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Certificate in R Programming for Beginners

Self- Paced

Fee: 1,999

Priyanka Sharma | Trainer (Subject Expert ) Future Skill Academy

This course gives a comprehensive introduction to R, a popular programming language for statistical analysis and data visualization. You will learn the fundamentals of R programming, starting from the basics of variables, data types, and operators. Programming concepts like loops, conditionals, and functions. You will understand data structures in R, learn data manipulation and data analysis in R. Work with various R libraries like dplyr, ggplot2. Visualize data in R. Hands-on coding exercises to equip with the skills to handle data manipulation, analysis, and visualization tasks.

Objectives

The R Programming for Beginners course aims to equip participants with a solid foundation in R programming language. Through this course, learners will understand the fundamentals of R, including variables, data types, and operators. They will explore essential programming concepts like loops and conditionals, and gain proficiency in working with data structures such as vectors, matrices, and data frames. Participants will learn how to manipulate and transform data, create visualizations, and apply statistical analysis techniques using R. By the end of the course, learners will have developed basic programming skills, a deep understanding of R's capabilities, and the ability to tackle data analysis tasks with confidence.

Understand the basics of R programming language

Learn about variables, data types, and operators in R

Explore control structures such as loops and conditionals

Gain knowledge of data structures in R, including vectors, matrices, and data frames

Perform data manipulation and transformation using R

Create visualizations and graphs using R's plotting capabilities

Develop basic programming skills and best practices in R

Complete hands-on exercises and projects to reinforce learning

What Will You Learn

Upon completion of the course, participants will have developed a strong grasp of R programming, enabling them to proficiently handle data manipulation, perform basic statistical analysis, and create impactful data visualizations. Equipped with these skills, participants will be well-prepared to embark on a career in data analysis or data science, using R as their primary tool. This course serves as a fundamental stepping stone, providing participants with the essential knowledge and abilities needed to succeed in the field.

Skills you will gain
R Programming
Data Manipulation
Data Visualization
Problem-Solving
Data Cleaning
Data Exploration
Data Wrangling

Curriculum

  • Module 1 - Introduction to R Programming

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  • Module 2 - Basics of R Programming

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  • Module 3 - Data Types and Data Structure in R

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  • Module 4 - File Handling in R

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  • Module 5 - Data Manipulation in R using Data Set

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  • Module 6 - Data Visualization Capstone Project

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Instructor

Priyanka Sharma
Trainer (Subject Expert ) Future Skill Academy
AI , ML , Data science , Power BI, Python , R

Presently she is working as a IT Trainer (Subject Expert )at Future Skill Academy, AISECT, Bhopal. She is having over 4 years of Industry Experience. She has previously worked with companies like Scry Analytics, Byju's, and Edureka. Developed Learning content for YouTube, and Udemy. Hosted Europe Big Data International Conference on Machine Learning and recent developments in the field of Big Data

4.9 562 856 Learners
Shareable Certificate
Certificate Sample - Aisect Learn

Other Details

Certificate in R Programming for beginners

Level
Basic
Fees
1,999

Still have queries? Talk to our counselors who are available to guide you

FAQs

  • Do this course includes certificate?

    Yes

  • Do this course has lifetime access or limited period access?

    This course comes with the 1 year access

  • Is this course available in Hindi Version as well

    Not Now, This course will be available in Hindi language soon on AISECT Learn platform.

  • What are the advantages of this course?

    Students who complete this course will gain a foundational understanding in natural language processing methods and strategies. They will also learn how to evaluate the strengths and weaknesses of various NLP technologies and frameworks as they gain practical experience in the NLP toolkits available.

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