Quantitative Data Analysis using SPSS

Quantitative Data Analysis using SPSS, available at $44.99, has an average rating of 4.7, with 28 lectures, based on 17 reviews, and has 55 subscribers.

You will learn about Basic to advanced statistics IBM SPSS software Statistical analysis in SPSS Quantitative business statistics This course is ideal for individuals who are Statistics students or MBA & BBA students or Researchers or Looking for career in Data Analytics It is particularly useful for Statistics students or MBA & BBA students or Researchers or Looking for career in Data Analytics.

Enroll now: Quantitative Data Analysis using SPSS

Summary

Title: Quantitative Data Analysis using SPSS

Price: $44.99

Average Rating: 4.7

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

Basic to advanced statistics
IBM SPSS software
Statistical analysis in SPSS
Quantitative business statistics

Who Should Attend

Statistics students
MBA & BBA students
Researchers
Looking for career in Data Analytics

Target Audiences

Statistics students
MBA & BBA students
Researchers
Looking for career in Data Analytics

This course starts with introduction to basic concepts of statistics with primary focus on quantitative statistics methods. This is the right course for all those who are interested to churn large volume of quantitative data to derive meaningful information.

Next, we introduce you the award-winning statistical software i.e., IBM SPSS. You will learn from basics to most advanced procedures of IBM SPSS.

Then, we teach you different techniques of quantitative statistical methods. These techniques will help you analyze univariate, bivariate and multivariate statistical analysis tools.

We teach all these methods / procedures with the help of SPSS. The advantage of SPSS is that you don’t need to write any complex programs or codes to run complicated statistical procedures. Instead of focusing on coding you can focus on defining the tests, run the analysis, and interpret the results.

We also provide the datasets for you to practice the concepts learned from our lectures.

Using the datasets provided and by following video lectures you will learn how to detect univariate outliers, multivariate outliers, t-tests (one sample, related, independent), bivariate analysis like correlation, zero-order correlation, simple linear regression, then multivariate analysis like multiple linear regression. In addition, you will learn bivariate logistic regression, multivariate logistic regression, and finally you will learn analysis of variance (ANOVA).

Course Curriculum

Chapter 1: Introduction to Measurement Scales & SPSS Software

Lecture 1: Introduction to SPSS Data Editor

Lecture 2: Introduction to measurement scales

Lecture 3: Defining variables in SPSS

Lecture 4: Entering data in SPSS

Lecture 5: Editing Data in SPSS: Rename, Recode, Compute

Chapter 2: Introduction to Statistical Tests

Lecture 1: Parametric Vs Nonparametric Tests

Lecture 2: Measurement Scales, Data Types, and Statistical Tests

Chapter 3: Producing and Editing Graphs and Tables in SPSS

Lecture 1: Draw graphs and charts using SPSS

Lecture 2: Edit SPSS graphs and charts in MS Word

Lecture 3: Create frequency distribution tables single variable and multiple variables

Lecture 4: Editing SPSS frequency distribution table in Excel and Word

Lecture 5: Cross Tabulations in SPSS

Lecture 6: Edit SPSS crosstabs in Excel and Word

Chapter 4: Testing Quantitative Data Assumptions

Lecture 1: Detecting Univariate Outliers in Data Scores using SPSS

Lecture 2: Detecting Multivariate Outliers using SPSS

Lecture 3: Assessing Distribution Shape in SPSS

Lecture 4: Transforming non-normality data in SPSS

Lecture 5: Multicollinearity Analysis using SPSS

Chapter 5: t Test

Lecture 1: One Sample t Test in SPSS

Lecture 2: Independent Samples t Test in SPSS

Lecture 3: Paired Samples t Test in SPSS

Chapter 6: Correlation

Lecture 1: Bivariate Correlation and Zero Order Correlation in SPSS

Lecture 2: Partial Correlation in SPSS

Chapter 7: Linear Regression

Lecture 1: Simple Linear Regression in SPSS

Lecture 2: Multiple Linear Regression using SPSS

Chapter 8: Logistic Regression

Lecture 1: Binary Logistic Regression in SPSS

Lecture 2: Multinomial Logistic Regression in SPSS

Chapter 9: Analysis of Variance (ANOVA)

Lecture 1: One Way Analysis of Variance (ANOVA) in SPSS

Instructors

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

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 7 votes
5 stars: 8 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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