IBM SPSS: Statistical Data Analysis Made Easy
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IBM SPSS: Statistical Data Analysis Made Easy

Learn how to perform statistical tests with IBM SPSS and interpret the results.
3.7 (3 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
14 students enrolled
Last updated 3/2016
English
Current price: $10 Original price: $50 Discount: 80% off
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Includes:
  • 1.5 hours on-demand video
  • 33 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • You would be able to create SPSS file, define variables, enter data, run descriptive statistics, create graphs, find out relationship between variables, test the linearity and normality of the data, run hypothesis testing and interpret the results. With this knowledge you can run data analysis in short time.
View Curriculum
Requirements
  • Download and install IBM SPSS on your computer / laptop to practice the lessons. Each lesson has .xlsx data file. You need to import this file into SPSS by directly opening it in SPSS editor.
Description

IBM SPSS Statistics is most widely used statistical analysis software in social sciences and business research. From simple statistical analyses like descriptive statistics, graphs, cross tabulation, correlation, regression analysis to hypothesis testing techniques like t-test, chi-square, ANOVA, and multivariate analysis like factor analysis, cluster analysis, conjoint analysis, Multiple ANOVA, Multiple Regression, Hierarchical Linear Models can be calculated with few clicks. At the same time tests of normality like K-S test, Shapiro-Wilk test, Levene’s Test of Homogeneity of Variances, Fishers Least Significant Difference (LSD) test, Cronbach’s scale reliability and many other complex statistical techniques can be calculated with ease.

In this course we cover, univariate, Bivariate statistical techniques and hypothesis testing tools like Chi-Square, one sample t-test, paired t-test, independent t-test, and ANOVA. The course also covers normality tests, test of homogeneity, and multiple comparison tests. All the data files used in this course are real time business data. This course has 18 chapters in all and covers intermediate statistics.

After attending this course you would be able to create SPSS file, define variables, enter data, run descriptive statistics, create graphs, find out relationship between variables, test the linearity and normality of the data, run hypothesis testing and interpret the results. With this knowledge you can run data analysis in short time.

Enroll now, and enhance your career opportunities.

Who is the target audience?
  • This Statistical Data Analysis with IBM SPSS course is for those who need to analyze data and write reports. This course will help you to perform statistics data analysis using spss
  • This course is ideal for social sciences, statistics, and business management professional and students
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Curriculum For This Course
20 Lectures
01:44:05
+
Create IBM SPSS Files, Enter Data,Import Data, and Edit
5 Lectures 22:57
Introduction to IBM SPSS windows
04:20

An overview of SPSS Data Editors
04:39

Define variables and enter data in IBM SPSS Data Editor Window
06:29

Insert Delete variables and cases in SPSS Data Editor
02:55

How to Import data from external database files to SPSS
04:34
+
IBM SPSS Descriptive Statistics and Normality Tests
6 Lectures 29:54
How to compute Frequency tables, draw Histogram and edit output in SPSS
05:29

How to calculate Descriptive Statistics on multiple variables in SPSS
04:52


How to test the Normality of Data using K-S test and Shapiro Wilk Test
03:41

How to Export SPSS data analysis output and edit it in MS-Word
05:52

Sort, Split and Group File in SPSS to get group / category wise analysis
03:56
+
Bivariate Data Analysis - Linear Relationships
2 Lectures 13:08
Calculating bivariate scatter plot and Correlation using IBM SPSS
06:27

How to run Simple Linear Regression analysis and interpret the results in SPSS
06:41
+
Hypothesis Testing with IBM SPSS
4 Lectures 24:20

Hypothesis testing with Paired Samples t-test in SPSS
04:14

How to run The independent samples t test and interpret the results
07:46

Hypothesis tesing with One Way Analysis of Variance (ANOVA)
07:20
+
Non-Parametric Hypothesis Testing with IBM SPSS
1 Lecture 07:59
Chi-square test of Independence
07:59
About the Instructor
Prof. Rama Krishna Yelamanchili
3.4 Average rating
4 Reviews
48 Students
2 Courses
Professor of Quants at RK Business School, Hyderabad, India

I am teaching Quants for Decision Making for over 15 years. As the speed and accuracy plays pivotal role in data analysis and decision making, most of my teaching relies on Statistical Softwares (Excel, Data Analysis Toolpak, SPSS, E-Views, StatPro, etc.). I fuse concepts with computers with ease. After attending my classes students are able to analyze the data in short time, and spend lot of time on interpreting the results and drawing inferences to make promising decision.