IIT Hyderabad Certification Course

I want to do Certificate Course in Indian Institute of Technology Hyderabad so can you please provide me the details of the course?

Indian Institute of Technology Hyderabad offers Certificate Course in Advanced Business Analytics using R

Certificate Course in Advanced Business Analytics using R

This is a five-day case-study based course with extensive hands-on exercises using the R statistical software.

Participants will develop a deeper understanding of concepts like classification, regression, time series forecasting, sentiment analysis, market basket analysis, clustering and usage of the R statistical software.

The course provides participants with the knowledge and essential skills needed to address the challenges of data intensive decision-making environments.

This course is being conducted by the Computer Science and Engineering Department, Indian Institute of Technology, Hyderabad.

Course dates: 21st (Wednesday) to 25th (Sunday) December 2016.

Eligibility Criteria-

Undergraduate level knowledge in mathematics or statistics

Course fees without accommodation-

Course fee is INR 24,000. The course fees are inclusive of one set of course material, refreshments, breakfast and lunch.

There is free tranportation by IIT bus between Miyapur, Hyderabad and IIT Hyderabad is available.

If you are interested to use this facility please mention in the application.

Course fees with accommodation-

Course fee is INR 29,000.

The course fees are inclusive of one set of course material, refreshments, breakfast, lunch, accommodation in hotel like Hotel Sree Krishnaa Grand, Miyapur, Hyderabad on twin sharing basis and transportation between hotel and IIT Hyderabad by IIT bus.

Course content-

1. Getting to know your data, data cleansing and data transformation using R

2. Standard linear regression using R

Building a linear model
Performance tuning of linear model
Building a polynomial model
Ridge Regression
Penalty based variable selection in regression models with many parameters(Lasso)
Case study

3. Logistic regression using R

Building a linear model for binary response data
Interpretation of regression coefficients
Classification of new cases
Building a polynomial model for binary response data
Performance tuning of model
Multinomial logistic regression
Case study

4.Clustering using R

K-Means clustering
K-Medoids clustering
Hierarchical clustering procedures
Density based clustering procedures
Case study

5. Time series analysis

Reading, plotting and decomposing time series data
Forcasting using exponential smoothing
Case study

6. Market basket analysis using R

7. Text mining using R

8. Big data analytics using mapreduce (Rhadoop)

Contact-

Indian Institute of Technology Hyderabad
NH65, Sangareddy, Telangana 502285

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Answered By StudyChaCha Member