IBM SPSS Modeler is a data mining and text analytics software application from IBM. The principle uses of it is to build predictive models and carry out other analytic. It has a visual UI which allows users to leverage statistical and data mining algorithms without complicated programming. The major USP of IBM SPSS Modeler is to get rid of unnecessary complexity in data transformations and to make complex predictive models simple to use. The first version incorporated decision trees, and neural networks, which could both be trained without underlying knowledge of how those techniques worked. IBM SPSS Modeler was originally named ‘Clementine’ by its creators, ‘Integral Solutions Limited’. This name continued for a while after SPSS's acquisition of the product. SPSS later changed the name to ‘SPSS Clementine’, and then later to ‘PASW Modeler’. Following IBM's 2009 acquisition of SPSS, the product was renamed IBM SPSS Modeler.
The role of a Data Scientist
The role of a Data Scientist is to value and use the data to respond to a business problem, help make this process of identifying business problems easy and fast. The Data Scientists manipulate, explore and analyze data, to extract the key knowledge for business success. This specialization aims to cover in a very operational manner the methods, tools and statistical and learning machine models needed by the Data Scientists to solve business problems. The uses of ‘IBM SPSS Modeler’ allow the application of the skills learned throughout the courses. The Data Scientist Specialization Curriculum also gives you an introduction to big data environments. Being one of the most sophisticated tools in the market, IBM has a lion share in the market for clients with business size small to medium. The IBM SPSS Modeler is catering to many business vertical presently, mainly to name, Retail, manufacturing, online trading, advertising and social advertising, there are many to name actually. The scope for the IBM SPSS certified is quite good.
For a business, the major objective to have Data Scientist engaged for:
To identify relevant data and statistical or machine learning models to address business problems, enable the business to have a good knowledge of data management and data preparation. Get a Strong grip over business data and use the same in analysis and machine learning purposes and help business to combine textual data with structured data to solve business problems.
Data Scientist Certification Programs From IBM
IBM Certified Specialist - SPSS Modeler Professional V3 (C2090-930)
IBM Certified Data Architect - Big Data (C2090-102)
Who can Learn the IBM SPSS and what basic skill sets required?
- A good foundation in computer science and applications, modeling, statistics, analytics, and math.
- Preferably the academic experience in a scientific discipline looking to move into the world of Data Science or a Business Intelligence consultants looking to move into the world of predictive analysis
- Strong business insight, joined with the ability to communicate findings to both business and IT leaders.
- Should have a basic understanding of the big data and Hadoop environment