Spss Essentials: Beginner To Advanced Analytics

SPSS Made Easy: A Beginner's Guide to Data Analysis

What you'll learn

How be an independent Researcher

The fundamentals of SPSS, including data entry, data manipulation, and descriptive statistics.

How to conduct inferential statistical tests, such as t-tests, chi-square tests, ANOVA. predictive models and interpret SPSS results

How to use Chat GPT and Google Bard in SPSS and advanced SPSS techniques, such as factor analysis, cluster analysis, and time series analysis.

How to use SPSS to build regression models

Requirements

No prior knowledge of SPSS or Statistics is required

Must have a copy of SPSS software to practise the steps taught in this course.

Description

SPSS Essentials: Beginner to Advanced Analytics is a comprehensive course designed to teach you how to use SPSS for data analysis at all levels. This course is perfect for beginners who have no prior experience with SPSS, as well as for those who want to brush up on their skills and learn more advanced techniques.In this course, you will learn how to:Import and manage data in SPSSCreate and edit variablesConduct descriptive statisticsPerform hypothesis testsConduct regression analysisCreate and interpret charts and graphsUse SPSS syntax to automate tasksUse of Google bard ai and Chat GPT for data analysis.Perform more advanced statistical analysis techniques, such as time series analysis, factor analysis, and structural equation modeling.You will also learn about the different types of data that SPSS can handle, as well as the different types of statistical tests that can be performed.This course is taught in a clear and concise manner, with plenty of examples and exercises to help you learn the material. By the end of this course, you will have the skills and knowledge you need to use SPSS to analyze your own data and make informed decisions, regardless of your level of experience.Who Should Take This Course?This course is ideal for:Students in any field who need to learn how to use SPSS for data analysisProfessionals who need to use SPSS for their jobAnyone who is interested in learning more about data analysis and statisticsPrerequisitesNo prior knowledge of SPSS is required. However, a basic understanding of statistics would be helpful.Course Materials Video lessons Exercise files ( All file and PDF Guide book Attach in Lecture 2 ) PDF Guide BOOKStudents will be assessed on their understanding of the course material through quizzes.Upon completion of the course, students will receive a certificate of completion which enhance their CV.

Overview

Section 1: Introduction to SPSS

Lecture 1 Overview of SPSS, its purpose, and installation

Lecture 2 Navigating the SPSS interface: Data Editor, Variable View, and Output Viewer

Section 2: Data Input and Management

Lecture 3 Data Input Methods

Lecture 4 Understanding Data Types and Defining Variables in Variable View

Lecture 5 Data Cleaning Techniques

Section 3: Data Exploration and Descriptive Statistics

Lecture 6 Normality Test in SPSS

Lecture 7 Calculating and interpreting descriptive statistics

Lecture 8 Data manipulation in SPSS

Lecture 9 Introduction to visualization techniques

Section 4: Hypothesis Testing

Lecture 10 Introduction to hypothesis testing and types of tests

Lecture 11 One-sample t-tests

Lecture 12 Paired T-test

Lecture 13 Chi-Square Test

Section 5: Analysis of Variance (ANOVA)

Lecture 14 One way ANOVA

Lecture 15 Two Way ANOVA

Section 6: Regression Analysis

Lecture 16 Simple linear regression

Lecture 17 Multiple regression and model building

Section 7: Advanced Data Analysis Techniques

Lecture 18 Factor analysis

Lecture 19 Cluster analysis for grouping data

Lecture 20 Survival analysis for time-to-event data

Section 8: SPSS Syntax and Automation

Lecture 21 Introduction to SPSS syntax

Lecture 22 Writing and executing basic syntax commands

Lecture 23 Creating and saving custom procedures with syntax

Section 9: Reporting and Interpretation

Lecture 24 Data Visualization with graphs in SPSS

Lecture 25 Interpreting and formatting SPSS output

Lecture 26 SPSS results transfer in MS word

Section 10: Used of Ai in SPSS Data Analysis

Lecture 27 AI techniques in combination with SPSS

Lecture 28 Chat GPT and Google bard for helping hand

Lecture 29 Hands on Practice on Chat GPT and Google

Section 11: Final with Quiz

Beginner learners who aim to be an independent researcher,Who want to be an independent researcher