Learning IBM SPSS Statistics
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Learning IBM SPSS Statistics

Understand the basics of IBM SPSS Statistics to perform efficient data analysis with ease
0.0 (0 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.
0 students enrolled
Created by Packt Publishing
Last updated 7/2017
English
Current price: $10 Original price: $125 Discount: 92% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 3 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Generate reports based on performance parameters
  • Become familiar with the IBM SPSS Statistics User Interface
  • Get to know about the steps to analyzing data
  • Discover the reasons for summarizing Individual Variables
  • How to use the Frequencies and Descriptives Procedures
  • How to Use the Chart Builder to Create Pie Charts and Histograms
  • What are Inferential Statistics
View Curriculum
Requirements
  • A basic understanding of the statistical concepts is required for getting the best out of this.
Description

This video course consists of step-by-step software demonstrations geared to familiarize new users of IBM SPSS Statistics with this software. The first section focuses on what IBM SPSS Statistics is, on what it does, who uses it, and how it is used. The section then introduces new users to the IBM SPSS Statistics user interface so they can become familiar with the windows, menus, and dialog boxes that are part of the software. Finally, the first section discusses the steps to analyzing data and some of the typical analyses users might perform.

The second section focuses on summarizing individual variables. Specifically this section discuss some of the reasons users need to summarize variables, and which summary statistics are relevant given the type of data you are summarizing. This section also illustrates several procedures, such as the Frequencies and Descriptives procedures, which assist in providing summary statistics, and we will show how to obtain confidence intervals. Finally, the Chart Builder is introduced so that users can create pie charts, simple bar charts, and histograms.

The third and final section of this video course shows users how to perform and interpret the results of basic statistical analyses and graphical displays. Users will learn when to use different statistical techniques, how to set up different analyses, and how to interpret the results. The third section begins by introducing the idea of inferential statistics and hypothesis testing, and then moves on to discuss independent sample t-tests, crosstabs and chi-square tests, as well as correlations. In addition, visual displays are created so that users can better present their findings by showing error bar charts, bar charts with a mean, clustered bar charts, and scatterplots.

About the Author :

Jesus Salcedo has a Ph.D. in Psychometrics from Fordham University. He is an independent statistical consultant that has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.

Keith McCormick is a career long practitioner of predictive analytics and data science. He has engaged in statistical modeling, data mining, and mentoring others in the area for more than 20 years. He has a particular expertise in helping organizations perform their first predictive analytics project or build their first predictive analytics practice, and has done so in a variety of industries including
healthcare, banking, telecommunications, non-profit, direct mail, pharmaceuticals, and retail. Keith is also an established author and
speaker with four books in print, or under contract. Although his consulting work is not restricted to any one tool, his writing and
speaking has made him particularly well known in the IBM SPSS Statistics and IBM SPSS Modeler communities.

Who is the target audience?
  • If you are a student, academic researcher, analyst or a statisticians who wants to learn the basics of descriptive statistical analysis using IBM SPSS Statistics, this course is for you.
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Curriculum For This Course
24 Lectures
02:58:29
+
An Introduction to IBM SPSS Statistics
6 Lectures 48:54
This video provides an overview of the entire course.
Preview 04:30

In this video, we explain what IBM SPSS statistics is, what it does, and who uses it.

What is IBM SPSS Statistics?
04:16

In this video, the user interface of IBM SPSS Statistics is explained.
IBM SPSS Statics User Interface
11:37

In this video, we will continue to introduce the user interface focusing on the output viewer and syntax editor.

Output Viewer and Syntax Editor
06:37

In this video, you’ll study in depth about the basic steps to analyze data.
Steps to Analyzing Data
08:27

In this video, we will look at the typical analyses.
Typical Analyses
13:27
+
Summarizing Individual Variables
9 Lectures 52:46

In this video, we will explain some of the reasons why one would summarize variables.

Preview 05:17

In this video, we’ll talk about how to do frequencies for categorical variables.
Frequencies for Categorical Variables
06:09

In this video, we are going to overview the features of the Chart Builder.
Chart Builder Overview
07:05

In this video, we are going to talk about Pie Charts.
Pie Charts
04:25

In this video, we’ll talk about how to create a simple bar chart.
Simple Bar Charts
02:41

In this video, we’ll study in depth about frequencies for scale variables.

Frequencies for Scale Variables
05:32

In this video, we are going to discuss Histograms.
Histograms
04:18

In this video, we are going to discuss about Confidence Intervals for Scale Variables.
Confidence Intervals for Scale Variables
07:57

In this video, we’ll talk about how to use the descriptives procedure.

Using the Descriptives Procedure
09:22
+
Describing Relationships Between Variables
9 Lectures 01:16:49
We’ll discuss Inferential Statistics.
Preview 17:27

In this video, we’ll talk about Error Bar Charts.
Error Bar Charts
04:57

In this video, we are going to talk about T-tests.

T-Tests
05:32

In this video, we are going to build a Bar Chart that has a Mean.

Bar Chart with a Mean
04:01

In this video, we’ll explore the crosstab procedure.
Crosstabs
11:03

In this video, we will discuss how to use the Chi-Square test.
Chi-Square
12:58

In this video, we are going to talk about Clustered Bar Charts.
Clustered Bar Charts
05:09

In this video, we are going to talk about Correlation.

Correlation
07:40

In this video, we will discuss more about the research objectives.
Scatterplots
08:02
About the Instructor
Packt Publishing
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Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

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