Home » Analyzing Big Data with Microsoft R

Opleiding: Analyzing Big Data with Microsoft R

Bij: OEM Office Elearning Menu

 

OEM Office Elearning Menu

P.J, Oudweg 4
1314 CH ALMERE
 

Inhoud van de cursus

Fundamentals of Microsoft R
This course introduces Microsoft R and its products, including installation, components, and compatibility with other network infrastructures.
Packages and Data Types
This course covers features and components of Microsoft R Server, including its installation and configuration with various databases and IT systems. It also introduces the R language, including data structures and types.
The R Language and Big Data Processing
This course covers R programming language essentials, including subsetting various data structures, scoping rules, loop functions, and debugging R functions. It also covers big data processing concepts, including chunking algorithms.
Importing and Manipulating Data
This course covers loading data into Microsoft R from various data sources, including Hadoop, ODBC, SAS, SPSS, and SQL Server. It also covers data manipulation techniques, including data sorting, merging, cleaning, and filtering.
Modifying and Summarizing Data
This course covers data manipulation, including transforming XDF files, subsetting data, modifying variables, and converting data types. It also covers data summarization, including summary statistics and data exploration using Microsoft R.
Data Visualization and Predictive Analytics
This course outlines data visualization in Microsoft R, including basic principles and R functions used to create histograms, line plots, and bar charts. It also covers predictive analytics, including modeling techniques and key algorithms.
Regression Analysis
In this course, you'll learn about various Microsoft R regression analysis models, including linear, nonlinear, and logistic.
Decision Tree and Classification Analysis
This course covers key concepts regarding decision tree analysis and classification analysis using Microsoft R. Explore functions and techniques, including rxPredict, rxDForest, rxOneClassSvm, neural networks, and support vector machines.
Cluster Analysis and Ensemble Learning
This course covers key concepts related to cluster analysis using Microsoft R and the k-means clustering technique. It also covers ensemble learning for analysis, including random forest analysis.

Toelatingseisen: wat heb je nodig?

Er is geen specifieke voorkennis vereist.

Duur van de cursus

15 uur

Bijzonderheden

Award Winning E-learning

Plaatsen / leslocaties

Heel Nederland, E-learning, Online

Algemene informatie over de cursus

Bestel deze unieke E-learning cursus Fundamentals of Microsoft R online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, spraak, voortgangsbewaking door rapportages en testen per hoofdstuk om de kennis direct te toetsen.

Duur: 15 uur
Taal: Engels
Certificaat van deelname: Ja
Online toegang: 365 dagen
Voortgangsbewaking: Ja
Award Winning E-learning: Ja
Geschikt voor mobiel: Ja

Informatie aanvragen

Gegevens aangeduid met een * zijn verplicht in te vullen.
jaar
 
resterend: tekens
 
C3B1E Typ de code exact over: (hoofdlettergevoelig)
 
Copyright 2009-2020 Particuliereopleidingen.nl | Algemene voorwaarden | Overzicht van onze aanbieders | Adverteren