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R for Data Science Courses
Level up your data analysis skills and go from novice to expert with our R Training for Data Science
22
hrs Live Training60
hrs MCQs, Assignments3
Live Projects16
hrs Hands-on with R
22
hrs Live Training60
hrs MCQs, Assignments3
Live Projects16
hrs Hands-on with R
Instructor led Live Training
- 22 hours Live Sessions
- 60+ hours MCQs and Assignments
- 16 hours of Hands-on with R
- Includes 3 Live Projects
One To One TrainingGet the benefits of personalized training with your own trainer
Get the benefits of personalized training with your own trainer
Team/Corporate TrainingTraining delivered for your teams as per your requirements
Training delivered for your teams as per your requirements
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.
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
Prerequisites
Anybody who is a Data Science aspirant with coding or non-coding background
Who should Attend?
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.