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  • E-Books / Video TrainingR For Beginners Learn R Programming from Scratch




    R For Beginners Learn R Programming from Scratch
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English + .VTT | Duration: 3 hour | Size: 1.13 GB
    Learn R Programming in R and R Studio, analyse data with R programming course and become professional at data mining


    What you'll learn
    R and R Studio Installation
    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 Projects
    Requirements
    No Previous Knowledge is needed!
    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!
    Description
    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:
    Students in statistical courses,
    Analysts who produce statistical reports,
    Professional programmers on other languages,
    Academic researchers developing statistical methodology,
    Specialists in various area who need to develop sophisticated graphical presentations of data,
    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!
    Who this course is for:
    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
    Researchers who perform data analysis including graphs
    Professionals working in analytics or related fields
    Analysts who produce statistical reports
    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





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