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Description

Data science is the future and among the hottest trends in the job market right now. Not only IT, but every sector, from Banking to Healthcare, and Transport to E-Commerce, is now realizing the disruptive powers of data science and using it to enhance business. Among the most popular programming languages used to write data science applications is R. Open source, highly flexible, a large number of libraries, easy-to-learn - all these make R the go-to software for Data Science. It also has capabilities to produce a range of graphics including charts, plots, and graphs that can be used for presentations.

R Programming for Data Science course prepares you with R Programming capabilities for Data Manipulation, Exploratory Data Analysis and Data Visualization which are an absolute must for being a Data Science expert. You will be part of the most cutting-edge companies that are leading the technology revolution. Enroll now and take advantage of the flexible learning modes and comprehensive workshop offered by KnowledgeHut.

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What You Will Learn

1. Basics of R

Learn to install R studio -  Explore R language fundamentals, including basic syntax, variables, and types

2. Data Structures

Learn about the different 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.    Use functions and import packages

5. Analyzing Data

Manipulate and analyze dataset in R using Dplyr.

6. Data Visualization

Use various R libraries to visualize data. Create and customize plots on real data

6. Data Visualization

Use various R libraries to visualize data. Create and customize plots on real data

1. Basics of R

Learn to install R studio -  Explore R language fundamentals, including basic syntax, variables, and types

2. Data Structures

Learn about the different 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.    Use functions and import packages

5. Analyzing Data

Manipulate and analyze dataset in R using Dplyr.

6. Data Visualization

Use various R libraries to visualize data. Create and customize plots on real data

1. Basics of R

Learn to install R studio -  Explore R language fundamentals, including basic syntax, variables, and types

Prerequisites

Anybody who is a Data Science aspirant with coding or non-coding background

Who should Attend?

Those interested in data science who want to learn essential skills
Those new to R and looking for a more robust, structured learning program
Software or Data Engineers interested in learning R for Data Science

KnowledgeHut Experience

Instructor-led Experience

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.

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.