SPSS

Learning Outcomes

• Build your expertise in the most widely-used Analytics tools and technologies.
• Develop the ability to independently solve business problems using Analytics and Data Science.
• Understand the applications and implications of Data Science in dierent industries.
• Learn how to extract strategic business insights from data and eciently communicate them to stakeholders.
• Build models to predict future trends and use them to inform business strategy.
• Build a substantial body of work and an industry-ready portfolio in Data Science and Analytics.

Areas covered

The following topics will be covered:

• Introduction
• Opening a file in SPSS
• Opening an excel file
• Reading Text Data
• Creating a new variable
• Recoding Variables
• Recoding into the same variable
• Summarisation of Data
• Frequency Tables
• Descriptive Statistics
• Generating a Histogram
• Generating Statistics by groups (variables)
• Building Graphs Easily
• Cross Tables in SPSS
• Select Cases
• Sorting of Cases in SPSS
• Visual Binning
• Dates and Times
• Da Merge
• Study Population and Sampling
• Measurement Scales
• Distributions
• Hypothesis Testing
• Statistical Hypothesis Testing
• P-values
• Significance Levels
• Confidence Intervals
• T-Test: Independent Samples
• T-Test: Paired Samples
• Correlation Analysis
• Linear Regression
• Multiple Linear Regression in SPSS