Advanced Statistical Analysis with SPSS
SPSS Advanced Statistical Analysis Training
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SPSS Advanced Statistical Analysis Training
All sessions are full. Contact us to be added to the waiting list.
In this course, you will be introduced to a range of advanced statistical modeling techniques during this course. It covers all the major statistical models including how and when they are used. This will enable you to make an informed choice as to the best mode of analysis for your particular research question.
The course covers:
On completing this course you will be in a position to determine how best to address a research question. This will be based on the type of data involved and choosing the optimal technique from a range of possibilities. You will also be versed in how to apply this understanding to data using the range of statistical techniques available in IBM SPSS.
SPSS proficiency equivalent to our Introduction to SPSS course is required, including entering data, producing summary statistics, and creating charts.
Email contact@nyimtraining.com to request this course, or see related courses with upcoming availability
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Refresh the materials and gain additional practice
Attend this course in-person in NYC or Live Online via Zoom. Engage with expert instructors, ask questions, and get feedback on your exercises and projects. Switch between live-online and in-person as needed, even after the course has started.
Unlike other providers, these are not mass open-enrollment classes. At NYIM Training, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
Get face-to-face interaction with an instructor and other students when you learn at our NYC campus. Courses are hands-on with a computer and software provided.
Get the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.
Upon completion of this course, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
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Refresh and solidify your understanding of the course content for no extra charge within a year, provided there is space in the class.
SPSS proficiency equivalent to our Introduction to SPSS course is required, including entering data, producing summary statistics, and creating charts.
This course does not qualify for payments plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
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Learn to create a data file and enter data, conduct preliminary analyses, use graphs to describe and explore the data, manipulate the data, check the reliability of a scale, apply correlations, conduct significance tests, and perform regression analysis.
This course introduces how to present, analyze and interpret data using the statistical analysis software package SPSS. In virtually every field of work, being confident and competent in analyzing data and drawing conclusions is extremely helpful. You'll learn to develop those skills using SPSS.
This is an intermediate level course designed to introduce students to advance techniques used in data analysis and database management. Focus is placed on the use of scripts, the appropriate use of parametric and nonparametric tests, regression analysis and Decision Trees. The incorporation of these techniques will provide the tools necessary to perform sophisticated analysis and management of data.
This course introduces you to the power and functionality of IBM SPSS Statistics as a data analysis tool and covers standard exploratory statistical analysis of data.
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You will be introduced to a range of advanced statistical modeling techniques during this course. It covers all the major statistical models including how and when they are used. This will enable you to make an informed choice as to the best mode of analysis for your particular research question.
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