Learn the basics of R Programming and start your journey in the field of Machine Learning and Data Science.
Read more.Instructor
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 blo
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Who this course is for:
- This course is for you if you want to learn the 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
What you’ll learn:Â
- The fundamental concepts of R programming in details
- How to download and install and use RStudio
- Variables and how to create them in RÂ
- Create different types of loops in RÂ
- Different types of data types in RÂ
- How to update R and RStudio
- What are packages and how to install them
- How to create vectors in RÂ
- How to create lists in RÂ
- The difference between directory and projects and how to use them
Requirements:Â
- 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
Are you:
1- Planning to do your Master’s or PhD’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 who wants to learn R?
5- A complete beginner in the field of programming and want to learn R?
Then, this course is for you!
How is this R programming course 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 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- An Assignment for you to do to test your knowledge
4- 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
5- All the solutions will be provided so you can check your code with mine
Our Promise to You
By the end of this course, you will have learned R programming.
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Course Curriculum
| Section 1 - Welcome To The Course | |||
| Course Overview | 00:00:00 | ||
| Why Rate This Course | 00:00:00 | ||
| How The Course Is Structured | 00:00:00 | ||
| What Makes This Course Special | 00:00:00 | ||
| Section 2 - Getting Ready To Learn R | |||
| Codes Used In This Course | 00:00:00 | ||
| Installing R And RStudio | 00:00:00 | ||
| What Is R Language? | 00:00:00 | ||
| RStudio Overview | 00:00:00 | ||
| Checking And Setting The Directory | 00:00:00 | ||
| Updating R And RStudio | 00:00:00 | ||
| Changing R Version | 00:00:00 | ||
| Introduction To RStudio Cloud | 00:00:00 | ||
| RStudio Cloud Overview | 00:00:00 | ||
| Directory Vs Projects – Part 1 | 00:00:00 | ||
| Directory Vs Projects – Part 2 | 00:00:00 | ||
| Type Of Files In R | 00:00:00 | ||
| Packages In R | 00:00:00 | ||
| Section 3 - Basics Of Programming | |||
| Variables In R | 00:00:00 | ||
| Data Types In R (Theory) | 00:00:00 | ||
| Data Types In R (Practice) | 00:00:00 | ||
| Variables And Data Types In R (Exercise) | 00:00:00 | ||
| Variables And Data Types In R (Exercise-Solution) | 00:00:00 | ||
| Operators In R (Theory) | 00:00:00 | ||
| Operators In R (Practice) | 00:00:00 | ||
| Operators In R (Exercise) | 00:00:00 | ||
| Operators In R (Exercise -Solution) | 00:00:00 | ||
| Loops In R (Theory) | 00:00:00 | ||
| Loops In R (Practice) | 00:00:00 | ||
| Loops In R (Exercise) | 00:00:00 | ||
| Loops In R (Exercise -Solution) | 00:00:00 | ||
| If Statement (Theory) | 00:00:00 | ||
| If Statement (Practice) | 00:00:00 | ||
| If Statement (Exercise) | 00:00:00 | ||
| If Statement (Exercise-Solution) | 00:00:00 | ||
| Case Sensitive | 00:00:00 | ||
| Checking Variables | 00:00:00 | ||
| Data Types Vs Data Structures | 00:00:00 | ||
| Deleting A Variable | 00:00:00 | ||
| Deleting A Variable (Exercise) | 00:00:00 | ||
| Deleting A Variable (Exercise-Solution) | 00:00:00 | ||
| Miscellaneous Operators (Theory) | 00:00:00 | ||
| Miscellaneous Operators (Practice) | 00:00:00 | ||
| Miscellaneous Operators (Exercise) | 00:00:00 | ||
| Miscellaneous Operators (Exercise -Solution) | 00:00:00 | ||
| Section 4 - Basics Of R Programming | |||
| Data Structures In R | 00:00:00 | ||
| Vectors In R (Theory) | 00:00:00 | ||
| Vectors In R (Practice) | 00:00:00 | ||
| Vectors In R (Exercise) | 00:00:00 | ||
| Vectors In R (Solution) | 00:00:00 | ||
| Lists In R (Theory) | 00:00:00 | ||
| Lists In R (Practice) | 00:00:00 | ||
| Lists In R (Exercise) | 00:00:00 | ||
| Lists In R (Solution) | 00:00:00 | ||
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