If you are interested in data science, here’s an opportunity to gain an understanding of R from scratch. The Introduction to R course is a step by step approach for beginners to learn R. The course will teach you about installation, how to use R help tools and R exercise database, basic R functions like first coding steps and a look at graphical tools.
The Introduction to R course will cover topics starting with data and object types, importing into R, operations, loops and conditions, the use of R in statistics, and graphics.
Introduction to R will help learners use R to evaluate descriptive statistics, linear modelling, hypothesis testing and probability distributions. The course is internationally recognised and accredited to a training organisation and you will be issued an internationally recognised qualification following full completion of Introduction to R course.
As improvements and advancements are made in technology, online courses are no longer just conventional means of studying at affordable costs. In many aspects online training offers superiority to traditional learning. There is an effectiveness and convenience that traditional learning cannot provide. The overall convenience and flexibility makes it a superior learning method.
1Training offers the most convenient path to gain an internationally recognised qualification that will give you the opportunity to put into practice your skill and expertise in an enterprise or corporate environment. You can study at your own pace at 1Training and you will be provided with all the necessary material, tutorials, qualified course instructor and multiple free resources which include Free CV writing pack, Nus Discounted Card, Free career support and course demo to make your learning experience enriching and more rewarding.
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at anytime.
At the end of the Introduction to R course you will be required to take a multiple choice question assessment test. The multiple choice question assessment will be automatically marked with learners receiving an instant grade.
Those who successfully complete the exam will be awarded the certificate in Introduction to R.
The certificate will be awarded by CPD and iAP. This internationally recognised qualification will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in the IT enterprise.
Once you successfully complete Introduction to R you will be qualified to work in the following positions. The Introduction to R qualification will also put you in line to demand a higher salary or job promotion. The average UK salary per annum according to https://www.payscale.com is given below.
|➤ Module 01 - Introduction to R|
|1.0 Topic A: About R - Part 1|
|1.1 About R – Part 2|
|1.2 About R – Part 3|
|2.0 Topic B: RStudio - Part 1|
|2.1 RStudio – Part 2|
|2.2 RStudio – Part 3|
|3.0 Topic C: Workspaces - Part 1|
|3.1 Workspaces – Part 2|
|3.2 Workspaces – Part 3|
|4.0 Topic D: Basic Types - Part 1|
|4.1 Basic Types – Part 2|
|4.2 Basic Types – Part 3|
|➤ Module 02 – Variables|
|1.0 Topic A: Basic Types Demo - Part 1|
|1.1 Basic Types Demo – Part 2|
|1.2 Basic Types Demo – Part 3|
|2.0 Topic B: Dates Demo - Part 1|
|2.1 Dates Demo – Part 2|
|2.2 Dates Demo – Part 3|
|3.0 Topic C: Variables - Part 1|
|3.1 Variables – Part 2|
|3.2 Variables – Part 3|
|4.0 Topic D: Missing Values - Part 1|
|4.1 Missing Values – Part 2|
|4.2 Missing Values – Part 3|
|➤ Module 03 - Data Structures and Operators|
|1.0 Topic A: Vectors - Part 1|
|1.1 Vectors – Part 2|
|1.2 Vectors – Part 3|
|2.0 Topic B: Matrices - Part 1|
|2.1 Matrices – Part 2|
|2.2 Matrices – Part 3|
|3.0 Topic C: Arrays - Part 1|
|3.1 Arrays – Part 2|
|3.2 Arrays – Part 3|
|4.0 Topic D: Lists and Factors - Part 1|
|4.1 Lists and Factors – Part 2|
|4.2 Lists and Factors – Part 3|
|5.0 Topic E: Arithmetic and Relational Operators - Part 1|
|5.1 Arithmetic and Relational Operators – Part 2|
|5.2 Arithmetic and Relational Operators – Part 3|
|6.0 Topic F: Logical and Assignment Operators - Part 1|
|6.1 Logical and Assignment Operators – Part 2|
|6.2 Logical and Assignment Operators – Part 3|
|➤ Module 04 - Data Frames and Tables|
|1.0 Topic A: Data Frames - Part 1|
|1.1 Data Frames – Part 2|
|1.2 Data Frames – Part 3|
|2.0 Topic B: Working with Data Frames - Part 1|
|2.1 Working with Data Frames – Part 2|
|2.2 Working with Data Frames – Part 3|
|3.0 Topic C: Data Tables - Part 1|
|3.1 Data Tables – Part 2|
|3.2 Data Tables – Part 3|
|4.0 Topic D: Working with Data Tables - Part 1|
|4.1 Working with Data Tables – Part 2|
|4.2 Working with Data Tables – Part 3|
|5.0 Topic E: Shortcuts - Part 1|
|5.1 Shortcuts – Part 2|
|5.2 Shortcuts – Part 3|