SPSS: A Practical Guide to Data Analysis
Learn data science & ai through practical, hands-on projects and real-world applications.
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Welcome to course: IBM SPSS: A Practical Guide to Data Analysis by MTF InstituteBecome a data analysis expert with "IBM SPSS: A Practical Guide to Data Analysis. " This course offers a practical, hands-on approach to mastering IBM SPSS, guiding you from importing raw data to confidently interpreting and presenting your results. Designed for both beginners and intermediate users, you'll learn essential SPSS techniques including data import, descriptive statistics, creating insightful charts and graphs, data transformation, exploring correlations and regression, comparing group means with t-tests and ANOVA, and an introduction to multivariate analysis.
Crucially, you'll develop the skills to accurately interpret SPSS output, focusing on effect sizes and practical significance to communicate data-driven insights effectively. Enroll now and unlock the power of your data. Course provided by MTF Institute of Management, Technology and FinanceMTF 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 216 countries and has been chosen by more than 750 000 students.
Course Author:Dr. 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.
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