SPSS - Statistical Tool

Unique Training with Vision Integrity & Commitment to Serve the World

Proficiency Enhancement

Use of technology, automation & research tools provides a means to all the top multi-national companies to implement changes quickly to stay ahead in the competition. To succeed in the international marketplace, companies are putting efforts to hire management graduates having working knowledge of most commonly used software tools in the Corporate World. Industry is also demanding management graduates to have good research & analytical skills and proficiency in working with large data & numbers.

Understanding the technology and IT skills demands of the industry, PIBM has introduced training methods & certification courses inside the curriculum like Bloomberg Terminal, Ace Analyzer, Enterprise Resource Planning (ERP), Six Sigma (Green Belt), MS Project, Advanced Excel, Balance Sheet Analysis & Financial Modelling. This ensures that PIBM students acquire the skills and capabilities that would enable them to work effectively and efficiently in their workplace. IT, Research & Analytical skills are indispensable tools to survive and excel in the competitive corporate world and that's why is taught to students in the form of theoretical and practical training.

SPSS - Statistical Tool


PIBM offers student a platform where advanced statistical analysis is taught using SPSS tools & how to access a vast library of machine learning algorithms, text analysis, open source extensibility and integration with big data. We train our student with real time problems so that they can understand the importance of analyzing the data and then turn these data into actionable insights with predictive analytics and be confident in making accurate business analysis. Using SPSS will help the students of PIBM to:

Understand importance of data, and how it can be used to generate insights required for business. This eventually guides in making the better decisions and mitigate risk

Learn and use various methods used in data analytics modelling

Learn data analytics process including data preparation, modelling and evaluation

Learn and use data analytics tools and programming languages

Understand the technology landscape used in data analytics