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

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 Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, General Networking
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
36 reviews
Intermediate · Course · 1 - 4 Weeks
SAS
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics
Skills you'll gain: SAS (Software), Forecasting, Spatial Data Analysis, Data Visualization Software, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Predictive Analytics, Geospatial Mapping, Data Analysis, Geographic Information Systems, Data Manipulation, Statistical Programming
4.8
Rating, 4.8 out of 5 stars
221 reviews
Intermediate · Course · 1 - 4 Weeks
University of Amsterdam
Methods and Statistics in Social Science - Final Research Project
Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Scientific Methods, Data Collection, Research Methodologies, Report Writing, Experimentation, Social Sciences, Survey Creation
4.4
Rating, 4.4 out of 5 stars
63 reviews
Beginner · Course · 1 - 3 Months
SAS
Creating Advanced Reports with SAS Visual Analytics
Skills you'll gain: Ad Hoc Reporting, SAS (Software), Business Analytics, Business Reporting, Interactive Data Visualization, Business Intelligence Software, Data Visualization Software, Data Analysis, Analytics, Performance Metric, Key Performance Indicators (KPIs), Data Manipulation, Statistical Programming
4.7
Rating, 4.7 out of 5 stars
213 reviews
Intermediate · Course · 1 - 4 Weeks
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, Cybersecurity, Technical Communication, Usability, Cyber Attacks, Statistical Reporting, Human Computer Interaction, Authentications, Data Storytelling, Data Science, Ethical Standards And Conduct, Design Research, Information Assurance, Data Integrity
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
105 reviews
Intermediate · Specialization · 3 - 6 Months
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, Data Processing, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
91 reviews
Beginner · Guided Project · Less Than 2 Hours
Kennesaw State University
Six Sigma Tools for Analyze
Skills you'll gain: Lean Six Sigma, Root Cause Analysis, Process Analysis, Probability Distribution, Process Capability, Statistical Process Controls, Process Improvement, Quality Improvement, Process Mapping, Statistical Analysis, Probability, Quality Control, Statistics, Risk Management
4.7
Rating, 4.7 out of 5 stars
1.8K reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
RStudio for Six Sigma - Basic Descriptive Statistics
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Box Plots, R Programming, Probability Distribution, Data Synthesis, Probability & Statistics, Exploratory Data Analysis
4.7
Rating, 4.7 out of 5 stars
64 reviews
Beginner · Guided Project · Less Than 2 Hours
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