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R for Data Science Training Course


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R for Data Science training course (code: RDATASCIENCE)

Visualize, Model, Transform, Tidy, and Import Data with R


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TRAINING COURSE OVERVIEW

Our R for Data Science training course is aimed at those looking to learn R programming for the purpose of applying it within the world of Data Science.

It will help you gain a clear understanding of the principles of Data Science and how to use the versatile R programming language for data analysis.

The skills taught are generic, and will therefore be applicable within any Data Science environment.


AUDIENCE

This course is aimed at those who need to build customised, interactive Dashboards which empower businesses and colleagues to harness the growing amount of data being produced by the business systems in the cloud



DETAILHIGHLIGHTS

INTRODUCTION TO R

R -Background to the language
Software
Tools
Installation

Explore

Introduction
Data visualisation
Workflow: basics
Data transformation
Workflow: scripts
Exploratory Data Analysis
Workflow: projects

Wrangle

Introduction
Tibbles
Data import
Tidy data
Relational data
Strings
Factors
Dates and times

Program

Introduction
Pipes
Functions
Vectors
Iteration

Model

Introduction
Model basics
Model building
Many models

Communicate

Introduction
R Markdown
Graphics for communication
R Markdown formats
R Markdown workflow

Data Science and Machine Learning Fundamentals

Classification
Clustering
Time Series
Association
Linear Regression
Logistic Regression
Visualization, Dashboards...

Data Wrangling—how to manipulate datasets to reveal new information
Data Visualization—how to create graphs and other visualizations
Exploratory Data Analysis—how to find evidence of relationships in your measurements
Modelling—how to derive insights and predictions from your data
Inference—how to avoid being fooled by data analyses that cannot provide foolproof results
Data Science & Machine Learning - Fundamentals and core principles

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PUBLIC COURSES (LONDON, UK)
 

11th Sep 2017 - 4 days £2495 see discount £2246
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