SPSS Training in Kathmandu Nepal

SPSS Training in Kathmandu Nepal

Attend SPSS training in Kathmandu Nepal. Open Eyes IT Solution provides more than 150+ IT and Business training courses throughout Kathmandu Nepal. Whether you're looking for customized onsite spss training for a private group throughout Kathmandu Nepal area or a public instructor-led online spss class, Open Eyes IT Solution has the solution for you.

SPSS Training in Kathmandu Nepal

With IBM SPSS predictive analytics software, you can predict with confidence what will happen next so that you can make smarter decisions, solve problems and improve outcomes. By using SPSS, uncover hidden insights in your customer data so you can create personalized experiences that win more business while reducing costs and increasing customer loyalty.

SPSS Training in Kathmandu Nepal

In addition, ensure your people, processes and assets are aligned and optimized to maximize productivity and profitability. You can also capitalize on the promise of big data with predictive analytics solutions based on an integrated and open architecture that supports popular Hadoop distributions. Finally, monitor your business environment, detect suspicious activity, and control outcomes to minimize exposure and loss.

SPSS Training in Kathmandu Nepal

Introduction To IBM SPSS Modeler And Data Mining (V15) Course Description

Introduction to IBM SPSS Modeler and Data Mining is a two day basic course that provides an overview of data mining and the fundamentals of using IBM SPSS Modeler. The principles and practice of data mining are illustrated using the CRISP-DM methodology. The course structure follows the stages of a typical data mining project, from reading data, to data exploration, data transformation, modeling, and effective interpretation of results. The course provides training in the basics of how to read, explore, and manipulate data with IBM SPSS Modeler, and then create and use successful models.

SPSS Training in Kathmandu Nepal

Introduction to Data Mining

Explain the stages of the CRISP-DM process model.

Describe successful data mining projects and the reasons why projects fail.

Describe the skills needed for data mining.

SPSS Training in Kathmandu Nepal

Working with Streams

Describe the different areas of the Modeler User Interface.

Work with nodes and Supernodes.

Run, open and save a stream.

Access the help function within Modeler.

SPSS Training in Kathmandu Nepal

Data Mining Tour

Explain the primary concepts used in data mining.

Build, evaluate and deploy a model.

Use the Sort and Filter nodes.

Collecting Initial Data

Explain the concepts of "data structure", "records", "fields", "unit of analysis", "storage".

Read data from and export data to various file formats

SPSS Training in Kathmandu Nepal

Data Understanding

Examine the distributions of categorical and continuous fields.

Explain the most common ways of handling missing data.

Explain how to set Modeler to check data quality and select valid records.

Setting the Unit of Analysis

Remove duplicate records.

Aggregate data.

Integrating Data

Add records from multiple datasets into one dataset.

Add fields from multiple datasets into one dataset.

Use sampling for testing purposes.

Deriving and Filling Fields

Use CLEM to transform data.

Use the Derive node to create a new field.

Use the Reclassify node.

Use the Reorder node to reorder fields.

SPSS Training in Kathmandu Nepal

Looking for Relationships

Examine the relationship between two categorical fields.

Examine the relationship between two continuous fields.

Examine the relationship between one continuous field and one categorical field.

Introduction to Modeling

Modeling objectives

Introduction to Classification

Introduction to Segmentation