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SPSS Essentials: Statistics made easy
Rating: 4.5 out of 5(253 ratings)
1,019 students

SPSS Essentials: Statistics made easy

Master statistical tests without needing to learn complex equations. Learn how to analyse your research data with SPSS.
Created byTendayi Viki
Last updated 10/2021
English
English [Auto],

What you'll learn

  • By the end of the course you will be able to:
  • Decide on the right analysis to perform on your data
  • Understand how the SPSS program works.
  • Input data into SPSS and save it.
  • Select the appropriate data entry method for the type of data you have.
  • Select the appropriate descriptive analysis technique for the type of data you have and the questions you are trying to answer.
  • Select the appropriate inferential analysis technique for the type of data you have and the questions you are trying to answer
  • Perform the analyses using SPSS.
  • Interpret the data output.

Course content

6 sections • 24 lectures • 2h 31m total length

  • Why take this course?2:05

    Below is a folder that contains all the SPSS data files that we will be using later on during the course. You need SPSS to be able to open these files. Once you have unzipped the folder and downloaded the files you can then use them during the approprate lecture.

  • Let's goof around with SPSS6:51

    One of the requirements for this course is that you have a licensed version of SPSS on your own computer. Before taking part in this lecture, you need to make sure that you do have SPSS open on your desktop or laptop. If you don't currently have a licensed version of SPSS, you can download a trial version here: http://www-03.ibm.com/software/products/en/spss-stats-base

Requirements

  • You will need your own licensed copy of SPSS. If you don't currently have one, you can download a trial version on the IBM website below:
  • http://www-03.ibm.com/software/products/en/spss-stats-base

Description

Udemy is changing its pricing structure on April 4th when this course will increase to $20. Save money by buying it for $9 now.

How do you feel about statistics? Are you afraid you will pick the wrong test? Or make a mistake in your calculations and misinterpret your data? In short: are you afraid of stats?

If so, you've come to the right place! I'm here to demonstrate that your fear of statistics is unfounded.

Despite what many people think, you don't need to learn complex mathematical formulae to perform statistical analyses. You just need to learn two things.

  • First, you need to know how to choose the right statistical test.
  • Then, you need to know how to do the analysis in computer software like SPSS so you can draw conclusions from your data.

It's that easy!

This course will show you how to pick the right statistical test by answering four simple questions about your data and your research methodology. I call these the building blocks of statistical analysis, and it involves no maths at all.

Then you'll learn how to use SPSS to do the hard work for you. Even if you've never used SPSS, I'll help you get comfortable with the program. You'll learn how to open SPSS, enter data into the program and save it. Next you'll learn how to use SPSS to obtain descriptive statistics such as the mean, median, mode and frequencies. Then you'll discover how to use SPSS to calculate inferential statistics such as the t-test, correlation, Chi-square, ANOVA and regression.

The ability to perform quantitative data analysis is becoming an increasingly important skill for researchers to possess. Adding these skills to your CV will make you more employable and give you the confidence you need to start analysing your data today.

Who this course is for:

  • This course is for you if you are a student that is struggling with learning statistics, or if you are a student finding it difficult to analyse your dissertation data.
  • This course is also for you if you are a researcher involved in analysing data within your organisation. If you are already involved in quantitative research, you will benefit by learning new quantitative data analysis skills. If you are involved in qualitative research, you will expand your skills portfolio to include quantitative techniques.
  • The material will also be valuable for consultants involved in assignments that produce quantitative data (e.g. usability tests, surveys and focus groups).

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