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Introduction to IBM SPSS Statistics Training Course
Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.
Course Overview
No summary details available for this course.
Course Overview
The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, its suitable for projects of all sizes and levels of complexity, and can help you and your organization find new opportunities, improve efficiency and minimize risk. This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time.
Duration
5 Days
Target Audience
- Client users of IBM SPSS Statistics
- Data scientists
- Business Analysts
Course Objective
- Familiarize with SPSS: Gain a comprehensive understanding of the SPSS interface, data types, and basic functions.
- Master Data Management: Learn to manage and prepare data for analysis, including handling missing values and creating new variables.
- Perform Descriptive Analysis: Develop skills in calculating descriptive statistics and creating visualizations to summarize and interpret data.
- Conduct Basic Statistical Tests: Acquire the ability to perform and interpret fundamental statistical tests such as t-tests and chi-square tests.
- Generate and Interpret Reports: Learn to create, customize, and export reports, and effectively interpret and communicate statistical findings.
Course Modules
Course Outline
Module 1: Getting Started with SPSS
- Navigating the SPSS interface
- Understanding data types and variable views
- Importing and exporting data
- Saving and opening SPSS projects
- Case Study: Import a dataset from Excel, explore variables, and save the project.
Module 2: Data Management and Preparation
- Data entry and variable definition
- Handling missing values
- Recoding variables and creating new variables
- Merging and splitting files
- Case Study: Clean a raw dataset by handling missing values and creating new variables.
Module 3: Descriptive Statistics and Data Visualization
- Calculating measures of central tendency and dispersion
- Creating frequency tables and cross-tabulations
- Generating and customizing graphs (histograms, bar charts)
- Exploring data distributions
- Case Study: Analyze a dataset by summarizing statistics and creating visualizations.
Module 4: Basic Statistical Analysis
- Performing t-tests for comparing means
- Conducting chi-square tests for categorical data
- Understanding correlation and scatterplots
- Interpreting basic statistical outputs
- Case Study: Compare two groups using t-tests and analyze their correlation with scatterplots.
Module 5: Reporting and Interpretation
- Generating and exporting statistical reports
- Customizing output for presentation
- Interpreting SPSS output and statistical findings
- Using SPSS with Microsoft Office for reporting
- Case Study: Create a comprehensive report based on analysis results and export it for presentation.
Course Administration
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Accreditation
Participants will receive a Tech For Development Certificate of Course Completion.
Training Venue
Held at the Tech For Development Training Centre.
Accommodation & Airport Transfer
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
Customised training available.
Payment
Send proof of payment to letstalk@techfordevelopment.com.
