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What you'll learn?
- The Fundamentals Concepts of R Programming in Details
- How to Download and Install and Use RStudio
- Variables and how to create them in R
- Create different types of Loops in R
- Different types of Data types in R
- How to Update R and RStudio
- What are Packages and how to install them
- How to Create Vectors in R
- How to Create Lists in R
- The Difference Between Directory and Projects and how to use them
Course Overview
Are you:
1- Planning to do your Master’s or Ph.D.’s and want to learn R
2- Planning to get into the field of Data Science or Data Analytics
3- Trying to learn R and Facing difficulties in understanding it
4- A Researcher and wants to learn R
5- A Complete Beginner in the field of Programming and want to learn R
Then this course is for you
There are plenty of R Courses on this platform, but how this course is different?!
Let me tell you how the course is structured:
After every concept you learn, you will see me applying it practically on RStudio, and then there will be an exercise for you so you can apply what you learned, and then there will be a small quiz to test your knowledge and then after each section, there will be a small project (with the solution provided) so you can check your code with mine
So, the structure is like this:
1- A theory video (where I will explain the concept in detail)
2- A practical video (where I re-explain what I taught in the previous video again but this time in RStudio)
3- A small quiz to test your knowledge after every concept
4- An Assignment for you to do to test your knowledge
5- At the end of each section there might be a small project that will make sure that you have enough skills to move to the next section in the course
6- All the solutions will be provided so you can check your code with mine
As you can see that his course is a very practical course, hope you enjoy the course, just like I enjoyed creating it!!
Wish you all the best
Fahad Masood Reda.
Pre-requisites
- No Programming experience needed, you will learn everything you need to know in this course
- A Passion or Motive to Learn R, like becoming a Data Scientist or Data Analyst or a Researcher
Target Audience
- This course is for you if you want to learn how to R Language from Scratch
- This course is for you if you want to learn R to become a Data Scientist or Data Analyst
- This course is for you if you face difficulties in understanding programming concepts as everything is explained in this course in details
- This course is for you if you want to learn R and you don't have a tech background, as everything is explained in layman terms
- This course is for you if you want to learn By doing exercises and quizzes
Curriculum 53 Lectures 03:44:23
-
Section 1 : Welcome to the Course
- Lecture 2 :
- Get to Know your Instructor
- Lecture 3 :
- How the Course is Structured
- Lecture 4 :
- What Makes this Course Special
-
Section 2 : Getting Ready to Learn R
- Lecture 1 :
- Installing R and Rstudio
- Lecture 2 :
- What is R and Why Learn it
- Lecture 3 :
- RStudio Overview
- Lecture 4 :
- Update R and Rstudio
- Lecture 5 :
- Changing R version
- Lecture 6 :
- Intro to RStudio Cloud
- Lecture 7 :
- RStudio Cloud Overview
- Lecture 8 :
- Directory vs Projects - Part1
- Lecture 9 :
- Directory vs Projects - Part2
- Lecture 10 :
- Type of files in R
- Lecture 11 :
- Packages in R
- Lecture 12 :
- Checking and setting Directory
-
Section 3 : Basics of Programming
- Lecture 1 :
- Variables in R
- Lecture 2 :
- Data Types in R (Theory)
- Lecture 3 :
- Data Types in R (Practice)
- Lecture 4 :
- Variables and Data Types in R (Exercise)
- Lecture 5 :
- Variables and Data Types in R (Exercise Solution)
- Lecture 6 :
- Operators in R (Theory)
- Lecture 7 :
- Operators in R (Practice)
- Lecture 8 :
- Operators in R (Exercise)
- Lecture 9 :
- Operators in R (Solution)
- Lecture 10 :
- Loops in R (Theory)
- Lecture 11 :
- Loops in R (Practice)
- Lecture 12 :
- Loops in R (Exercise)
- Lecture 13 :
- Loops in R (Solution)
- Lecture 14 :
- IF Statement (Theory)
- Lecture 15 :
- IF Statement (Practice)
- Lecture 16 :
- IF Statement (Exercise)
- Lecture 17 :
- IF Statement (Solution)
- Lecture 18 :
- Case Sensitive
- Lecture 19 :
- Checking Variables
- Lecture 20 :
- Data Types vs Data Structures
- Lecture 21 :
- Deleting a Variable
- Lecture 22 :
- Deleting a Variable -Exercise
- Lecture 23 :
- Deleting a Variable -Exercise-Solution
- Lecture 24 :
- Miscellaneous Operators (Theory)
- Lecture 25 :
- Miscellaneous Operators (Practice)
- Lecture 26 :
- Miscellaneous Operators (Exercise)
- Lecture 27 :
- Miscellaneous Operators (Exercise -Solution)
-
Section 4 : Basics of R Programming
- Lecture 1 :
- Data Structures in R
- Lecture 2 :
- Vectors in R (Theory)
- Lecture 3 :
- Vectors in R (Practice)
- Lecture 4 :
- Vectors in R (Exercise)
- Lecture 5 :
- Vectors in R (Solution)
- Lecture 6 :
- Lists in R (Theory)
- Lecture 7 :
- Lists in R (Practice)
- Lecture 8 :
- Lists in R (Exercise)
- Lecture 9 :
- Lists in R (Solution)
- Lecture 10 :
- Function in R (Theory)
Our learners work at
Frequently Asked Questions
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How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
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Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
-
For how long can i access my course on the platform?
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Is there any free trial?
Currently, we do not offer any free trial. -
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?
Instructor
4863 Course Views
7 Courses
Hi! My name is Fahad Masood Reda, an MIS (Management Information Systems) and Data Science Mentor and a life coach, from Saudi Arabia. I hold a BSc in MIS and Masters in Computer Information systems in the field of Data Science from King Abdulaziz University. In 2008 I started mentoring MIS students locally and in 2014 I started my blog(TheMIS)so I can reach more people, Now I mentor and teach in the field of MIS and Data Science and WordPress Globally via meetups and Online webinars, and my blog and YouTube Channel, I'm passionate about helping other people achieve their potential through all aspects of their life. I really hope my courses will help you do better in everything from your career to your personal goals, I'm constantly creating new courses both on my own academy and on Udemy so let me know if there's a thing you'd like to see in particular. Currently offering Data Science and MIS and Self Development-related courses
Thanks for reading and enjoy the learning journey!
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