R Programming for Data Science: Level 5 QLS Diploma

Description

R programming is an open-source tool that has become quite popular in the data science sector because of its extensive library of packages developed by the global community, its wide range of statistical approaches, and its visualisation capabilities. Have a look at the most trusted online r programming training, "R Programming for Data Science: Level 5 QLS Diploma," to learn this specialised skill.

The QLS-endorsed expert course "R Programming for Data Science: Level 5 QLS Diploma" offered by KOC is intended to give students a thorough understanding of R programming, focusing on data science applications. With an organised approach, this diploma programme begins with fundamental ideas and works up to the more complex methods required for competent data analysis and manipulation using R.

Beginning with an introduction to data science, the course dives further into R and RStudio, the primary R programming tools. To manage data efficiently, students study the fundamental R components: vectors, matrices, factors, data frames, and lists. It covers essential programming ideas for producing solid code, such as loops, operators, and functions. Subsequently, more complex subjects are covered, including date/time handling, regular expressions, apply tasks for data processing, R packages, and dplyr for data manipulation. Another critical training component is using R's plotting capabilities for data visualisation in compelling presentations. Ultimately, students acquire a broad range of R programming skills, enabling them to efficiently handle, examine, and display data.

So, make a wise decision to let this diploma take you from the basics to advanced data manipulation techniques, empowering you to thrive in the dynamic realm of data science!

Here are the learning outcomes of "R Programming for Data Science: Level 5 QLS Diploma" in a nutshell:

After successful study of the curriculum, learners are expected to:

• Learn to use vectors, matrices, factors, data frames, and lists for effective data structure and manipulation with R and RStudio
• Develop your proficiency with the foundational concepts of programming, such as loops, functions, conditional statements, and logical operators, to write reliable and efficient R code
• Learn how to use R packages, family functions, regular expressions, and dplyr for complex data processing and manipulation
• Gain expertise in using R to plot data and create informative, eye-catching visuals that effectively explain findings
• Discover how to manage dates and times, gather and clean data, and make sure the data is consistent and of high quality for analysis
• Develop a broad range of R data science skills to facilitate well-informed decision-making, meaningful insight extraction, and significant results

Our Service for the "R Programming for Data Science: Level 5 QLS Diploma" Includes:

• Intensive Study Notes
• Tutor Support
• Customer Support
• Assignment Help
• QLS Endorsed Certificate
• 24/7 Learning Portal Access
• Widely Compatible Study Materials

As a highly competent, unregulated provision and training programme, QLS endorsed this certified course. A trainer will be available to address your inquiries, including how to advance into additional higher education.

Course Curriculum of R Programming for Data Science

• Unit 01: Data Science Overview
• Unit 02: R and RStudio
• Unit 03: Introduction to Basics
• Unit 04: Vectors
• Unit 05: Matrices
• Unit 06: Factors
• Unit 07: Data Frames
• Unit 08: Lists
• Unit 09: Relational Operators
• Unit 10: Logical Operators
• Unit 11: Conditional Statements
• Unit 12: Loops
• Unit 13: Functions
• Unit 14: R Packages
• Unit 15: The Apply Family - lapply
• Unit 16: The apply Family - sapply & vapply
• Unit 17: Useful Functions
• Unit 18: Regular Expressions
• Unit 19: Dates and Times
• Unit 20: Getting and Cleaning Data
• Unit 21: Plotting Data in R
• Unit 22: Data Manipulation with dplyr

Certification & Evaluation

In order to have our professional tutor determine whether all learning outcomes have been fulfilled in accordance with the standards set by QLS, students must submit a thorough summarisation assignment for each unit. The learner will receive the R Programming for Data Science certificate following the quality check.

Quality Licence Scheme Certificate of Achievement

At the conclusion of the course, students will get an endorsed certificate as proof of their accomplishment. The student is eligible to receive a certificate as long as they successfully finish all system assessments.

CPD

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