If you're starting out in data analysis, one of the first questions you'll face is: which tool do I learn? SPSS, Excel, and STATA are three of the most widely used tools — but they serve different purposes and audiences. Here's a practical breakdown.
Microsoft Excel
Excel is the most universally used tool in the world. Almost every organisation uses it for reporting, budgeting, and basic data management. If you learn nothing else, learn Excel. It is the foundation that every data analyst should have regardless of industry.
Best for: Business reporting, financial analysis, dashboards, and general data management.
SPSS (Statistical Package for the Social Sciences)
SPSS is the go-to tool in academic research, especially in social sciences, healthcare, and education. It has a user-friendly interface that makes running statistical tests straightforward — even without deep programming knowledge.
Best for: Academic research, survey analysis, public health studies, and social science.
STATA
STATA is widely used in economics, epidemiology, and policy research. It is more powerful than SPSS for certain types of analysis and is preferred by many researchers working with large panel datasets.
Best for: Economic research, clinical trials, policy analysis, and longitudinal studies.
Which Should You Start With?
Start with Excel — always. Then choose between SPSS and STATA based on your field. If you're in academia, healthcare, or social research, go with SPSS. If you're in economics or policy, go with STATA. Our Data Analysis programme at Oyelayo covers all three, plus RevMan for systematic reviews.