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

University of Michigan
GIS: Geographic Information Systems for Sustainability
Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Spatial Analysis, Interactive Data Visualization, Data Storytelling, Environmental Monitoring, Data Presentation, Forecasting, Trend Analysis
Beginner · Course · 1 - 4 Weeks
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, Machine Learning Algorithms, Unsupervised Learning
Build toward a degree
4
Rating, 4 out of 5 stars
13 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Stability and Capability in Quality Improvement
Skills you'll gain: Process Capability, Statistical Process Controls, Statistical Analysis, R Programming, Quality Control, Data Analysis, Probability & Statistics, Statistical Methods, Statistics, Data Transformation, Probability Distribution
Build toward a degree
4.2
Rating, 4.2 out of 5 stars
13 reviews
Intermediate · Course · 1 - 3 Months
CertNexus
Analyze Data
Skills you'll gain: Data Analysis, Statistical Analysis, Exploratory Data Analysis, Business Analytics, Analytical Skills, Data Processing, Data Transformation, Probability & Statistics, Descriptive Statistics, Data Cleansing, Histogram, Scatter Plots
4.7
Rating, 4.7 out of 5 stars
17 reviews
Intermediate · Course · 1 - 3 Months
Packt
Complete SAS Guide - Learn SAS and Become a Data Ninja
Skills you'll gain: SAS (Software), Data Import/Export, Predictive Modeling, Data Manipulation, Statistical Analysis, SQL, Statistical Programming, Feature Engineering, Data Analysis, Pandas (Python Package), R Programming, Data Cleansing, Regression Analysis, Software Installation, Statistical Hypothesis Testing, Data Management, System Configuration
Beginner · Course · 3 - 6 Months
University of Colorado System
Advanced Clinical Data Science
Skills you'll gain: Clinical Data Management, Clinical Research, Data Quality, Medical Science and Research, Time Series Analysis and Forecasting, Data Cleansing, Data Analysis, Data Modeling, Data Science, Advanced Analytics, Scientific Methods, Statistics
4.8
Rating, 4.8 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Trees, SVM and Unsupervised Learning
Skills you'll gain: Supervised Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning, Predictive Modeling, Feature Engineering, Random Forest Algorithm, Performance Tuning
4.4
Rating, 4.4 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
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, Predictive Modeling, Applied Mathematics
5
Rating, 5 out of 5 stars
8 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Measurement Systems Analysis
Skills you'll gain: Correlation Analysis, Data Visualization, Descriptive Statistics, Statistical Analysis, Statistical Software, Quantitative Research, Probability & Statistics, Data Analysis, Analysis, Exploratory Data Analysis, Data Quality, R Programming, Regression Analysis, Statistical Methods, Systems Analysis, Verification And Validation, Data Validation, Statistics, Statistical Hypothesis Testing
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 3 Months