Tap into Career Paths with Limitless Potential with Business Analyst Training in SPSS

Mar 10th 2015 at 3:49 AM

A business analyst training in SPSS provides statistic modeling aspirants a great career option. Expanded as Statistical Package for the Social Sciences, SPSS was acquired by IBM, and is used extensively in health sciences and marketing. Widely used in the realm of statistical analysis in social science, this tool is used extensively by researchers, survey companies, educationists, data miners, data scientists etc.

Statistical features available in the base software

The following are the basic statistical features available in this statistical modeling software application.

  • Descriptive statistics – Using features such as cross tabulation, descriptive radio statistics, statistical modelers quantitatively describe the main features of an information collection or set.
  • Bivariate statistics – It is the simplest form of statistical analysis. SPSS provides features such as ANOVA, Means, Nonparametric tests, Correlation, t-test.
  • Linear regression – This tool provides facilities to model data using linear predictor functions. Model parameters, previously unknown is estimated from the data.
  • Cluster analysis – Is the grouping of disparate set of objects and forming a logical relation between them. Used extensively in machine learning, pattern recognition, and bioinformatics, this is a very important feature covered in a SPSS course.
  • Factor analysis – Describes the variability among variables that are observed to be correlated. Factor analysis has its applications in social sciences, marketing, operations research, behavioral sciences, and product management.

Job profiles after SPSS course

The following are some of the many job profiles that professionals can gain after learning SPSS.

  • Business intelligence analyst

  • This professional works with multiple groups such as Logistics, Customer Service, Marketing, etc. Day to day tasks involve measuring site performance, perform customer behavior and trend analysis, mine data, optimize SQL queries, etc. The role requires strong quantitative analysis skills and programming ability, although not mandatory. Technical skills are balanced with sound business acumen and judgment. Critical thinking is required to tackle complex business problems.

  • Director of analytics

The director builds business intelligence reporting frameworks and data marts. This person works cross-functionally with various business owners. The effort is to understand reporting and analytics needs. Additional responsibilities may include managing a team of analysts, plan an organization's ongoing business analytics needs etc.

Please to comment

sign in

Remember Me

New to IM faceplate? join free!

Lost Password? click here