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Description

R is one of the leading statistical programming languages used by statisticians and data scientists.
Part of the reason for its popularity is that it is sophisticated, versatile and flexible and has uses in a variety of fields, be it engineering, business, medicine or science. R allows data analysis in a variety of methods and also has capabilities to produce a range of graphics including charts, plots, and graphs that can be used for presentations. This course offers an expert’s eye overview of how these advanced tasks fit together in R as a whole along with practical examples.

You will learn about the primary functions of R such as its installation and how to use it for data analyses and manipulation. Through hands-on exercises and in-depth coaching, you will learn about R data structures, basic R commands, how to use graphics, writing R functions and R flow control structures.

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What you will learn

1. Basics of R

Install R studio and explore R language fundamentals, including basic syntax, variables, and types

2. Data Structures

Learn about data structures that R can handle. Create and manipulate regular R lists, tuple etc.

3. Conditional Statements

Learn about control and loops statements

4. Object Oriented Programming

Learn to write user defined functions and object oriented way of writing classes and objects.

5. Functions

Use functions and import packages

6. Querying and Filtering

Learn how to apply data processing functions in R to describe data and perform operations on it

7. Summarizing

Learn to Summarize the data which helps you to take necessary steps for further analysis

8. Visualization

Learn to visualize data in R using basic data visualization technique

8. Visualization

Learn to visualize data in R using basic data visualization technique

1. Basics of R

Install R studio and explore R language fundamentals, including basic syntax, variables, and types

2. Data Structures

Learn about data structures that R can handle. Create and manipulate regular R lists, tuple etc.

3. Conditional Statements

Learn about control and loops statements

4. Object Oriented Programming

Learn to write user defined functions and object oriented way of writing classes and objects.

5. Functions

Use functions and import packages

6. Querying and Filtering

Learn how to apply data processing functions in R to describe data and perform operations on it

7. Summarizing

Learn to Summarize the data which helps you to take necessary steps for further analysis

8. Visualization

Learn to visualize data in R using basic data visualization technique

1. Basics of R

Install R studio and explore R language fundamentals, including basic syntax, variables, and types

Prerequisites

Participants are expected to have basic programming knowledge

Who should Attend?

Those interested in the field of data science and want to learn R programming
Those looking for a more robust, structured learning program
Software or Data Engineers interested in learning R Programming

KnowledgeHut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning

Curriculum Designed by Experts

Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the training.

Learn through Doing

Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied in the real world.

Mentored by Industry Leaders

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.