Course Details
Hi there,
Welcome to my “R For Beginners: Learn R Programming from Scratch” course.
In this course you will learn how to code with R Programming Language, manage and analyse data with R programming and report your findings.
R programming language is a leading data mining technology. To learn data science, if you don’t know which high return programming language to start with. The answer is R programming.
This R programming course is for:
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Students in statistical courses,
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Analysts who produce statistical reports,
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Professional programmers on other languages,
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Academic researchers developing statistical methodology,
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Specialists in various area who need to develop sophisticated graphical presentations of data,
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and anyone who is particularly interested in big data, machine learning and data intelligence.
No Previous Knowledge is needed!
This course will take you from a beginner to a more advanced level.
If you are new to data science, no problem, you will learn anything you need to start with R.
If you are already used to R and you just need a refresher, you are also in the right place.
Here is the list of what you’ll learn by the end of course,
· Installation
· R Console Versus R Studio
· R and R Studio Installation
· Basic Syntax
· Data Types in R
· Operators and Functions in R
· R Packages
· Managing R Packages
· Data Management in R
· Getting Data into R
· Computation and Statistics
· Hands on Projects Experimental Learning
After every session you will have a strong set of skills to take with you into your Data Science career.
So, This is the right course for anyone who wants to learn learn R from scratch or for anyone who needs a refresher.
Fresh Content
It’s no secret how technology is advancing at a rapid rate. New tools are released every day, and it’s crucial to stay on top of the latest knowledge. You will always have up-to-date content to this course at no extra charge.
Video and Audio Production Quality
All our contents are created/produced as high quality video/audio to provide you the best learning experience.
You will be,
· Seeing clearly
· Hearing clearly
· Moving through the course without distractions
You'll also get:
✔ Lifetime Access to The Course
✔ Fast & Friendly Support in the Q&A section
✔ Udemy Certificate of Completion Ready for Download
Dive in now!
We offer full support, answering any questions.
See you in the course!
Requirements
- No Previous Knowledge about R (programming language) is needed!
- Desire to learn R in Data Science
- Be able to download and install all the free software and tools needed to practice
- A strong work ethic, willingness to learn and plenty of excitement about the data mining
- Just you, your computer and your ambition to get started now!
- Curiosity for r programming
- Desire to work on r
- Desire to learn r programming language
What you will learn
- R and R Studio Installation, R programming, R language
- R Console
- R Studio
- Data Types in R
- Operators and Functions in R
- R Packages
- Managing R Packages
- Data Management in R
- Getting Data into R
- Computation and Statistics
- Hands on r programming language Projects
- R (programming language)
- r programming
- r language
- Learning R from a top-rated OAK Academy's instructor will give you a leg up in either industry
- R is the programming language of choice for statistical computing. Machine learning, data visualization, and data analysis projects increasingly rely on R.
- The R programming language was created specifically for statistical programming. Many find it useful for data handling, cleaning, analysis, and representation.
- R is a popular programming language for data science, business intelligence, and financial analysis. Academic, scientific, and non-profit researchers use the R
- Whether R is hard to learn depends on your experience. After all, R is a programming language designed for mathematicians, statisticians, and business analysts
- Python vs. R: What is the Difference? Python and R are two of today's most popular programming tools.
- What careers use R? R is a popular programming language for data science, business intelligence, and financial analysis.
Who should attend
- Students who need R for their courses
- Students in statistical courses
- Web developers who want to implement data analysis features in their webpage
- Professional programmers on other languages
- Everybody interested in statistics and data sciences
- Anyone who plans a career in data scientist,
- Researchers who perform data analysis including graphs
- Anyone who wants to learn r shiny projects.
- Professionals working in analytics or related fields
- Analysts who produce statistical reports
- Anyone who wants to learn r programming language
- Specialists in various area who need to develop sophisticated graphical presentations of data
- Anyone who is particularly interested in big data, machine learning and data intelligence
- Anyone interested in data sciences
- Anyone eager to learn r statistics with no coding background
- People who want to learn r, r programming, r language
TAKE THIS COURSE
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