About the course
In this course, the candidate will learn about the language R and its practical
applications. This course is designed to make the students aware about various topics
like- the installation of R language and configuration of the necessary software for
statistical programming environment and other language concepts. It will provide a deep
highlight on different topics like statistical programming, reading data into E, writing R
functions, de-bugging, and organizing R codes.
After getting the certificate, the candidate can join the company as a data scientist or as a business analyst.
What will the candidate learn through this course?
The candidate can learn the varied topics through this course:-
You will learn how to navigate through the Rstudio interface
Learn about how to make the graphs
You will get to know about the basic R structure including the packages
You will learn about how to perform the basic R commands in the programming language
You will learn how to handle the R tools, add-on packages and how to find your way in the R world.
Prerequisites before joining the course
There are certain requirements that one needs to comply before joining the course like:
There should be a deep interest in the statistical programming
You need to have a computer along with the knowledge to run R Studio
Basic understanding of data analytics and structure
No prior knowledge of programming is required
So, if you are interested in data science or want to learn the language R from scratch or if you are looking for step by step process to learn the language R, look no further this course is meant for you.
Back to topContent that will be taught
This course will teach you about the installation of R, R studio interface, how to use the R exercise database and the R tools. Then you will learn about different ways on how to import data, coding steps and functions, loops and use other tools. The course would take approx. 3 to 5 hours, and there are certain exercises available for you.
The course will teach you about data analytics and data science, which helps in business planning. Data science is a brand that employs techniques and theories in the different fields like mathematics, machine learning, statistical learning, computer programming, and predictive analysis.
Data Science Cycle:
Gathering Data
Organize data
Analyze data
Decisions
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Back to topAvailable delivery methods for this course:
Classroom
In-house
Online
Virtual
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