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
| Course Title | Introduction to IBM SPSS Statistics Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | 5 days |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | USD 1,000/KES 70,000 (Exclusive of VAT) |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
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
Methodology
Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation & Airport Transfer
Arranged upon request.For reservations contact the Training Officer:
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.
Payment
Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to letstalk@techfordevelopment.com.
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