Introduction to R

Statistical Computing
Approved by Habanero Data
R
next available COURSE:
Duration :
3 Day/s
DURATION
3 Day/s
USD $
500
USD
$ 500
NGN ₦
235,000
NGN
₦ 235,000

Course Information

Everything you need to know

  • Course Syllabus
  • Your trainer
  • Key Information

About the course: The introduction to R programming course will help you understand and master the basics of R. The course will cover the basic syntax of R enabling you to undertake your own first data analysis using R. You will learn how to get going in R from the begining, understand file formats, basic R syntax from data objects to functions, graphics. and learn using text editors to write code. You will learn how to read files, use symbols and assignments and iterate simple loops. The course is suitable for complete beginners and no prior R programming knowledge is assumed.
 
Come enjoy the motivating atmosphere, learning with your peers while you discover the possibilities of the Microsoft Power BI.
 
Audience: Data Analysts, Business Analysts, Developers, Data Managers, Business Intelligence Analysts, IT Administrators, Data Architect
 
Recommended Prerequisites:None
 

Course Schedule:5 Days, 40 Academic Hours
 
Course Syllabus
 
Day 1

  • Getting started with R
  • Installing, starting and stopping R
  • The R Console
  • R and statistics
  • R and the window system
  • File Operations and file formats
  • Writing code and text editors
  • Basic R syntax
  • Reading files
  • Symbols and assignment

 

Loops

  • Sequences
  • Simple Loops(iteration)

 
Vectors

  • Numeric vectors
  • Special values
  • Numeric summaries

Text

  • Text Processing
  • Regular expressions
  • Search, replace, split, paste

 
Day 2

Reading Data

  • Data Frames
  • Matrices and data frames and Lists
  • Free-format Input
  • Fixed-Format Input
  • Printing Data and Summaries
  • Plotting Data
  • Data processing

 
Dates

  • Dates
  • Classes and generic functions

 
Linear Models

  • Fitting a Model
  • Examining a Fit
  • Extracting Results
  • Factors and Covariates
  • Regression Splines

 
Generalized Linear Models

  • Variance and Link Families
  • Logistic Regression
  • Updating Models
  • Model Selection

 
Day 3

Data Structures

  • Data structures
  • Subsetting
  • Assigning to subsets

Data Manipluation

  • Apply functions

 
Graphics

  • Scatterplots
  • Exporting Graphics
  • Boxplots
  • Histograms
  • Density Plots
  • Text Plots
  • Faceting
  • Common Aesthetics

Our international certified trainers have highly experienced R practitioners who have real-world expertise.

I – Laptops will be provided for all candidates with pre-installed R.

II – Our training venue is based in Lekki, Lagos (Specific venue will be emailed on confirmation of a place on the course).

III – Lunches and refreshments are provided inclusive of the cost. Wi-fi and access to spaces to take private calls are also available.

For more information on our training, please enquire using the form above or call +2348103382376

Introduction to R

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    Introduction to R

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    July 12, 2021

    Abuja, Accra, Addis Ababa, Freetown, Kigali, Lagos, Nairobi

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    Call our team today on +2348103382376 or email training@habanerodata.net

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