SPSS is a common software used by data analysts to conduct statistical data analysis. The designation SPSS is short for Statistical Package for the Social Sciences. While no longer just used in social science, SPSS is today a common tool for education, marketing, and healthcare researchers to perform statistical analysis and statistical operations. Among the types of data analyzed using SPSS by researchers include scientific research results, Google analytics, server log files, survey results, and organization customer databases. SPSS software, which has been owned by IBM for over a decade, supports spreadsheets, plain text files, and relational databases like SAS, SATA, and SQL. In fact, almost all kinds of formats of structured data are supported by SPSS software.

Why is it valuable to learn SPSS?

It's valuable to learn SPSS as it may give you graphical insights into how to manage data, conduct data mining, select data cases, recode variables, and manage research surveys. Learning SPSS can also help provide quick data analysis with accurate information about variables and cases. The SPSS software also includes charts and graphs, which makes it easy to share and show data findings. These are valuable assets to learn and to use in your professional career. SPSS software can simplify and speed up your data analytics work through its menu-driven UI that gives you data insights with a few clicks.

What are typical career opportunities that can arise from learning SPSS?

Typical career opportunities that use SPSS are mainly jobs like data analysts, research analysts, and intelligence analysts. These roles may be in government work, research, healthcare, science, education, and marketing. You may even use SPSS understanding to work as an SPSS software instructor. In many of these roles, your knowledge of SPSS would help you conduct data management, data analysis, and research functions for your organization, to help provide meaningful insight for the enterprise.

How can taking online courses on Coursera help me learn SPSS?

When you take online courses on Coursera about SPSS, you may learn the basics of using the SPSS software and the fundamentals of statistical theory and design, as well as how to create variables, how to enter data, and how to modify properties of variables in common statistical tests. Having a basic understanding of data and statistics may help you enrich your learning of SPSS in a faster way. It may also speed up your learning of how SPSS is used in quantitative research models and other statistics formulations.

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Explore the SPSS Course Catalog

Status: Free Trial
University of Colorado Boulder
Regression and Classification
Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Probability & Statistics, Supervised Learning, Applied Machine Learning
Build toward a degree
3.9
Rating, 3.9 out of 5 stars
14 reviews
Intermediate · Course · 1 - 3 Months
Packt
The Simplest Guide™ to Clinical Data Analysis with SAS
Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, SAS (Software), Statistical Reporting, Pharmaceuticals, Data Analysis, Statistical Analysis, Data Transformation, Data Manipulation, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
SAS
Structured Query Language (SQL) using SAS
Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Data Presentation, Data Manipulation, Data Integration, Data Processing
4.9
Rating, 4.9 out of 5 stars
282 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
SkillUp EdTech
Data Collection and Root Cause Analysis
Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Process Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Analytical Skills, Pareto Chart, Performance Measurement
4.5
Rating, 4.5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Davis
Sensory Science: Conducting Tests
Skills you'll gain: Experimentation, Product Testing, Laboratory Experience, Research Design, Consumer Behaviour, Target Market, Data Collection, Data Analysis, Recruitment, Technical Communication
4.9
Rating, 4.9 out of 5 stars
18 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Maryland, College Park
Dealing With Missing Data
Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference
3.8
Rating, 3.8 out of 5 stars
135 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Inferential and Predictive Statistics for Business
Skills you'll gain: Statistical Inference, Business Analytics, Analytics, Statistical Analysis, Statistical Hypothesis Testing, Regression Analysis, Data-Driven Decision-Making, Business Mathematics, Statistical Methods, Probability & Statistics, Statistical Modeling, Predictive Analytics, Microsoft Excel
4.8
Rating, 4.8 out of 5 stars
862 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Statistical Inference for Estimation in Data Science
Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution
4.1
Rating, 4.1 out of 5 stars
88 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Statistical Inference and Hypothesis Testing in Data Science Applications
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
50 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
SAS
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics
Skills you'll gain: SAS (Software), Forecasting, Spatial Data Analysis, Data Visualization Software, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Predictive Analytics, Geospatial Mapping, Data Analysis, Geographic Information Systems, Data Manipulation, Data Transformation
4.8
Rating, 4.8 out of 5 stars
223 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Resampling, Selection and Splines
Skills you'll gain: Data Science, R Programming, Statistical Machine Learning, Advanced Analytics, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Statistical Methods, Sampling (Statistics), Regression Analysis, Statistical Inference
5
Rating, 5 out of 5 stars
8 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Using Descriptive Statistics to Analyze Data in R
Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Statistical Methods, Data Manipulation, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
93 reviews
Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular spss courses

Regression and Classification: University of Colorado Boulder
The Simplest Guide™ to Clinical Data Analysis with SAS: Packt
Structured Query Language (SQL) using SAS : SAS
Data Collection and Root Cause Analysis: SkillUp EdTech
Sensory Science: Conducting Tests: University of California, Davis
Dealing With Missing Data: University of Maryland, College Park
Inferential and Predictive Statistics for Business: University of Illinois Urbana-Champaign
Statistical Inference for Estimation in Data Science: University of Colorado Boulder
Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics: SAS

SPSS Courses Online