Data Preparation using IBM SPSS Modeler Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

The Data Preparation using IBM SPSS Modeler training 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.

By attending Data Preparation using IBM SPSS Modeler workshop, delegates will learn:

Using functions to cleanse and enrich data
Using additional field transformations
Working with sequence data
Sampling, partitioning and balancing data
Improving efficiency

Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and basic knowledge of modeling.

The Data Preparation using IBM SPSS Modeler class is ideal for:

Anyone who wants to become familiar with the full range of techniques available in IBM SPSS Modeler for data preparation.

Using functions to cleanse and enrich data

Use date functions
Use conversion functions
Use string functions
Use statistical functions
Use missing value functions

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

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

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

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

Encarta Labs Advantage

One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
All courses are delivered by Industry Veterans
Get jumpstarted from newbie to production ready in a matter of few days

Trained more than 50,000 Corporate executives across the Globe
All our trainings are conducted in workshop mode with more focus on hands-on sessions