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Statistics / Data Analysis in SPSS: Inferential Statistics (Udemy.com)

Increase Your Data Analytic Skills – Highly Valued And Sought After By Employers

Created by: Quantitative Specialists

Last updated November 2016

Our take

Based on the ratings of 2,114 students, a sample of their written reviews and the syllabus, as the course stood in November 2016. No course pays to be reviewed.

The course is a 4.8 hour walk through the standard inferential tests in SPSS, taught by Quantitative Specialists, a team founded by a university instructor with over 15 years of teaching statistics. The syllabus shows 32 lectures in 8 sections: three t tests, ANOVA (the longest block at 80 minutes), correlation and regression, chi-square, and a short bonus on data management. It also covers effect sizes, confidence intervals and writing results in APA format. It suits people who have SPSS open and need to know which test to run and how to read the output.

Reviewers keep coming back to clarity. Of 2,114 ratings averaging 4.7, more than 1,100 are five stars, and the praise is for a clear, well-paced teaching voice and a structure that does not overwhelm. A psychology student called it a match for the tests their field uses. One reviewer who says they struggle with numbers followed along fine. The complaints are fewer but real. One reviewer found it too advanced for a true beginner, another says the instructor never answers questions, and a third says the resource files may need re-uploading because of format.

The biggest caveat is age. The last update was November 2016, so screens may look dated next to a current SPSS version. It is also short, with one quiz and no practice tests, so reinforcement is up to the student. As a quick tour of the standard tests it is a solid pick. For deeper theory, pair it with a textbook or a stats class. One reviewer took the instructor's descriptive statistics course first, which looks like a sensible order.

Best forPsychology or social science students who need to run and read the standard inferential tests in SPSS, fast.
Skip it ifYou want an instructor who answers questions, or anything beyond the basic tests, such as advanced modeling.

Pros

  • Covers t tests, ANOVA, correlation, regression and chi-square in about 4.8 hours
  • Reviewers praise the clear pace and plain explanations, even one who feared numbers
  • Teaches how to read SPSS output tables and write results in APA format
  • Rated 4.7 from 2,114 reviews, with over 1,100 of them five stars

Cons

  • Last updated in 2016, so the SPSS screens may look dated
  • Reviewers say the instructor does not answer questions in the Q&A
  • One reviewer says it assumes prior stats and SPSS knowledge despite the all levels tag
This course is really helpful. Very easy to follow.
Erron C. Medina, a student

Listed for all levels, but reviewers split: it works best with a basic stats class behind you and SPSS installed.

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What you will learn

  • In this course, you will gain proficiency in how to analyze a number of statistical procedures in SPSS.
  • You will learn how to interpret the output of a number of different statistical tests
  • Learn how to write the results of statistical analyses using APA format

Course content

8 sections · 32 lectures · 4.9 hours of video 1 quiz

  1. 1One Sample t Test3 lectures · 16 min
  2. 2Independent Samples t Test4 lectures · 28 min
  3. 3Dependent Samples t Test3 lectures · 1 quiz · 20 min
  4. 4ANOVA - Analysis of Variance 1 free preview8 lectures · 1.3 hours
  5. 5Correlation and Regression 1 free preview4 lectures · 52 min
  6. 6Chi-Square4 lectures · 55 min
  7. 7Bonus Material - Data Management in SPSS 1 free preview3 lectures · 16 min
  8. 8Conclusion1 lecture · 3 min

Who it is for

The instructor says it suits

  • Students seeking help with SPSS, especially how to analyze and interpret the results of statistical analyses
  • Professionals desiring to augment their statistical skills
  • Anyone seeking to increase their data analytic skills

What you need before you start

  • Introduction to statistics course (either currently taking or already have completed) is recommended but not absolutely necessary
  • Access to IBM SPSS Statistical software (strongly recommended)

How it compares

Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:

  • Rating4.7 out of 5higher than 91% of them
  • Reviews2,114#94 of 372 by number of reviews
  • Length4.8 hourslonger than 50% of them
  • Last updatedNovember 2016earlier than 97% of them

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Course Description

November, 2019. 

Join more than 1,000 students and get instant access to this best-selling content - enroll today!

Get marketable and highly sought after skills in this course that will substantially increase your knowledge of data analytics, with a focus in the area of significance testing, an important tool for A/B testing and product assessment.

Many tests covered, including three different t tests, two ANOVAs, post hoc tests, chi-square tests (great for A/B testing), correlation, and regression. Database management also covered!

Two in-depth examples provided of each test for additional practice.

This course is great for professionals, as it provides step by step instruction of tests with clear and accurate explanations. Get ahead of the competition and make these tests important parts of your data analytic toolkit!

Students will also have the tools needed to succeed in their statistics and experimental design courses.

Data Analytics is an rapidly growing area in high demand (e.g., McKinsey)

Statistics play a key role in the process of making sound business decisions that will generate higher profits. Without statistics, it's difficult to determine what your target audience wants and needs. 

  Inferential statistics, in particular, help you understand a population's needs better so that you can provide attractive products and services. 

  This course is designed for business professionals who want to know how to analyze data. You'll learn how to use IBM SPSS to draw accurate conclusions on your research and make decisions that will benefit your customers and your bottom line. 

  Use Tests in SPSS to Correctly Analyze Inferential Statistics 

  • Use the One Sample t Test to Draw Conclusions about a Population

  • Understand ANOVA and the Chi Square

  • Master Correlation and Regression

  • Learn Data Management Techniques

  Analyze Research Results Accurately to Make Better Business Decisions 

  With SPSS, you can analyze data to make the right business decisions for your customer base. And by understanding how to use inferential statistics, you can draw accurate conclusions about a large group of people, based on research conducted on a sample of that population. 

  This easy-to-follow course, which contains illustrative examples throughout, will show you how to use tests to assess if the results of your research are statistically significant. 

  You'll be able to determine the appropriate statistical test to use for a particular data set, and you'll know how to understand, calculate, and interpret effect sizes and confidence intervals. 

  You'll even know how to write the results of statistical analyses in APA format, one of the most popular and accepted formats for presenting the results of statistical analyses, which you can successfully adapt to other formats as needed. 

  Contents and Overview 

  This course begins with a brief introduction before diving right into the One Sample t Test, Independent Samples t Test, and Dependent Samples t Test. You'll use these tests to analyze differences and similarities between sample groups in a population. This will help you determine if you need to change your business plan for certain markets of consumers. 

  Next, you'll tackle how to use ANOVA (Analysis of Variance), including Post-hoc Tests and Levene's Equal Variance Test. These tests will also help you determine what drives consumer decisions and behaviors between different groups. 

  When ready, you'll master correlation and regression, as well as the chi-square. As with all previous sections, you'll see illustrations of how to analyze a statistical test, and you'll access additional examples for more practice. 

  Finally, you'll learn about data management in SPSS, including sorting and adding variables. 

  By the end of this course, you'll be substantially more confident in both IBM SPSS and statistics. You'll know how to use data to come to the right conclusions about your market. 

  By understanding how to use inferential statistics, you'll be able to identify consumer needs and come up with products and/or services that will address those needs effectively. 

Join the over 1,000 students who have taken this best-selling course - enroll today!

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Instructor Details

Quantitative Specialists

Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work!

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Reviews

4.7

2,114 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Amina Ivojević on 1/15/2026

At first, I thought it would be too difficult for me to understand the course since I struggle a lot when it comes to numbers in general. However, after starting the course and all throughout it, I understood the material without any problems and even attempted doing the work myself just to make sure I understood it properly. It's beginner friendly and easy to learn and I definitely recommend this course if you want to learn the basics.

By Durga Kalyani Musunuri on 6/17/2023

I am a psychology student and was looking for an introductory course to SPSS that highlights all the important tests that are run in the software which are relevant for my field. I found this course to be a perfect match as it covers all the basic topics with numerous examples and clarification

By Mariela Nonisa on 10/23/2020

Great

By Lalitaporn Noytanom on 10/22/2020

yes

By Marta Citarella on 10/20/2020

Ottimo

By Peter Young on 9/29/2020

Teacher was very good at putting things into simple terms, as well as drilling in information into your brain using a couple practical examples for every type of scenario. There were a few videos in the course that could be more thoroughly edited (as in, the instructor forgot to take out some portions of the video that he started over and re-recorded a few seconds later), but that won't be affecting my score for this course as the lack of video edits were minimal. I am still overall quite satisfied with the course!

By Sharanya Revikrishnan on 9/21/2020

Well structured, well taught. Good that you give 2 examples for each test so it makes our understanding better. I was parallelly doing the examples on SPSS which I totally recommend.

By Ebenezer Tham Mensah on 9/20/2020

I liked the fundamentals. I hoped to see more practical examples and exercises to practice with.

By Theboral on 9/14/2020

Really useful

By Adamu Kasa on 9/5/2020

The content of this course far exceeded my expectations. It is WOW!

By Natalia Ojeda on 8/24/2020

I liked this course. Not only due to the easy-to-understand, step-by-step explanation on how to use the SPSS software but because of the detailed explanation of the statistical concepts. I finished my undergrad about 3 years ago and I will start grad school soon, and I honestly had close to no recollection of all these statistical concepts. I hope I get to put my newly-acquired SPSS knowledge into research project all through my graduate program.

By Aloke Chakraborty on 8/18/2020

This is really a good online course and i love it. Only problem is the words are not visible on the screen and sometimes, sounds are missing. Otherwise, it is great course.

Showing 12 of 156 reviews

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Overall Score : 94 / 100