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, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Regression Analysis, Predictive Modeling, Statistical Inference, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms
Build toward a degree
3.9
Rating, 3.9 out of 5 stars
14 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Kennesaw State University
The Measure Phase for the 6 σ Black Belt
Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Performance Measurement, Quality Improvement, Continuous Quality Improvement (CQI), Statistics, Probability, Systems Of Measurement, Statistical Analysis
4.3
Rating, 4.3 out of 5 stars
52 reviews
Mixed · 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
Measurement Systems Analysis
Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Scientific Visualization, Process Capability, Statistical Analysis, Systems Analysis, Data Analysis, Run Chart, Box Plots, Systems Of Measurement, Statistical Methods, Regression Analysis, R Programming, Scatter Plots, Statistical Hypothesis Testing
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Arizona State University
Random Models, Nested and Split-plot Designs
Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
34 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
ESSEC Business School
Capstone: Create Value from Open Data
Skills you'll gain: Peer Review, Complex Problem Solving, Data Synthesis, Data Analysis, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data-Driven Decision-Making, Data Visualization, Presentations
4.2
Rating, 4.2 out of 5 stars
54 reviews
Mixed · Course · 1 - 3 Months
Coursera Project Network
RStudio for Six Sigma - Basic Descriptive Statistics
Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis
4.7
Rating, 4.7 out of 5 stars
64 reviews
Beginner · Guided Project · Less Than 2 Hours
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
92 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Colorado Boulder
Ethical Issues in Data Science
Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Cybersecurity, Emerging Technologies
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
42 reviews
Beginner · Course · 1 - 3 Months
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
Status: Free Trial
University of Colorado Boulder
Data Science as a Field
Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
37 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
The State University of New York
Player Evaluation, Team Performance and Roster Management
Skills you'll gain: Performance Analysis, Analytics, Data-Driven Decision-Making, Data Analysis, Scheduling, Labor Relations, Team Performance Management, Linear Algebra, Contract Management, Contract Negotiation, R Programming
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Course · 1 - 3 Months

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

Regression and Classification: University of Colorado Boulder
The Measure Phase for the 6 σ Black Belt: Kennesaw State University
Statistical Inference for Estimation in Data Science: University of Colorado Boulder
Measurement Systems Analysis: University of Colorado Boulder
Random Models, Nested and Split-plot Designs: Arizona State University
Capstone: Create Value from Open Data: ESSEC Business School
RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
Using Descriptive Statistics to Analyze Data in R: Coursera Project Network
Ethical Issues in Data Science: University of Colorado Boulder
Resampling, Selection and Splines: University of Colorado Boulder

SPSS Courses Online