Master the data analytical skill through IBM SPSS statistics and conduct your own high-end academic research.
Data analysis and reporting are of utmost importance when academic and industrial research is considered. SPSS is one of the prominent statistical and data analysis tools that help researchers frame complex problems in a more ordered system and derive meaningful insights with larger implications.
This course on IBM SPSS statistical training aims to take a non-mathematical approach to SPSS statistics and help businesses, government, and research institutes to make more precise and more practical interpretations of the data sets. You will also be able to gain in-depth knowledge on importing spreadsheets, making data visualization, and complex calculations of descriptive statistics. Moreover, if you are someone who does not have a good command of other prominent programming languages, this course is an ideal fit for you as you develop data analysis skills and understanding to make a decision on which statistical tool will be appropriate for your academic research.
To begin, enroll in the Specialization and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time.
You'll need to successfully finish the all modules / articles / hands-on Project to complete the Specialization and earn your certificate
When you finish this course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
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The course will offer you building skillsets that enable you to carry out in-depth data analysis independently and based on your research.
An expert SPSS developer possesses high-end analytical and visualization skills when big data sets are concerned. The average salary of an expert SPSS developer is around $138k per year.
IBM SPSS statistical program has been proven to be most beneficial to learners who are first-grade researchers. This programming tool was owned by IBM in 2009 and since then has been widely used in the field of neuroscience, behavioral sciences, and many other branches of academic research. In-depth knowledge about quantitative data analysis in the business world also has a great impact and in the coming years as the size of data sets people are dealing with in every field increases, these kinds of statistical skillsets will become more effective. Although there is no involvement of programming languages or other complex concepts of statistics and data analysis, SPSS is the first-hand solution to analyze, visualize and interpret data sets to bring about realistic outcomes.
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