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Instructor led Live Training

  • 22 hours Live Sessions
  • 8 hours MCQs and Assignments
  • 16 hours of Hands-on with R
  • Includes 3 Use Cases
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Team/Corporate Training

Training delivered for your teams as per your requirements

One To One Training

Get the benefits of personalized training with your own trainer

Description

One of the leading programming languages, R is widely used for statistics and data modelling. Its popularity can be attributed to the fact that is that it is sophisticated, extremely versatile and flexible and can be applied in a variety of fields,  including data science, engineering, business, medicine and pure science. R allows data analysis using a variety of statistical techniques, such as linear and nonlinear modelling, classical statistical tests, time-series analysis, to name a few; and also has capabilities to produce a range of graphics including charts, plots, graphs and so on that can be used for presentations.
Our course offers an expert's-eye overview of how these advanced tasks fit together in R as a whole along with practical examples. Through hands on exercises and in-depth coaching you will get a thorough understanding of R, its data structures, data processing functions and data summarizing with R.
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What You Will Learn

1. Basics of R

Install R studio. 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 to apply data processing functions in R for describing and performing operations on data.

7. Summarizing

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

7. Summarizing

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

1. Basics of R

Install R studio. 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 to apply data processing functions in R for describing and performing operations on data.

7. Summarizing

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

1. Basics of R

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

Prerequisites

While there are no prerequisites, participants would benefit if they have elementary programming knowledge.

Who should Attend?

Those interested in the field of data science
Those who want to learn R programming from scratch
Those looking for a robust, structured learning program on R
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.