Learn how to use SPSS to do basic statistics and all the concepts needed to carry out sophisticated statistical analysis

What you'll learn

Learn the basics of the SPSS software program - how to run analyses, and interpret output

Gain proficiency in how to produce and interpret a number of different descriptive statistics in SPSS

Understand the basics of inferential statistics

Detect outliers in a data series (with numeric and graphic methods)

Requirements

No pre-requirements needed. Students must have access to SPSS version 28 or above.

Description

This course addresses the common challenge of lengthy courses that can be demotivating and hinder learning. Designed to be simple, short, and engaging, it encourages participation, maintains interest, and motivates students to progress to more advanced topics. This is the first of a three-part series.In this series, we will utilize SPSS to thoroughly explore fundamental concepts in statistics. Topics covered include key aspects of descriptive statistics, identifying different data types and measurement scales, and detecting outliers. Each section begins with a comprehensive theoretical foundation, followed by a step-by-step guided procedure in SPSS, concluding with an analysis and interpretation of the output.While statistics is commonly used in psychology, medicine, and other scientific disciplines, it has largely stayed within the realm of academia in other areas. However, the growing need to comprehend data and leverage it for impactful decision-making has brought statistics to the forefront of data analysis and data science. It is now essential in fields such as quantitative market research and indeed any field where understanding statistical concepts and interpreting results is needed. Regardless of the field, the basic concepts are the same.IBM SPSS is one of the simplest and most user-friendly software packages for learning statistics. Additionally, a search for job opportunities that require SPSS skills yields hundreds of results, highlighting its continued demand in the job market.Whether you need to learn statistics as part of your curriculum, are starting your journey in data analysis or data science, or require knowledge for research purposes, your journey begins here.

Overview

Section 1: Introduction

Lecture 1 Measures of Central Tendency

Section 2: Measures of Dispersion

Lecture 2 Lesson 2

Section 3: Data Types

Lecture 3 Lecture 3: Data Types

Section 4: Research Question and Further Analysis

Lecture 4 Lesson 4: Split File

Lecture 5 Lecture 5: Custom tables

Section 5: Introduction to Inferential Statistics

Lecture 6 Lecture 6: Probability and the Normal Distribution Curve

Lecture 7 Lecture 7: Correlation

This course is designed for anyone interested in learning statistics, whether for school, college, university, or to gain a foundational understanding of data analysis and data science.