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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 is offered as private training only where you will cover topics from the outline below. The number of topics covered depends on the level of the attendee.
As one of our smaller courses, tuition for this course is due in full before the start date. The best way to save on this course is to take it as part of a certificate program.
There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.
However, if you plan to take the course live online, you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost.
We don’t currently offer discounts as we do our best to affordably prices our courses.
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The Career Centers instructors are highly skilled communicators who really know their craft. They are wonderful about explaining and re-explaining when necessary and I never felt rushed or foolish for asking a question.
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Retake the course for free within one year
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 NYC Career Centers, 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!
Refresh and solidify your understanding of the course content for no extra charge within a year, provided there is space in the class.
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.
A practical PC-based workshop during 1 day. Firstly familiarising participants with SPSS, and progressing from data entry and presentation, to 1 and 2 sample tests, oneway ANOVA and simple regression.
A practical course following on from the introduction, presenting more advanced statistical techniques such as ANOVA, ANCOVA, Multiple Regression, Logistic Regression, and Repeated Measures. The course is run over 2 days.
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.