Three-day Hands-on Workshop on Data Modelling, Mining & Analytics
5-7 May 2015, Travancore Hall, Technopark, Trivandrum
R is today widely recognized as the world's most powerful statistical
software environment. As a Free and Open Source Software (FOSS), R has
been developed and maintained by a community of passionate enthusiasts,
who have also been developing modules for extending the capabilities of
the base R package. The R Ecosystem is today capable of not only of the
most sophisticated statistical analyses, but also is able to communicate
with other software packages ranging from spreadsheets, graphing tools
and typesetting tools such as LaTeX.
Data Mining and Analytics is a mainstream business function today
that employs some of the more sophisticated modelling, analysis and
visualization techniques available. Once the domain of expensive
proprietary tools, R and its associated tools are today capable of
carrying out these at a fraction of the costs, in a more flexible and
extensible manner when compared to proprietary tools. Besides, as a FOSS
tool, R avoids the problems of vendor lock-in as well.
The 3-day workshop will expose participants to basic and intermediate
topics in the use of R in Data Mining, Analytics and Visualization. The
programme is directed at students, teachers, researchers, and IT
professionals. Participants are required to bring their laptops
installed with R and the R packages for Data Mining as indicated in the Rattlehome page under Install. It is also suggested thatRStudio be
installed. All this software is open source and freely available.
Participants are also expected to be conversant with basic statistics.
The resource person for the 3-day Workshop is Dr Graham Williams,
PhD, Data Scientist, Togaware and Australian Taxation Office; Adjunct
Professor, Australian National University and University of Canberra,
Australia; and International Visiting Professor, Chinese Academy of
Sciences. Dr. Williams is the author of the Rattle, the well-known
mining and analytics tool built on top of R, which will be featured in
The 3-day workshop will touch upon basics of installation and
configuration of R, and will focus on data mining, data analytics,
modelling and visualization. Rattle supports supervised and unsupervised
Supervised analytic models can be used to identify fraud or predict
future patterns of behaviour. Building such models is well supported by
Rattle. Decision trees, radom forests, boosted trees, support vector
machines, neural networks and generalised linear models are all
supported out of the box. Models can be visualised using the different
tools available in R.
Data can be transformed into the shapes required for modelling. The
performance of models can be graphically presented. Rattle also supports
the scoring of new datasets and export of models as PMML for deployment
in the Cloud.
Plse see the Program Schedule tab for specific topics covered.
Fees for the 3-day workshop (inclusive of lunch and tea) is as follows:
Rs. 1,700 (Inclusive of tax)
Rs. 3,400 (Inclusive of tax)
Seats will be allocated on a
first-come-first-served basis. Please register using the Registration
tab on the top of this page. For any enquiries, kindly contact Hasiya by
email (firstname.lastname@example.org) or phone (+91 471 2700012).