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Introduction to R Programming for Data analysis

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Course type: Online Instructor led Course

Platform: Gotomeeting

Course ID: 16668

Course type: Online Instructor led Course

Platform: Gotomeeting

Students Interested 2 (Seats Left 0)

No Reviews Yet

About the Course

This would be a 1 week hands on workshop , starting from the very basics to the advanced level of R programming

Topics Covered

1. Understand the fundamentals of 'R' programming 2. Explore data manipulation with functions like lapply(), tapply(), sapply(). 3. Apply various Data Importing techniques in R 4. Perform exploratory Data Analysis. 5. Data manipulation in R, univariate and bivariate analysis 6. Writing user defined R functions 6. Apply Data Visualisation to create fancy plots 7. Various distance calculation methods and classification algorithms 9. Implement k-means clustering algorithm 12. Understand the concept of Linear Regression

Who should attend

Any working professional, any undergrad or post grad student willing to learn R programming to make career in data analytics domain should attend this course.


Some basics of programming and basic statistics knowledge


Key Takeaways

In depth knowledge on R programming 


Mode of lecture :

Gotomeeting /Skype


Time: morning 5 am to 8 am IST 


Date and Time

Not decided yet.

About the Trainer

Ashish R picture

4.92 Avg Rating

52 Reviews

56 Students

8 Courses

Ashish R

Professional Doctorate in Industrial Statistics(TU/e),M.Sc in Maths and Computing (IIT)

10 Years of Experience

Presently working as a business consultant based in Bangalore, India. More than 7 years of experience in solving various industrial problems using Applied Mathematics and Statistical techniques. Worked in Netherlands and Belgium for 2.5 years on various projects for biggies like Philips Medical System, Dow Chemicals, ASML, PSA-HNN, Bavaria Brewery. Have extensive experience in designing study material and delivering lectures on applying statistics in solving various business problems.


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Students Interested 2 (Seats Left 0)

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