Statistical Analysis with SPSS
IBM SPSS Statistics Training
IBM SPSS Statistics Training
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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Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required.
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These related courses share skills and topics with Statistical Analysis with SPSS. Select up to two and tap Compare selected courses to view a side-by-side comparison.
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 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.
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.
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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. The course will cover:
Accessing data entry and import from other media, such as Excel
Manipulating data to create new data fields
Presenting data. Tabular and graphical output for analysis and reporting
Exploratory data analysis
Assessing whether significant differences exist between groups
Assessing whether significant associations/correlations exist between data fields
Basic trend analysis
Upon completion of this course, you should be confident in leveraging the power of IBM SPSS Statistics. You will be able to access data and create bespoke, high quality reports and output for monitoring data and enabling decision support. This includes the ability to draw conclusions from the data based on powerful statistical analysis.
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The first installment is due one week before the first class. Subsequent installments are spread out evenly across the duration of the course.
| Installments | |
|---|---|
| 10% non-refundable deposit | |
| $995.00 | Total You Pay |