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

10 CPD hours / points Accredited by CPD Quality Standards

Who is this course for?

Our course is open to everyone. This R Programming for Data Science: Level 5 QLS Diploma is ideal for:

Statisticians: people who want to use R to apply statistical models and procedures for data analysis, research, and interpretation

Data scientists: people who want to improve their R programming skills for predictive modelling, machine learning, and data mining

Business analysts: experts who want to use R to do statistical analysis and obtain knowledge for tactical decision-making

Programmers and developers: people who want to become experts in R data manipulation and analysis and who want to broaden their toolkit in programming

Professionals in Economics or Finance: people working in these domains who want to use R for data-driven financial modelling, forecasting, and analysis.

Requirements

This R Programming for Data Science: Level 5 QLS Diploma course has no formal prerequisites; thus, students do not need prior knowledge or skills to enrol in it.

Career path

R Programming for Data Science: Level 5 QLS Diploma course offers the exploration of numerous jobs, including: (Yearly Salary)

Data Analyst ( £250,000-£45,000)

Data Scientist: (£40,000-£70,000)

Statistical Analyst (£30,000-£50,000)

Business Analyst (£30,000 - £55,000)

Data Science Manager/Lead (£60,000-£110,000)

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R Programming for Data Science: Level 5 QLS Diploma

By Kingston Open College

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