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.

MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.

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.

Who this course is for:

• No special requirements. A course for anyone who wants to build career in Data Analysis
• 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.