#1
11th April 2015, 01:05 PM
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IIT Hyderabad Analytics Course
Hey, I am student of the Certification course on Business Analytics at IIT Hyderabad . Due to some reasons I was not attend the Lectures of the course. Will you tell me from where I can download the Lectures notes of the IIT Hyderabad curriculum for Certification course on Business Analytics course ?
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#2
23rd July 2018, 03:53 PM
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Re: IIT Hyderabad Analytics Course
Hello sir, is there any one can tell me which Analytics Course is offered by IIT Hyderabad? Please provide me detail for IIT Hyderabad Analytics Course?
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#3
23rd July 2018, 03:55 PM
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Re: IIT Hyderabad Analytics Course
The IIT Hyderabad is provides Analytics Course. The Certificate Course in Advanced Business Analytics using R is offered by IIT Hyderabad. This program is a five-day case-study based course with extensive hands-on exercises using the R statistical software. Candidates 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. This course is being conducted by the Computer Science and Engineering Department, Indian Institute of Technology, Hyderabad. Course dates are closed: 21st(Thursday) to 25th(Monday - Christmas) December 2017. R statistical software: R provides a programming language and software environment for statistical computing and graphical reporting. Here is Doc file for application of IIT Hyderabad Analytics Course: Course contents: Getting to know your data, data cleansing and data transformation using R Standard linear regression using R Building a linear model Performance tuning of linear model Building a polynomial model Case study Penalty based variable selection in regression models with many parameters 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 Case study Performance tuning of model Multinomial logistic regression Clustering using R K-Means and k-medoids clustering Case study Hierarchical clustering procedures Time series analysis Reading, plotting and decomposing time series data Forcasting using exponential smoothing ARIMA models Market basket analysis using R Text mining using R Big data analytics on high performance computing systems using R parallel programming |