This course covers advanced topics to aid in the preparation of data for a successful data science project. You will learn how to use functions, deal with missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency.

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Course Description

Advanced Data Preparation using IBM SPSS Modeler V18.1.1 online course get started with fundamentals of data modeling techniques. Advanced Data Preparation using IBM SPSS Modeler V18.1.1 online course intention is to provide a foundation to implement entire range of techniques in IBM SPSS Modeler.

Advanced Data Preparation using IBM SPSS Modeler V18.1.1 online course will allow the participants to understand the benefits of learning familiarity with modeler environment.

Advanced Data Preparation using IBM SPSS Modeler V18.1.1 online course is ideally developed for any IT professionals who wants to expertise in IBM SPSS Modeler for data preparation. 

In the Advanced Data Preparation using IBM SPSS Modeler V18.1.1 online training course, Uplatz provides an in-depth online training for the participants or learners to gain knowledge and able to use components of IBM SPSS modeler. Uplatz provides appropriate teaching and expertise training to equip the participants for implementing the learnt concepts in an enterprise.

Advanced Data Preparation using IBM SPSS Modeler V18.1.1 online training course curriculum covers advanced topics to help in the preparation of data for a successful data science project, handle sequence data, apply advanced sampling methods, and improve efficiency.

With the help of Advanced Data Preparation using IBM SPSS Modeler V18.1.1 online course, the learners can discover:

• Inhouse Terminology and concepts related to the Advanced Data Preparation using IBM SPSS Modeler V18.1.1 

• Learn how to use functions

• Manage and deal with missing values

• Make use of advanced field operations

Uplatz provides an in-depth training to the learners to accelerate their knowledge and skill set required for a Data Modeler.

Target Audience

This advanced course is intended for anyone who wants to become familiar with the full range of techniques available in IBM SPSS Modeler for data preparation.

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1: Using functions to cleanse and enrich data • Use date functions • Use conversion functions • Use string functions • Use statistical functions • Use missing value functions 2: Using additional field transformations • Replace values with the Filler node • Recode continuous fields with the Binning node • Change a field’s distribution with the Transform node 3: Working with sequence data • Use sequence functions • Count an event across records • Expand a continuous field into a series of continuous fields with the Restructure node • Use geospatial and time data with the Space-Time-Boxes node 4: Sampling, partitioning and balancing data • Draw simple and complex samples with the Sample node • Create a training set and testing set with the Partition node • Reduce or boost the number of records with the Balance node 5:  Improving efficiency • Use database scalability by SQL pushback • Process outliers and missing values with the Data Audit node • Use the Set Globals node • Use parameters • Use looping and conditional execution
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