Introduction to R for Data Science Online Course
Short course
Online
Description
-
Type
Short course
-
Methodology
Online
-
Duration
365 Days
"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."
Facilities
Location
Start date
Start date
About this course
"The course is aimed at enterprise data analysts.
Students with interest in data mining.
The course is designed for individuals interested in statistics and data visualisation.
Anyone interested in data science.
Web developers.
Professionals working in data analytics.
"
"You must be over the age of 16 and have a basic understanding of Maths, English and ICT
Course is for beginners with basic proficiency in statistics and probability distributions"
Those who successfully complete the exam will be awarded the certificate in Introduction to R.
Our online programme is well designed that you feel same as you are in the classroom. This course is comprised of professionally narrated e-Learning modules, interactive quizzes, tests and exams. All delivered through a system that you will have access to 24 hours a day, 7 days a week in 365 days (12 months). Effective support service, and study materials including step by step guided tutorial videos build your confidence to study well and guide you to secure your qualification.
On receiving your request, one of our stuff members will call you or send you a message by explaining everything about the course you are requesting information including how you can sign up, payment options, exam and enrollment requirements etc.
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 7 years
Subjects
- Access
- Database
- Statistics
- Software development
- Programmer
- Developer
- Software Developer
- Software Engineer
- Software Tester
- Computer Programmer
Teachers and trainers (1)
Swetha Kolalapudi
Early Flipkart employee, IIM Ahmedabad and IIT Madras alum
Course programme
Course Curriculum
➤ Module 01 - Introduction to R
1.0 Topic A: About R - Part 1
2.0 Topic B: RStudio - Part 1
3.0 Topic C: Workspaces - Part 1
4.0 Topic D: Basic Types - Part 1
➤ Module 02 – Variables
1.0 Topic A: Basic Types Demo - Part 1
2.0 Topic B: Dates Demo - Part 1
3.0 Topic C: Variables - Part 1
4.0 Topic D: Missing Values - Part 1
➤ Module 03 - Data Structures and Operators
1.0 Topic A: Vectors - Part 1
2.0 Topic B: Matrices - Part 1
3.0 Topic C: Arrays - Part 1
4.0 Topic D: Lists and Factors - Part 1
5.0 Topic E: Arithmetic and Relational Operators - Part 1
6.0 Topic F: Logical and Assignment Operators - Part 1
➤ Module 04 - Data Frames and Tables
1.0 Topic A: Data Frames - Part 1
2.0 Topic B: Working with Data Frames - Part 1
3.0 Topic C: Data Tables - Part 1
4.0 Topic D: Working with Data Tables - Part 1
5.0 Topic E: Shortcuts - Part 1
Learning Outcomes
- Gain an understanding of the fundamentals of R.
- Become functional with R.
- Learn how to download and install R.
- Understand the use of R in analytics.
- Learn how to use R in data mining and analytical operations.
Progression and Career Path
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.
- Software Developer
- Programmer
- Computer Programmer
- Data Analysts
Other Benefits
- Written and designed by the industry’s finest expert instructors with over 15 years of experience
- Repeat and rewind all your lectures and enjoy a personalised learning experience
- Gain access to quality video tutorials
- Unlimited 12 months access from anywhere, anytime
- Excellent Tutor Support Service (Monday to Friday)
- Save time and money on travel
- Learn at your convenience and leisure
- Quizzes, tests mock exams, practice exams to ensure you are 100% ready
- Eligible for a NUS discount card
- Free Career Support Service
- 25% Discount on personal Statement and covering letter writing service
- Free Access to Over 150 courses for 2 days (48 hours)
- Free access to course before you purchase (For selected courses only)
"
Additional information
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.
Method of Assessment
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.
Awarding Body
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.
Introduction to R for Data Science Online Course