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    R Programming A-Z™: R For Data Science With Real Exercises!

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 4999

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 4,999
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Hit The Ground Running

    • Welcome to the R Programming Course!
    • Updates on Udemy Reviews
    • Installing R and R Studio (MAC & Windows)
    • BONUS: Learning Paths
    • Exercise - Get Excited!
    • Get the materials
    • Some Additional Resources!!
    • BONUS: Interview with Hadley Wickham
    • Your Shortcut To Becoming A Better Data Scientist!

    Core Programming Principles

    • Welcome to this section. This is what you will learn!
    • Types of variables
    • Using Variables
    • Logical Variables and Operators
    • The "While" Loop
    • Using the console
    • The "For" Loop
    • The "If" statement
    • Section Recap
    • HOMEWORK: Law of Large Numbers
    • Core Programming Principles

    Fundamentals Of R

    • Welcome to this section. This is what you will learn!
    • What is a Vector?
    • Let's create some vectors
    • Using the [] brackets
    • Vectorized operations
    • The power of vectorized operations
    • Functions in R
    • Packages in R
    • Section Recap
    • HOMEWORK: Financial Statement Analysis
    • Fundamentals of R

    Matrices

    • Welcome to this section. This is what you will learn!
    • Project Brief: Basketball Trends
    • Matrices
    • Building Your First Matrix
    • Naming Dimensions
    • Colnames() and Rownames()
    • Matrix Operations
    • Visualizing With Matplot()
    • Subsetting
    • Visualizing Subsets
    • Creating Your First Function
    • Basketball Insights
    • Section Recap
    • HOMEWORK: Basketball Free Throws
    • Matrices

    Data Frames

    • Welcome to this section. This is what you will learn!
    • Project Brief: Demographic Analysis
    • Importing data into R
    • Exploring your dataset
    • Using the $ sign
    • Basic operations with a Data Frame
    • Filtering a Data Frame
    • Introduction to qplot
    • Visualizing With Qplot: Part I
    • Building Dataframes
    • Merging Data Frames
    • Visualizing With Qplot: Part II
    • Section Recap
    • HOMEWORK: World Trends
    • Data Frames

    Advanced Visualization With GGPlot2

    • Welcome to this section. This is what you will learn!
    • Project Brief: Movie Ratings
    • Grammar Of Graphics - GGPlot2
    • What is a Factor?
    • Aesthetics
    • Plotting With Layers
    • Overriding Aesthetics
    • Mapping vs Setting
    • Histograms and Density Charts
    • Starting Layer Tips
    • Statistical Transformations
    • Using Facets
    • Coordinates
    • Perfecting By Adding Themes
    • Section Recap
    • HOMEWORK: Movie Domestic % Gross
    • Advanced Visualization With GGPlot2

    Homework Solutions

    • Homework Solution Section 2: Law Of Large Numbers
    • Homework Solution Section 3: Financial Statement Analysis
    • Homework Solution Section 4: Basketball Free Throws
    • Homework Solution Section 5: World Trends
    • Homework Solution Section 6: Movie Domestic % Gross (Part 1)
    • Homework Solution Section 6: Movie Domestic % Gross (Part 2)
    • THANK YOU bonus video

    Bonus Tutorials

    • BoxPlots
    • **YOUR SPECIAL BONUS**

    Instructors

    Mr Kirill Eremenko

    Mr Kirill Eremenko
    Data Scientist
    Udemy

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