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Analytics foundation & Data science with R

4 Reviews

Rajarajeshwari Nagar, Bangalore

Course ID: 43309

Rajarajeshwari Nagar, Bangalore

Students Interested 0 (Seats Left 0)

4 Reviews

About the Course

Who is this course for?

This tutorial is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.

What will the students learn in this course?

Unit 1: An overview of Data Science and Analytics    

Unit 2: Business Statistics & Applications

Unit 3: An Introduction to R Language and Platform

Unit 4: A Perspective on Big Data Analytics

Unit 5: Predictive models and Machine learning

 Is there anything the students need to bring to the class

 Interest to learn the Data Science concept.


Before proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages will help you in understanding the R programming concepts and move fast on the learning track.



Store Clustering Objective of the study was to create clusters based on certain parameters. There are 515 store spread across Tamil Nadu and Karnataka to identify the buying behavior in these stores. K-Means Clustering technique used in R to analyze data, create cluster profiles and provide recommendations based on cluster profiles

 Car Price Estimation Objective of the study was to run a regression model that will  explain the price of a car as a function of different attributes. Linear Regression modeling technique used in R to analyze and formulate the results.

Date and Time

Not decided yet.

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About the Trainer

Hayavadan Nargund picture

4.5 Avg Rating

10 Reviews

10 Students

1 Courses

Hayavadan Nargund


10 Years of Experience

I am working as a Asst.Professor(Dept of MCA) in engineering College Bangalore with 10 years of academic experience.
I have completed post graduate in computer applications.
I Handled subjects like - C,C++,CG,SP,JAVA,J2EE,UNIX,ADA,OOMD,NOSQL,BigData Analytics.

Student Feedback


Average Rating




Bhargavi S

Good teaching and convincing professor, good helping nature for students in academic accepts good knowledge on subject and updated softwares with market.



Good faculty but so much assumptions about students which is not true.



Hayavadhan sir is the best faculty for MCA department, RRCE. The quality of teaching is satisfactory and also need to engage in latest technology where he can teach the students well. Overall he is good in nature and can rate him as 8/10 according to his teaching profession.



We had a very good experience with sir. If we had any doubts he used to teach and clarify the doubts. The way of teaching is really good we loved it. Not only the academic subjects other activities related to technical activities he used to help us. Overall it was good.


Students Interested 0 (Seats Left 0)

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