
Learn the IBM SPSS statistics basics, including the interface and data import. Master descriptive statistics, basic graphs, and data transformation, plus correlations, regression, ANOVA, t tests, and factor analysis.
Start the professional certificate in IBM SPSS Statistics Expert with a welcoming introduction to MTF, outlining what to expect as you begin mastering statistics.
Explore the IBM SPSS interface, focusing on data view and variable view. Learn to define variable properties and edit data in a spreadsheet-like data view.
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Import and manage data from Excel or csv, clean and recode variables (including age to age group), handle missing values, sort, filter conditions, and edit or add records in SPSS.
Explore descriptive statistics, computing mean, median, mode, percentiles, standard deviation, min and max, and frequency tables. Learn to perform cross tabulations with chi-square and Fisher's exact tests.
Build basic graphs in SPSS using the graphs chart builder to create bar charts, histograms, and pie charts, then customize colors and labels to reveal patterns like age by department.
Transform data with compute variables, create profit margin and cost per unit, then use batch syntax; explore Pearson and Spearman correlations and linear regression between delivery time and service quality.
Explore Pearson and Spearman correlations in SPSS, testing linear relationships between two variables and interpreting strong positive, statistically significant results while noting correlation does not imply causation.
Learn to compare means with independent samples t tests for two groups and one-way ANOVA for three or more groups, using post-hoc tests to identify department differences in annual salary.
Perform multivariate analysis by regressing customer satisfaction on product quality, service quality, and delivery time, interpret adjusted R square, and note that product quality and service quality are significant predictors.
Advance your SPSS expertise with the extended course, covering advanced data management, statistical analysis, graphs, macros, survey analysis, and interactive dashboards for better decision making and communication.
Understand how work is evaluated and rewarded in 2026, including ai's role, and emphasize operations, judgment, and accountability.
Begin 2026 with a pause to reset, reflecting 2025 and selecting what to retain, adjust, or leave behind. Use artificial intelligence responsibly as a baseline to enhance judgment and outcomes.
Retain the durable 2025 workflow for 2026: clear problem framing, high-quality inputs, an AI assistant, and human validation to drive meaningful outcomes through clear communication.
Prioritize correctly to drive the right outcomes, as 2026 evaluations reward judgment, reliability, explainability, and ownership over output, with fewer, better decisions that move value.
AI is now operational, embedded in daily workflows, and organizations demand repeatable, reliable outcomes with professional responsibility guiding what to rely on AI for.
Learn to frame problems before solving, act decisively under ambiguity, and explain your work clearly across roles from data science to management, enabling faster adoption and trusted decisions in 2026.
Learn to balance speed and judgment in 2026 decision-making by distinguishing low-risk from high-stakes choices, leveraging ai safely, and upholding human ownership and accountability.
In 2026, treat AI outputs as advice, not authority; always validate high-stakes decisions manually, explain AI reasoning to stakeholders, and guard against automation bias and trust failures.
focus on delivering the right insights that inform decisions in 2026, as ai and automation speed outputs and meaning becomes the scarce skill.
Frame your work before using tools to ensure impact by asking what decision it supports, what could go wrong, and who owns the outcome; framing turns tools into leverage.
Build career defensibility in 2026 by focusing on defensible work—areas requiring judgment, trust, and domain depth—while reducing replaceable outputs through strategic learning and communication.
Develop durable capabilities that outlast tool changes by prioritizing judgment, domain expertise, ethical judgment, and clear communication with AI.
Apply practical habits across any discipline by stopping low-value work, keeping value-driving thinking, and building one habit that strengthens judgment and defensibility.
Welcome to course Professional Certificate of IBM SPSS Statistics Expert by MTF Institute
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
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MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 210 countries and has been chosen by more than 480 000 students.
Course Author:
Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.
In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.
In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.
Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.
With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.
The IBM® SPSS® Statistics software puts the power of advanced statistical analysis at your fingertips. Whether you are a beginner, an experienced analyst, a statistician or a business professional it offers a comprehensive suite of advanced capabilities, flexibility and usability that are not available in traditional statistical software.
With the user-friendly and intuitive interface of SPSS Statistics, you can easily manage and analyze large datasets, gaining actionable insights for fact-base decisions. Its advanced statistical procedures and modeling techniques enable you to optimize organizational strategies, including predicting customer behaviors, forecasting market trends, detecting fraud to minimize business risk and conducting reliable research to drive accurate conclusions.
Why learn IBM SPSS:
- Intuitive interface: Prepare and analyze data through an intuitive user interface with drag-and-drop functionality, eliminating the need for writing codes.
- Simplified data management: Efficiently integrate data management with statistical analysis, by easily importing, cleaning, and manipulating data within your analytical environment.
- Comprehensive analysis: Conduct descriptive statistics and regression analyses, visualize patterns of missing data, and summarize variable distributions—all within one-stop solution.
- Advanced predictive analytics: Use the predictive modeling capabilities to accurately forecast trends and outcomes, enhancing your business planning and research.
- Customizable output: Tailor analysis outputs and reports to your specific needs with customizable charts, graphs, and tables, optimizing your presentations and insights.
- Open-source integration: Extend SPSS syntax with R and Python through pre-built extensions or custom scripts for personalized data analysis and visualization.
Exclusive: The Career Accelerator Edition
Why is this course unique?
By enrolling in this special edition, you unlock three strategic career advantages:
1. Dual Certification & Direct Verification Go beyond the standard. Upon completion, you will receive not only the Udemy certificate but also the Official MTF Institute Certificate and Student ID.
· Direct Validation: You will gain access to our automated system to issue your credentials instantly directly from the Institute.
· Credibility: This independent verification adds a layer of professional authority to your CV, recognized by our global partners.
2. Portfolio Building & LinkedIn Visibility In job market, visibility is everything. We don't just teach you skills; we help you showcase them.
· Show, Don't Just Tell: We encourage you to post your course projects and case studies directly to your professional profiles.
· Career Boost: Follow our guidelines to add your new certification to your LinkedIn profile correctly. This simple step significantly improves your visibility to recruiters and demonstrates your commitment to continuous professional development.
3. Access to a Global Professional Community Education is more powerful when shared. You are not learning alone.
· Network: Join thousands of professionals worldwide who trust MTF Institute.
· Stay Informed: Gain the opportunity to subscribe to our industry insights and newsletters, keeping you ahead of trends in management and technology.
Start your transformation from a student to a recognized professional today.