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

SAS
Data Literacy in Practice
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Visualization, Data Analysis, Data Cleansing, Data Manipulation, Technical Communication, Correlation Analysis
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Coursera Instructor Network
GenAI for Market Research Analysts
Skills you'll gain: Competitive Analysis, Market Research, Market Analysis, Customer Analysis, Generative AI, Market Intelligence, Marketing Analytics, Customer Insights, Market Trend, Persona Development, Trend Analysis, Analytics, Business Analysis, Data Analysis, Forecasting, User Feedback, Data Ethics, Decision Making
4.3
Rating, 4.3 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Instructor Network
GIS Mastery: Spatial Data, Remote Sensing, Decision Support
Skills you'll gain: Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Global Positioning Systems, Data-Driven Decision-Making
4.1
Rating, 4.1 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Assisting Public Sector Decision Makers With Policy Analysis
Skills you'll gain: Statistical Analysis, Program Evaluation, Policy Analysis, Data Analysis, Statistical Methods, Public Policies, Statistical Hypothesis Testing, Analytical Skills, Forecasting, R Programming, Research Design, Time Series Analysis and Forecasting
4.8
Rating, 4.8 out of 5 stars
25 reviews
Intermediate · Course · 1 - 3 Months
Kennesaw State University
The Analyze Phase for the 6 σ Black Belt
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Methods, Statistical Inference, Process Analysis, Correlation Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Variance Analysis, Sample Size Determination, Sampling (Statistics)
4.4
Rating, 4.4 out of 5 stars
47 reviews
Mixed · Course · 1 - 3 Months
University at Buffalo
Data Analysis and Visualization
Skills you'll gain:
4.7
Rating, 4.7 out of 5 stars
157 reviews
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Inferential and Predictive Statistics for Business
Skills you'll gain: Statistical Inference, Business Analytics, Statistical Analysis, Statistical Hypothesis Testing, Regression Analysis, Data-Driven Decision-Making, Statistical Methods, Probability & Statistics, Predictive Analytics, Microsoft Excel, Sampling (Statistics)
4.8
Rating, 4.8 out of 5 stars
862 reviews
Intermediate · Course · 1 - 3 Months
Kennesaw State University
The Measure Phase for the 6 σ Black Belt
Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Manufacturing, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Quality Improvement, Process Improvement and Optimization, Continuous Quality Improvement (CQI), Statistics, Probability, Systems Of Measurement, Statistical Analysis
4.3
Rating, 4.3 out of 5 stars
50 reviews
Mixed · Course · 1 - 3 Months
University of Michigan
Measuring Total Data Quality
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Integrity, Exploratory Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics)
4.5
Rating, 4.5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
SkillUp EdTech
Data Collection and Root Cause Analysis
Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Data Collection, Descriptive Statistics, Probability & Statistics, Statistical Analysis, Process Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Process Capability, Statistical Process Controls, Pareto Chart
4.5
Rating, 4.5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Packt
Satellite Remote Sensing Data Bootcamp With Opensource Tools
Skills you'll gain: Spatial Data Analysis, Geospatial Information and Technology, Geographic Information Systems, Spatial Analysis, GIS Software, Data Analysis Software, R Programming, Applied Machine Learning, Image Analysis, Open Source Technology, Data Processing, Data Transformation, Machine Learning, Data Import/Export, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months
University of Michigan
Data Collection: Online, Telephone and Face-to-face
Skills you'll gain: Survey Creation, Interviewing Skills, Data Collection, Sampling (Statistics), Research Methodologies, Data Capture, Qualitative Research, Research Design, Data Validation, Data Quality
4.6
Rating, 4.6 out of 5 stars
343 reviews
Beginner · Course · 1 - 4 Weeks

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

Data Literacy in Practice: SAS
GenAI for Market Research Analysts: Coursera Instructor Network
GIS Mastery: Spatial Data, Remote Sensing, Decision Support: Coursera Instructor Network
Assisting Public Sector Decision Makers With Policy Analysis: University of Michigan
The Analyze Phase for the 6 σ Black Belt: Kennesaw State University
Data Analysis and Visualization: University at Buffalo
Inferential and Predictive Statistics for Business: University of Illinois Urbana-Champaign
The Measure Phase for the 6 σ Black Belt: Kennesaw State University
Measuring Total Data Quality: University of Michigan
Data Collection and Root Cause Analysis: SkillUp EdTech

SPSS Courses Online