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 Hong Kong University of Science and Technology
Social Science Approaches to the Study of Chinese Society Part 2
Skills you'll gain: Research Design, Research Methodologies, Social Sciences, Research, Qualitative Research, Survey Creation, Statistical Analysis, Data Collection, Higher Education, Sample Size Determination, Ethical Standards And Conduct, Probability & Statistics
4.7
Rating, 4.7 out of 5 stars
20 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
How to Conduct a Social Impact Assessment with SROI
Skills you'll gain: Return On Investment, Sustainability Reporting, Needs Assessment, Program Evaluation, Project Scoping, Environmental Social And Corporate Governance (ESG), Goal Setting, Project Performance, Stakeholder Communications, Social and Human Services, Analysis, Stakeholder Engagement, Data Collection
4.7
Rating, 4.7 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
ANOVA and Experimental Design
Skills you'll gain: Statistical Hypothesis Testing, Experimentation, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Quantitative Research, Regression Analysis, Statistical Inference, Probability & Statistics
Build toward a degree
3.9
Rating, 3.9 out of 5 stars
18 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Stanford University
Introduction to Statistics
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution, Correlation Analysis
4.6
Rating, 4.6 out of 5 stars
3.8K reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Science of Exercise
Skills you'll gain: Kinesiology, Physical Therapy, Behavioral Health, Health Assessment, Preventative Care, Blood Pressure, Respiration, Anatomy, Life Sciences, Stress Management, Vital Signs, Injury Prevention, Pharmaceuticals, Risk Analysis
4.8
Rating, 4.8 out of 5 stars
4.6K reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Introduction to Data Analysis using Microsoft Excel
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining
4.7
Rating, 4.7 out of 5 stars
3.7K reviews
Intermediate · Guided Project · Less Than 2 Hours
Microsoft
Data Analysis and Visualization with Power BI
Skills you'll gain: Dashboard, Power BI, Data Storytelling, Data Visualization Software, Microsoft Power Platform, Data Presentation, Advanced Analytics, Statistical Reporting, Interactive Data Visualization, Business Intelligence, Data Analysis, Web Content Accessibility Guidelines
4.7
Rating, 4.7 out of 5 stars
656 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Introduction to Systematic Review and Meta-Analysis
Skills you'll gain: Clinical Trials, Clinical Research, Qualitative Research, Data Synthesis, Research Methodologies, Data Collection, Research Design, Analysis, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis, Data Analysis
4.8
Rating, 4.8 out of 5 stars
3.4K reviews
Mixed · Course · 1 - 3 Months
Google
The Power of Statistics
Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Descriptive Statistics, Probability Distribution, Data Analysis, Analytics, Statistical Analysis, Probability, Statistical Methods, Data Science, A/B Testing, Statistics, Statistical Inference, Bayesian Statistics, Statistical Programming, Jupyter
4.8
Rating, 4.8 out of 5 stars
724 reviews
Advanced · Course · 1 - 3 Months
IBM
SQL for Data Science with R
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Access
4.3
Rating, 4.3 out of 5 stars
168 reviews
Beginner · Course · 1 - 3 Months
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, Internet Of Things, Live Streaming, Cloud Platforms, Analytics, Real Time Data, Apache Hadoop, Multimedia, Emerging Technologies, Apple iOS, Mobile Development Tools, Product Planning, Android (Operating System)
4.7
Rating, 4.7 out of 5 stars
1.9K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Johns Hopkins University
Measuring and Maximizing Impact of COVID-19 Contact Tracing
Skills you'll gain: Epidemiology, Business Metrics, Infectious Diseases, Interactive Data Visualization, Analysis, Threat Detection, Data Presentation, Decision Support Systems
4.5
Rating, 4.5 out of 5 stars
1.3K reviews
Advanced · Course · 1 - 4 Weeks