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.

Top Spss Courses - Learn Spss Online

Explore the SPSS Course Catalog

Status: Free
The Chinese University of Hong Kong
Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
Skills you'll gain: Statistical Modeling, Statistical Analysis, SPSS, SAS (Software), Regression Analysis, Analysis, Correlation Analysis, Statistical Methods, Data Analysis Software, Data Modeling
4.8
Rating, 4.8 out of 5 stars
25 reviews
Mixed · Course · 3 - 6 Months
Università di Napoli Federico II
Comparative Research Designs and Methods
Skills you'll gain: Research Methodologies, Science and Research, Qualitative Research, Research Design, Research, Social Sciences, Statistical Analysis, Political Sciences
4.6
Rating, 4.6 out of 5 stars
9 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
EDUCBA
Splunk Query Language and Data Analysis
Skills you'll gain: Splunk, Dashboard, Data Transformation, Data Manipulation, Data Analysis, Statistical Analysis, Query Languages, Data Visualization Software, Ad Hoc Reporting, Real Time Data, Data Modeling, Continuous Monitoring, Taxonomy
4.9
Rating, 4.9 out of 5 stars
115 reviews
Intermediate · Course · 1 - 4 Weeks
Yonsei University
Spatial Data Science and Applications
Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Database Management Systems, Big Data, Apache Hadoop, Data Modeling, PostgreSQL, Network Analysis
4.4
Rating, 4.4 out of 5 stars
520 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Managing, Describing, and Analyzing Data
Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Probability & Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Data Literacy, Probability, Statistical Visualization, Histogram
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
33 reviews
Beginner · Course · 1 - 3 Months
The Hong Kong University of Science and Technology
Social Science Approaches to the Study of Chinese Society Part 2
Skills you'll gain: Research Design, Social Sciences, Research, Surveys, Qualitative Research, Statistical Analysis, Data Collection, Higher Education, Correlation Analysis, Sample Size Determination, Ethical Standards And Conduct, Probability & Statistics, Regression Analysis
4.7
Rating, 4.7 out of 5 stars
20 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Vital Skills for Data Science
Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, Statistical Visualization, Technical Communication, Cybersecurity, Usability, Healthcare Ethics, Statistical Reporting, Human Computer Interaction, Authentications, Data Storytelling, Data Science, Data Encryption Standard, Computer Security Awareness Training, Ethical Standards And Conduct
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
111 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Statistical Modeling for Data Science Applications
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra
Build toward a degree
4.1
Rating, 4.1 out of 5 stars
52 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Data Science Methods for Quality Improvement
Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Statistical Process Controls, Data Visualization, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Literacy, Data Analysis Software, R Programming, Data Analysis, Box Plots, Systems Of Measurement, Quality Control
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
49 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Yonsei University
Emerging Technologies: From Smartphones to IoT to Big Data
Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Cloud Services, Internet Of Things, Live Streaming, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Multimedia, Emerging Technologies, Mobile Development, Apple iOS, Display Devices
4.7
Rating, 4.7 out of 5 stars
1.9K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
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, Policy Development, Analytical Skills, Forecasting, R Programming, Data-Driven Decision-Making, Research Design, Time Series Analysis and Forecasting
4.8
Rating, 4.8 out of 5 stars
25 reviews
Intermediate · Course · 1 - 3 Months
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, Spatial Analysis, Global Positioning Systems
4.5
Rating, 4.5 out of 5 stars
11 reviews
Intermediate · Course · 1 - 4 Weeks