SPSS Basics

SPSS Basics, available at $44.99, has an average rating of 4.8, with 28 lectures, based on 576 reviews, and has 12395 subscribers.

You will learn about manipulate data in SPSS visualize data using the most important types of charts compute the main statistical indicators build tables and cross tables check for normality detect the extreme values (outliers) perform the chi square test for association perform the independent-sample t test This course is ideal for individuals who are students and graduate students in statistics and social sciences (psychology, sociology, marketing etc.) or anyone who want to learn the basics of statistical analysis in SPSS It is particularly useful for students and graduate students in statistics and social sciences (psychology, sociology, marketing etc.) or anyone who want to learn the basics of statistical analysis in SPSS.

Enroll now: SPSS Basics

Summary

Title: SPSS Basics

Price: $44.99

Average Rating: 4.8

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

manipulate data in SPSS
visualize data using the most important types of charts
compute the main statistical indicators
build tables and cross tables
check for normality
detect the extreme values (outliers)
perform the chi square test for association
perform the independent-sample t test

Who Should Attend

students and graduate students in statistics and social sciences (psychology, sociology, marketing etc.)
anyone who want to learn the basics of statistical analysis in SPSS

Target Audiences

students and graduate students in statistics and social sciences (psychology, sociology, marketing etc.)
anyone who want to learn the basics of statistical analysis in SPSS

A friendly video course for anybody who wants to get the first notions of statistical analysis with SPSS.

If you are an absolute beginner and don’t know anything about SPSS, this course is for you. After completing it, you will know how to create an SPSS data set, how to work with your data (select cases, split files, weigh data etc.), how to summarize and visualize your data with charts and tables, how to compute the statistical indicators for your data series, and also how to perform a couple of statistical tests (the ch-square test for association and the independent samples t test).

In a word, you will have a solid idea about how SPSS works and what you can do with it.

All that’s required from you is basic statistics knowledge (this is not a Statistics 101 course).

This course is structured in 27 lectures, covering about 20 topics. For every topic I have prepared practical exercises, so you can consolidate your knowledge and form your skills. You can find the exercises in the PDF files attached to almost every lecture.

With this course you can master the basics of SPSS in a few days only (depending, of course, of your learning pace).

So… just press the enroll button to start learning now. 🙂

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Introduction

Chapter 2: Basic Operations With Data

Lecture 1: Working With SPSS Files

Lecture 2: Defining Variables

Lecture 3: Variable Recoding

Lecture 4: Dummy Variables

Lecture 5: Selecting Cases

Lecture 6: File Splitting

Lecture 7: Data Weighting

Chapter 3: Building Charts in SPSS

Lecture 1: Column Charts

Lecture 2: Line Charts

Lecture 3: Scatterplot Charts

Lecture 4: Boxplot Diagrams

Chapter 4: Simple Analysis Techniques

Lecture 1: The Frequencies Procedure

Lecture 2: The Descriptives Procedure

Lecture 3: The Explore Procedure

Lecture 4: The Means Procedure

Lecture 5: The Crosstabs Procedure

Chapter 5: Bonus Package 1: Assumption Checking

Lecture 1: Short Note About This Section

Lecture 2: Checking for Normality – Numerical Methods

Lecture 3: Detecting Outliers – Graphical Methods

Chapter 6: Bonus Package 2: More Advanced Analyses

Lecture 1: Short Note About This Section

Lecture 2: Chi Square For Association

Lecture 3: Chi Square For Association with Weighted Data

Lecture 4: Independent-Sample T Test – Introduction

Lecture 5: Independent-Sample T Test – Assumption Testing

Lecture 6: Independent-Sample T Test – Output Interpretation

Chapter 7: What's Next?

Lecture 1: Final Words

Chapter 8: Course Materials

Lecture 1: Download Links

Instructors

Bogdan Anastasiei
University Teacher and Consultant

Rating Distribution

1 stars: 6 votes
2 stars: 10 votes
3 stars: 58 votes
4 stars: 224 votes
5 stars: 278 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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