$425.98 – $532.07

16 Hours R Programming language Training Course in Brussels

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IT Training Center

Brussels

Belgium

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Event description
16 Hours R Programming language Training course is being delivered from October 15, 2020 - November 10, 2020 US Pacific Time

About this Event

This event has been UPDATED since it was first published. View the UPDATED & Detailed R Programming language Training course for beginners Information here.

4 Weeks R Programming language Training course is being delivered from October 15, 2020 - November 10, 2020 for 16 Hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session.

  • All Published Ticket Prices are in US Dollars
  • The course will be taught in English language

16 Hours R Programming Training Schedule

Features and Benefits

  • 16 Hours, 8 sessions, 4 weeks of total Instructor-led and guided training
  • Training material, instructor handouts and access to useful resources on the cloud provided
  • Practical Hands-on Lab exercises provided
  • Actual code and scripts provided
  • Real-life Scenarios

Course Objectives

  • Understand programming fundamentals of R language
  • Understand various data import methods in R
  • Understand the Data Manipulation in R
  • Create visualizations and Plots using R
  • Understand and Implement Linear Regression
  • Perform Text Analysis
  • Understand Machine Learning concepts
  • Real-time implementation of R on a live project and provide Business Insights

Course Pre-requisites

Programming background like C, C++, Python will be an added advantage but not mandatory to learn R, but introductory statistics is a prerequisite.

Who can take this course?

  • Software engineers and data analysts
  • Business intelligence professionals
  • SAS developers wanting to learn open source technology
  • Those aspiring for a career in data science
  • Professionals and Students looking to enter the Data Science industry

Course Outline

1. Essential to R programming

  • An Introduction to R
  • Introduction to the R language
  • Programming statistical graphics
  • Programming with R
  • Simulation
  • Computational linear algebra
  • Numerical optimization

2. Data Manipulation Techniques using R programming

  • Data in R
  • Reading and Writing Data
  • R and Databases
  • Dates
  • Factors
  • Subscribing
  • Character Manipulation
  • Data Aggregation
  • Reshaping Data

3. Statistical Applications using R programming

  • Basics
  • The R Environment
  • Probability and distributions
  • Descriptive statistics and graphics
  • One- and two-sample tests
  • Regression and correlation
  • Analysis of variance and the Kruskal–Wallis test
  • Tabular data
  • Power and the computation of sample size
  • Advanced data handling
  • Multiple Regression
  • Linear models
  • Logistic regression
  • Survival analysis
  • Rates and Poisson regression
  • Nonlinear curve fitting
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Date and Time

Location

IT Training Center

Brussels

Belgium

View Map

Refund Policy

Contact the organizer to request a refund.

Eventbrite's fee is nonrefundable.

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