1. Data
MINING: overview
This 1-day course
introduces you to the major steps of the data mining process. The
course goal is for you to be able to begin planning or evaluate your
firm’s current plan for data mining. Topics include: setting goals;
framing research questions; organizing, cleaning and reducing data;
selecting analysis methods, presenting and automating. This is the
first course in the SPSS Data Mining series. Detailed examination of
the data mining steps will be provided by other courses within the
SPSS Data Mining series. Given the overview nature of the course,
there will be class discussion but no hands on practice using
SPSS Modeler.
2. Introduction to Data Mining Techniques using
SPSS Modeler
This comprehensive 3-days
course logically guides attendees through the fundamentals of using
SPSS Modeler. The course is
structured so as to provide effective training in the data
mining process – data input, data modification, data analysis and data
modeling which involve training and testing of models generated.
Attendees will learn to efficiently utilize the functions available in
SPSS Modeler so as to get the
most from their data. Through a series of “hands-on” session, they
will gain that vital experience to become a better data miner.
(Modules Used:
SPSS Modeler)
1. data MINING: data
understanding & preparation
This 2-days course reviews
the issues and considerations relevant when business research
questions are to be addressed by data mining. Included are such topics
such as framing answerable and testable business analysis questions,
research design, the importance of sampling and selecting relevant
comparison groups, the influence of data type on analysis method and
how to choose among the available data mining/statistical methods.
This course is aim at those without background in research methods (or
a refresher for those who have). Given the nature of this course,
there will be class discussion but little of hands-on practice using
SPSS Modeler and SPSS Base.
(Modules Used:
SPSS Modeler and SPSS Base
Stats)
2. data MANIPULATION USING
SPSS Modeler
This 2-days course,
designed for current users of SPSS
Modeler, reviews a number of data manipulation techniques
available within SPSS Modeler.
Attendees will see how to combine and manipulate files, sample data,
handle missing values, and work with dates and sequence data.
(Modules Used:
SPSS Modeler)
3. data MINING: modeling
This 2-days course will
introduce, explain, compare and contrast the major modeling methods in
data mining and illustrate them using SPSS software. It will enable
SPSS customers to choose, apply and interpret the results from the
data mining method appropriate for their business question.
(Modules Used: SPSS
Base Stats, SPSS Modeler)
4. data MINING: visualization,
reporting and deployment
This 2-days course
presents several topics important for data mining. It first covers how
graphics can be used to obtain insight into patterns and relations in
data. Next, it demonstrates how to produce business reports using the
SPSS OLAP Cube procedure. Finally, it presents SPSS solutions to the
question of how to deploy results.
(Modules Used: SPSS
Base Stats, SPSS Modeler)
1. ADVANCED MODELING USING
SPSS Modeler
This 2-days course,
designed for current users of SPSS
Modeler, reviews the expert options available in the
SPSS Modeler modeling dialogs
(neural networks, rule induction, clustering and association rules,
linear and logistic regression) and introduces advanced modeling
methods, such as meta modeling.
(Modules Used:
SPSS Modeler)
