During my seven year tenure, I also became a third-level support specialist for Cognos Finance and Cognos Planning. Prior to joining QueBIT, I was a Financial Performance Instructor for Cognos Corporation.
We don't only teach you how to use the solution, but also guide you with proven best practices and tips and instruct you on how to problem solve issues enabling you to become self-sufficient with the tool. QueBIT's training program is unique because we can tailor our material to your application and make sure we cover the concepts important to you and your personnel. I can assist you with coordinating a specific training program that will meet your organization's specific educational goals. Essentially what SPSS Modeler does is to mine through. What I’ve seen so far has been very encouraging. Recently I’ve been researching and looking into a tool from IBM called SPSS Modeler, many readers may have heard or even used of SPSS Statistics, and Modeler is part of that family.
I am a certified technical trainer and am certified in IBM Cognos products. Predictive Analytics In Human Resources: SPSS Modeler. I have been the Business Analytics Training Manager at QueBIT Consulting since 2006. And finally the Deployment Phase allows you to do something with your findings. The Evaluation Phase focuses how to take your data mining results so that you can achieve your business objectives. While the Modeling Phase will focus on building a predictive model. The Data Preparation Phase discusses how to integrate and construct data. We will also focus on describing, exploring, and assessing data quality. We will discuss how to read data into Modeler. The Data Understanding Phase addresses the need to understand what your data resources are and the characteristics of those resources. You will also learn about the CRISP-DM methodology which will serve as a guide throughout the course and you will also learn how to navigate within Modeler. The Introduction to Data Mining Phase is designed to get you up to speed on the idea of data mining. Each video consists of detailed instructions explaining why we are using a technique, in what situations it is used, how to set it up, and how to interpret the results.
The series of stand-alone videos, are designed to introduce students to specific nodes or data mining topics. Overview: This course introduces students to data mining and to the functionality available within IBM SPSS Modeler. Analysts typically use SPSS Modeler to analyze data by doing data mining and then deploying models.
Users of IBM SPSS Modeler responsible for building predictive models who want to leverage the full potential of classification models in IBM SPSS Modeler. If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. Also included are examples of how to create resource tempates and Text Analysis packages to share with other projects and other users. Topics include how to automatically and manually create and modify categories, how to edit synonym, type, and exclude dictionaries, and how to perform Text Link Analysis and Cluster Analysis with text data. The cluster analysis green book is a classic reference text on theory and methods. IBM SPSS Modeler Text Analytics offers powerful text analytic capabilities, which use advanced linguistic technologies and Natural Language Processing. After the final model has been created, there is an example of how to apply the model to perform churn analysis in telecommunications. You will be introduced to the complete set of steps involved in working with text data, from reading the text data to creating the final categories for additional analysis. This course (formerly: Introduction to IBM SPSS Text Analytics for IBM SPSS Modeler (v18)) teaches you how to analyze text data using IBM SPSS Modeler Text Analytics. Warehousing Data Mining Text Mining Data Selection. Modeler can apply different processes as well as algorithms to help the user discover information hidden in the data. Both tools allow users to build predictive models as well as implement other analytics tasks.
Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. A: SPSS Modeler delivers data mining as well as text analysis software, while SPSS Statistics is an integrated family of products.