R Programming Advanced Analytics In R For Data Science
  • ondemand_video
       Video Length : 8h30m0s
  • format_list_bulleted
       Tasks Number : 55
  • group
       Students Enrolled : 1449
  • equalizer
       Medium Level
  • Curriculum
  • 1. Welcome To The Course
    • videocam
      Welcome to the Advanced R Programming Course
      10m0s
    • videocam
      Some Additional Resources
      10m0s
  • 2. Data Preparation
    • videocam
      Welcome to this section. This is what you will learn
      10m0s
    • videocam
      Project Brief: Financial Review
      10m0s
    • videocam
      Updates on Udemy Reviews
      10m0s
    • videocam
      Import Data into R
      10m0s
    • videocam
      What are Factors (Refresher)
      10m0s
    • videocam
      The Factor Variable Trap
      10m0s
    • videocam
      FVT Example
      10m0s
    • videocam
      gsub() and sub()
      10m0s
    • videocam
      Dealing with Missing Data
      10m0s
    • videocam
      What is an NA?
      10m0s
    • videocam
      An Elegant Way To Locate Missing Data
      10m0s
    • videocam
      Data Filters: which() for Non-Missing Data
      10m0s
    • videocam
      Data Filters: is.na() for Missing Data
      10m0s
    • videocam
      Removing records with missing data
      10m0s
    • videocam
      Reseting the dataframe index
      10m0s
    • videocam
      Replacing Missing Data: Factual Analysis Method
      10m0s
    • videocam
      Replacing Missing Data: Median Imputation Method (Part 1)
      10m0s
    • videocam
      Replacing Missing Data: Median Imputation Method (Part 2)
      10m0s
    • videocam
      Replacing Missing Data: Median Imputation Method (Part 3)
      10m0s
    • videocam
      Replacing Missing Data: Deriving Values Method
      10m0s
    • videocam
      Visualizing results
      10m0s
    • videocam
      Section Recap
      10m0s
    • videocam
      Data Preparation
      10m0s
  • 3. Lists in R
    • videocam
      Welcome to this section. This is what you will learn
      10m0s
    • videocam
      Project Brief: Machine Utilization
      10m0s
    • videocam
      Import Data Into R
      10m0s
    • videocam
      Handling Date-Times in R
      10m0s
    • videocam
      What is a List?
      10m0s
    • videocam
      Naming components of a list
      10m0s
    • videocam
      Extracting components lists: [] vs [[]] vs $
      10m0s
    • videocam
      Adding and deleting components
      10m0s
    • videocam
      Subsetting a list
      10m0s
    • videocam
      Creating A Timeseries Plot
      10m0s
    • videocam
      Section Recap
      10m0s
    • videocam
      Lists in R
      10m0s
  • 4. "Apply" Family of Functions
    • videocam
      Welcome to this section. This is what you will learn
      10m0s
    • videocam
      Project Brief: Weather Patterns
      10m0s
    • videocam
      Import Data into R
      10m0s
    • videocam
      What is the Apply family?
      10m0s
    • videocam
      Using apply()
      10m0s
    • videocam
      Recreating the apply function with loops (advanced topic)
      10m0s
    • videocam
      Using lapply()
      10m0s
    • videocam
      Combining lapply() with []
      10m0s
    • videocam
      Adding your own functions
      10m0s
    • videocam
      Using sapply()
      10m0s
    • videocam
      Nesting apply() functions
      10m0s
    • videocam
      which.max() and which.min() (advanced topic)
      10m0s
    • videocam
      Section Recap
      10m0s
    • videocam
      "Apply" Family of Functions
      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...

R Programming Advanced Analytics In R For Data Science


R Programming Advanced Analytics In R For Data Science

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