The R Programming For Data Science
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       Video Length : 13h20m0s
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       Tasks Number : 87
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       Students Enrolled : 991
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       Medium Level
  • Curriculum
  • 1. Hit The Ground Running
    • videocam
      Welcome to the R Programming Course!
      10m0s
    • videocam
      Updates on Udemy Reviews
      10m0s
    • videocam
      Installing R and R Studio (MAC & Windows)
      10m0s
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      Exercise - Get Excited!
      10m0s
    • videocam
      Some Additional Resources!!
      10m0s
  • 2. Core Programming Principles
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      Welcome to this section. This is what you will learn!
      10m0s
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      Types of variables
      10m0s
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      Using Variables
      10m0s
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      Logical Variables and Operators
      10m0s
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      The "While" Loop
      10m0s
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      Using the console
      10m0s
    • videocam
      The "For" Loop
      10m0s
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      The "If" statement
      10m0s
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      Section Recap
      10m0s
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      HOMEWORK: Law of Large Numbers
      10m0s
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      Core Programming Principles
      10m0s
  • 3. Fundamentals Of R
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      Welcome to this section. This is what you will learn!
      10m0s
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      What is a Vector?
      10m0s
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      Let's create some vectors
      10m0s
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      Using the [] brackets
      10m0s
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      Vectorized operations
      10m0s
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      The power of vectorized operations
      10m0s
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      Functions in R
      10m0s
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      Packages in R
      10m0s
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      Section Recap
      10m0s
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      HOMEWORK: Financial Statement Analysis
      10m0s
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      Fundamentals of R
      10m0s
  • 4. Matrices
    • videocam
      Welcome to this section. This is what you will learn!
      10m0s
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      Project Brief: Basketball Trends
      10m0s
    • videocam
      Matrices
      10m0s
    • videocam
      Building Your First Matrix
      10m0s
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      Naming Dimensions
      10m0s
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      Colnames() and Rownames()
      10m0s
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      Matrix Operations
      10m0s
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      Visualizing With Matplot()
      10m0s
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      Subsetting
      10m0s
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      Visualizing Subsets
      10m0s
    • videocam
      Creating Your First Function
      10m0s
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      Basketball Insights
      10m0s
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      Section Recap
      10m0s
    • videocam
      HOMEWORK: Basketball Free Throws
      10m0s
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      Matrices
      10m0s
  • 5. Data Frames
    • videocam
      Welcome to this section. This is what you will learn!
      10m0s
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      Project Brief: Demographic Analysis
      10m0s
    • videocam
      Importing data into R
      10m0s
    • videocam
      Exploring your dataset
      10m0s
    • videocam
      Using the $ sign
      10m0s
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      Basic operations with a Data Frame
      10m0s
    • videocam
      Filtering a Data Frame
      10m0s
    • videocam
      Introduction to qplot
      10m0s
    • videocam
      Visualizing With Qplot: Part I
      10m0s
    • videocam
      Building Dataframes
      10m0s
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      Merging Data Frames
      10m0s
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      Visualizing With Qplot: Part II
      10m0s
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      Section Recap
      10m0s
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      HOMEWORK: World Trends
      10m0s
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      Data Frames
      10m0s
  • 6. Advanced Visualization With GGPlot2
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      Welcome to this section. This is what you will learn!
      10m0s
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      Project Brief: Movie Ratings
      10m0s
    • videocam
      Grammar Of Graphics - GGPlot2
      10m0s
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      What is a Factor?
      10m0s
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      Aesthetics
      10m0s
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      Plotting With Layers
      10m0s
    • videocam
      Overriding Aesthetics
      10m0s
    • videocam
      Mapping vs Setting
      10m0s
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      Histograms and Density Charts
      10m0s
    • videocam
      Starting Layer Tips
      10m0s
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      Statistical Transformations
      10m0s
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      Using Facets
      10m0s
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      Coordinates
      10m0s
    • videocam
      Perfecting By Adding Themes
      10m0s
    • videocam
      Section Recap
      10m0s
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      HOMEWORK: Movie Domestic % Gross
      10m0s
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      Advanced Visualization With GGPlot2
      10m0s
  • 7. Homework Solutions
    • videocam
      Homework Solution Section 2: Law Of Large Numbers
      10m0s
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      Homework Solution Section 3: Financial Statement Analysis
      10m0s
    • videocam
      Homework Solution Section 4: Basketball Free Throws
      10m0s
    • videocam
      Homework Solution Section 5: World Trends
      10m0s
    • videocam
      Homework Solution Section 6: Movie Domestic % Gross (Part 1)
      10m0s
    • videocam
      Homework Solution Section 6: Movie Domestic % Gross (Part 2)
      10m0s
Authors

Kevin Gautama is a systems design and programming engineer with 16 years of expertise in the fields of electrical and electronics and information technology.

He teaches at the Hanoi University of Industry in the period 2003-2011 and he has a certificate of vocational training by the Ministry of Industry and Commerce and the Hanoi University of Industry.

From extensive design experience through numerous engineering projects, the author founded the Enziin Academy.

The Enziin Academy is a startup in the field of educational, it's core goal is to training design engineers in the fields technology related.

The Enziin Academy is headquartered in Stockholm-Sweden with an orientation operating multi-lingual and global.

The author's skills in IT:

  • Implementing the application infrastructure on Amazon's cloud computing platform.
  • Linux server system administration (Sysadmin).
  • Design load balancing and content distribution system.
  • MySQL database administration.
  • C/C++/C# Programming
  • Ruby and Ruby on Rails Programming
  • Python and Django Programming
  • The WPF/C# on the .NET Framework Programming
  • The PHP/JAVA Programming
  • Machine Learning and Expert System.
  • Internet of Things.

The author's skills in the fields of electric and electronic:

  • The design of popular CPU / MCU systems.
  • Design FPGA / CPLD system (Xilinx - Altera).
  • Design and programming of DSP systems (Texas Instruments).
  • Embedded ARM system design.
  • The RTOS Programming
  • Design and programming electronic power systems.
  • PLC - inverter - sensor - electric control cabinet industrial.
  • Control systems distributed connection with Server.

Read more...

The R Programming For Data Science


The R Programming For Data Science

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