Online R programming for Data Science

Offered bySkillSir
Private Institute

Online R programming for Data Science
at
SkillSir
Overview

Learn everything you need to know about R Programming and give a boost to your professional career

Duration	40 hours
Total fee	₹3,000
Mode of learning	Online
Credential	Certificate

Online R programming for Data Science
at
SkillSir
Course details

Who should do this course?

For Participants who want to switch careers and move to data science and leverage the experience of leading industry and academic experts

What are the course deliverables?

Use R to solve problems related to the real world bridging the gap between pure academic delivery and actual industry requirements
Fundamentals of R syntax
Assigning variables and doing simple operations with R
Data structures -vectors, lists, dictionaries, matrix, arrays and data frames.
Conditional statements, functions, classes and debugging
Reading and writing data in R, whether it's a table format (CSV, Excel), text file (.txt), web database or a cloud based database
Important functions for character strings and dates in R
Using deep learning library Tensorflow using R
R scripting to execute the codes automatically and put in production
Use R in the cloud environment

More about this course

Learn how to program in R and how to use it for effective data analysis
Learn how to install and configure the software necessary for a statistical programming environment
We will also discuss generic programming language concepts as they are implemented in a high-level statistical language
The module covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging and organising and commenting R code

Online R programming for Data Science
at
SkillSir
Faculty details

Mr. Amit Saraswat, (Ex VP-Big Data Home Credit | Ex-Fidelity) (Ex-Lending Kart | IIT Roorkee)

More than 8 years of training experience. Delivered corporate trainings in predictive modelling at Deloitte, WNS, Persistent, HP, Cognizant, UNISYS, E&Y, Metlife, Technosoft. Was a Featured faculty scholar at SAS Global forum 2013