R Programming Course in Chandigarh

Webtechlearning provide the best training in R Programming in Chandigarh, Punjab India.

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Course Syllabus

The course will cover the following material each week:

• Week 1: Overview of R, R data types and objects, reading and writing data
• Week 2: Control structures, functions, scoping rules, dates and times
• Week 3: Loop functions, debugging tools
• Week 4: Simulation, code profiling

Recommended Background

Some familiarity with programming concepts will be useful as well basic knowledge of statistical reasoning; Data Scientist’s Toolbox

Suggested Readings

The e-book R Programming for Data Science covers all of the material presented in this course. It is available for download from Leanpub.

Course Format

There will be weekly lecture videos, quizzes, and programming assignments.

FAQ

How do the courses in the Data Science Specialization depend on each other?
We have created a handy course dependency chart to help you see how the nine courses in the specialization depend on each other.

Will I get a Statement of Accomplishment after completing this class?
Free statements of accomplishment are not offered in this course. If you are not enrolled in Signature Track, participation and performance documentation will be reported on your Accomplishments page, but you will not receive a signed statement of accomplishment.

What resources will I need for this class?
A computer is needed on which the R software environment can be installed (recent Mac, Windows, or Linux computers are sufficient).

How does this course fit into the Data Science Specialization?
This is the second course in the sequence. We strongly recommend that you takeThe Data Scientist’s Toolbox before taking R Programming.