Short-term Courses on Data Science
CDAC, Kharghar, Navi Mumbai
April 20-22, May 18-20, June 15-17, 2017
We are living in a Data Age. Data is being continuously generated and consumed in various formats and sizes from several varied sources. This data can be a big asset if stored, processed and analysed efficiently with the help of intelligent algorithms. There is growing interest to utilize such data for the improvement of business, health, education, society, etc. There are many ways to process and analyse such data, covering broad areas such as data visualisation, text analysis, predictive models, and recommendations. Effective applications of these techniques can give organisations valuable insights leading to competitive advantage, efficient service delivery and above all higher customer satisfaction. The demand for skilled resources in these fields is also growing day by day.
With this view, CDAC Mumbai is announcing a series of short-term courses in Data Science and Machine Learning. We had conducted a similar series of short-term courses on Data Science in 2016, which received overwhelming response for participation.
1. Using R for data visualization and analytics: This course
introduces R , a language and environment for Statistical Computing
and Visualization. In recent years, R has become very popular due its
open source cross-platform nature, robust package repository and
strong graphics capabilities.
During the course, one will not only learn about basics of R, but also about techniques of data acquisition and processing. Course will also cover in detail the features of R related to data analysis and visualization.
2. Text Analytics: The course aims to provide learners an
understanding of the methods for text analytics. It will cover major
techniques for mining and analyzing text data to discover interesting
patterns, extract useful knowledge, and support decision making.
The techniques will include Named Entity Recognition, Sentiment Analysis and Text Categorization among others. Learners will also be introduced to various open source utilities for developing text analytics applications.
3. Predictive Analytics and Recommender Systems: The course
covers various methods of Predictive Analytics and Recommender
Systems drawn from Statistics, Data Mining, and Machine Learning. We
will discuss popular algorithms in the domain and their use in
The course emphasizes hands-on approach for better understanding of the techniques used in the domain. During the course, mainly open-source tools will be used for illustrations and lab.
Individuals, students, and professionals from government, industry, and academia working / interested in Data Science
|Course Name||Using R for data visualization and analytics||Text Analytics||Predictive Analytics and Recommender Systems|
|Course Dates||April 20-22, 2017||May 18-20, 2017||June 15-17, 2017|
|Registration Final Date||April 05, 2017||May 03, 2017||June 01, 2017|
Registration Process: Registration fee per course for a full-time Faculty/Student in Recognized Educational Institution is Rs.7500/-, Industrial Professional and Others: Rs.9000/-. For more details about registration and payment process, please visit http://www.kbcs.in/datascience
Registration will be on first come first serve basis. Final participation in any of the courses will be subject to the realization of payment of applicable registration fee. Fee will cover course material including a pen-drive, lunch and refreshments. Participation certificates will be issued to all participants who complete the course.
Centre for Development of Advanced Computing (Formerly NCST)
Near Bharati Vidyapeeth, Raintree Marg, Sector 7, CBD Belapur,
Navi Mumbai 400614, Maharashtra, INDIA
Telephone: + 91-22-2756 5303 / 5308
E-mail: kbcs(at)cdac(dot)inURL: http://www.kbcs.in/datascience