are basics, and remaining 21 lectures are on analyzing data gathered using questionnaire or survey instrument with the help of nonparametric statistical tests.

Each of these nonparametric statistical tests are explained with real world data. The data sheets of each lecture is also included in the lecture. After watching the lecture you can practice and gain hands on experience.

We are confident that if you learn this course perfectly you will have great career in data analytics arena.

Course Curriculum

Chapter 1: Introduction to Measurement Scales and SPSS Software

Lecture 1: Introduction to Survey Data Analytics using SPSS

Lecture 2: Introduction to SPSS Data Editor Window

Lecture 3: Introduction to measurement instruments with real questionnaires

Lecture 4: Defining variables in SPSS

Lecture 5: Entering data in SPSS

Lecture 6: Editing data in SPSS

Chapter 2: Introduction to Statistical Tests

Lecture 1: Introduction to Parametric and Non-Parametric tests

Lecture 2: Measurements Instruments and Statistical Tests

Chapter 3: Producing and Editing Graphs and Tables

Lecture 1: Producing Graphs and Charts in SPSS

Lecture 2: Editing SPSS Graphs and Charts in MS-Word

Lecture 3: Frequencies in SPSS

Lecture 4: Editing SPSS Frequencies in Excel and MS-Word

Lecture 5: Crosstabulations in SPSS

Lecture 6: Editing SPSS crosstabulations in Excel and MS-Word

Chapter 4: Analyses of Single Samples

Lecture 1: One-Sample Sign Test

Lecture 2: Wilcoxon Signed-Ranks Test

Lecture 3: One–Sample Runs Test for Randomness

Lecture 4: Pearson Chi-Square Test for Goodness of Fit

Lecture 5: Kolmogorov-Smirnov One-Sample Test

Chapter 5: Analyses of Two Independent Samples

Lecture 1: Chi-Squared Test for Two Samples

Lecture 2: Fisher's Exact Test for 2 * 2 Tables

Lecture 3: Median Test

Lecture 4: Wilcoxon-Mann-Whitney U Test

Lecture 5: Kolmogorov-Smirnov Two-Sample Test

Chapter 6: Analyses of Two Dependent Samples

Lecture 1: McNemar Change Test

Lecture 2: Sign Test for Two Related Samples

Lecture 3: Wilcoxon Signed Rank Test

Chapter 7: Analyses of Multiple Independent Samples

Lecture 1: Kruskal-Wallis Ranks Test for K Independent Samples

Lecture 2: Extended Median Test for K Independent Samples

Lecture 3: Pearson Chi-Square Test for K Independent Samples

Chapter 8: Analyses of Multiple Related Samples

Lecture 1: Cochran Q Test

Lecture 2: Friedman Analysis of Variance by Ranks Test

Lecture 3: Kendall's Coefficient of Concordance (W)

Chapter 9: Analysis of Data to Determine Association and Agreement

Lecture 1: Contingency Coefficient

Lecture 2: Spearman Rank-Order Correlation Coefficient

Instructors

Yelamanchili Rama Krishna
Professor, ICFAI Business School (IBS-Hyd), IFHE, University

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3 stars: 1 votes
4 stars: 6 votes
5 stars: 5 votes

Frequently Asked Questions

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