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40,000
SPSS Training – Data Management & Statistical Analysis Using SPSS
This Data Management and Statistical Analysis using SPSS Training Course will introduce you to the uses and functions of the statistical software SPSS. It covers data entry and editing, and the basics of analyses and graphs. This SPSS course will go through statistical methods with further emphasis on data management. Firstly familiarising participants with SPSS, and progressing from data entry and presentation, to one and two sample tests, one-way ANOVA and simple linear regression.
SPSS Course Audience
The training courses outlined below are designed for those who need to perform data or statistical analysis using SPSS for Windows. These are hands-on computer based courses. Examples are taken from medical and health related research but are not of a specialised nature. These sessions are aimed at participants from any subject area.
Course suitable for those with little or no experience of SPSS, or those who want a refresher. A basic knowledge of statistics will be helpful.
Learning Outcomes
By the end of this course you should be able to:
Read-in, enter, organise, and save data in a suitable way
Calculate/recode variables and prepare data for analysis
Conduct descriptive and basic inferential statistics
Be familiar with SPSS presentation of statistical output
Course Content
Module 1: Introduction to SPSS
Overview of SPSS
Installing and setting up SPSS
SPSS interface: menus, toolbars, and navigation
Creating and saving SPSS files
Importing data from various sources (Excel, CSV, databases)
Module 2: Data Management
Defining variables and value labels
Data entry and editing
Data transformation: recoding, computing new variables
Handling missing values
Sorting and filtering data
Module 3: Descriptive Statistics (3 hours)
Measures of central tendency (mean, median, mode)
Measures of dispersion (range, variance, standard deviation)
Frequency distributions
Cross-tabulation
Visualizing data: charts and graphs (histograms, bar charts, pie charts)
Module 4: Inferential Statistics
Probability theory basics
Hypothesis testing: null and alternative hypotheses
Confidence intervals
T-tests: independent samples, paired samples
ANOVA (Analysis of Variance)
Module 5: Regression Analysis
Introduction to regression analysis
Simple linear regression
Multiple regression
Logistic regression
Interpreting regression output
Module 6: Advanced Statistical Techniques
Factor analysis
Cluster analysis
Non-parametric tests
Time series analysis
Career Path
Data Analyst: Use SPSS to manage and analyze data, providing insights and recommendations.
Market Researcher: Conduct surveys and analyze market trends to inform business decisions.
Academic Researcher: Utilize SPSS for research projects, thesis work, and publications.
Healthcare Analyst: Analyze medical data to improve patient outcomes and healthcare services.
Business Analyst: Use statistical analysis to support strategic decision-making in organizations.
International student Fee : 350$ | 1,300 SAR | 1,300 AED
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