Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
SPSS for Data Analysis and Basic Statistics
Rating: 4.3 out of 5(3 ratings)
7 students

SPSS for Data Analysis and Basic Statistics

Learn how to use SPSS to do basic statistics and all the concepts needed to carry out sophisticated statistical analysis
Created bySphokazi Novuka
Last updated 1/2025
English

What you'll learn

  • Basic Statistical Analysis with SPSS
  • Identify different data types, learn the basics of descriptive and inferential statistics
  • Learn how to use SPSS to fully analyse data, given a pre-defined dataset
  • Apply theoretical concepts in data analysis, using SPSS

Course content

5 sections • 7 lectures • 2h 59m total length

  • Descriptive Statistics with SPSS21:25

    In this section, students will learn to identify and apply measures of central tendency, such as mean, median, and mode, as well as measures of spread, including range, variance, and standard deviation. Using SPSS, they will gain hands-on experience manipulating data to calculate these statistics effectively. By understanding these fundamental concepts, students will enhance their ability to analyze and interpret data distributions, laying a strong foundation for advanced data analysis.

  • Measures of Dispersion36:11
  • Quiz 1

Requirements

  • No prior knowledge or statistics is required.

Description

Dive into the world of statistical analysis with our engaging SPSS course! In just 4.5 hours, you’ll gain a solid understanding of fundamental concepts, including descriptive statistics and an introduction to inferential statistics.

No prior knowledge of statistics or SPSS is required—if you know the basics, you're all set! This course is the first in a three-part series, specifically designed to introduce you to essential statistical concepts in a clear and accessible way.

You will learn to perform descriptive statistics, including measures of central tendency (mean, median, mode) and variability (e.g., standard deviation). Plus, we provide step-by-step instructions on how to download data files used in the examples and quizzes from SPSS sample files.

Looking ahead, the second course in this series will expand your knowledge with more advanced concepts, including chi-square tests, t-tests, and other inferential statistics techniques.

This is by and large a practical course with very little jargon. Theory os of course important in understanding the practical aspect of the course, but to ease the learning experience, uncessary jargon has been kept at a minimum. That on top of the lessons being short enough to encourage learning and keep you motivated.

Whether you're a student, a researcher, or someone passionate about data analysis, this course is perfect for you. Join us and start building your statistical skills today!


Who this course is for:

  • Anyone interested in data analysis and would like exposure to an easy to use yet marketable software, SPSS

Report abuse