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Learn R Programming for Data Science: From Novice to Expert
Equip yourself with essential R programming skills and practical data analysis techniques. Master the foundations and advance to real-world applications.
Last updated
4/2024
Beginner
Level6h 14m
Full lifetime access
Access on laptop, tablet and mobile devices
Certificate of completion
Overview
This course provides a comprehensive and thorough introduction to the field of Data Science, with a specific focus on the R programming language. This course aims to equip aspiring Data Scientists with the necessary knowledge and skills to effectively utilize the R programming language, along with its various methods and functions, in their data analysis endeavors.
Course Content
The course begins by guiding students through the process of installing R and R Studio, ensuring that they have the necessary tools to embark on their Data Science journey. From there, the course delves into a wide range of essential topics, covering everything from R data types and variable assignment to arithmetic operations, vectors, matrices, factors, data frames, and lists. By providing in-depth coverage of these foundational concepts, the course ensures that students have a solid understanding of the basics before moving on to more advanced topics.
In addition to the core concepts, the course also explores important aspects such as operators, conditionals, loops, functions, and packages. These topics are crucial for students to grasp as they form the building blocks of efficient and effective data analysis using the R programming language. Furthermore, the course addresses the application of regular expressions, data acquisition and cleaning, plotting, and data manipulation using the dplyr package. By covering these practical aspects, the course ensures that students are well-equipped to handle real-world analytical tasks and research projects.
Significance of Learning R
The significance of learning R in today's data driven world cannot be overstated. With the exponential growth of global data and the increasing demand for insightful data analytics, mastering analytical programming languages like R has become essential for anyone looking to thrive in the field of Data Science. This course serves as a gateway for beginners, providing them with the necessary foundation to apply R in real-world scenarios and make evidence-based decisions.
Overall, this course offers a comprehensive and practical approach to learning Data Science, with a specific focus on the R programming language. By providing detailed guidance on essential topics and emphasizing the application of R in real-world scenarios, this course equips students with the necessary skills to excel in the field of Data Science.
Who this course is for
Professionals and academics who aspire to use R Language as part of their Data Analysis and Data Science tasks.
Testimonials
What you'll learn
Requirements
Course Content
24 Sections 115 Lectures 6h 14m total length
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