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Cisco træning

Insoft Services er en af de få uddannelsesudbydere i EMEAR, der tilbyder hele spektret af Cisco-certificering og specialiseret teknologiuddannelse.

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Cisco-certificeringer

Oplev en blandet læringsmetode, der kombinerer det bedste fra instruktørstyret træning og e-læring i eget tempo for at hjælpe dig med at forberede dig til din certificeringseksamen.

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Cisco Learning Credits

Cisco Learning Credits (CLCs) er forudbetalte træningskuponer, der indløses direkte med Cisco, og som gør det nemmere at planlægge din succes, når du køber Cisco-produkter og -tjenester.

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Cisco Efteruddannelse

Cisco Continuing Education Program tilbyder alle aktive certificeringsindehavere fleksible muligheder for at gencertificere ved at gennemføre en række kvalificerede træningselementer.

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Cisco Digital Learning

Certificerede medarbejdere er VÆRDSATTE aktiver. Udforsk Ciscos officielle digitale læringsbibliotek for at uddanne dig selv gennem optagede sessioner.

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Cisco Business Enablement

Cisco Business Enablement Partner Program fokuserer på at skærpe Cisco Channel Partners og kunders forretningsmæssige færdigheder.

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Cisco kursuskatalog

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Fortinet-certificeringer

Fortinet Network Security Expert (NSE) -programmet er et otte-niveau uddannelses- og certificeringsprogram for at undervise ingeniører i deres netværkssikkerhed for Fortinet FW-færdigheder og erfaring.

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Fortinet træning

Insoft er anerkendt som Autoriseret Fortinet Training Center på udvalgte steder på tværs af EMEA.

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Fortinet kursuskatalog

Udforsk hele Fortinet-træningskataloget. Programmet omfatter en bred vifte af selvstændige og instruktørledede kurser.

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ATC-status

Tjek vores ATC-status på tværs af udvalgte lande i Europa.

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Fortinet Professionelle Services

Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

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Microsoft træning

Insoft Services tilbyder Microsoft-undervisning i EMEAR. Vi tilbyder Microsoft tekniske kurser og certificeringskurser, der ledes af instruktører i verdensklasse.

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Extreme træning

Find all the Extreme Networks online and instructor led class room based calendar here.

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Tekniske certificeringer

Vi leverer omfattende læseplan for tekniske kompetencefærdigheder på certificeringspræstationen.

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Extreme kursuskatalog

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ATP-akkreditering

Som autoriseret uddannelsespartner (ATP) sikrer Insoft Services, at du får de højeste uddannelsesstandarder, der findes.

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Løsninger og tjenester

Vi leverer innovativ og avanceret support til design, implementering og optimering af IT-løsninger. Vores kundebase omfatter nogle af de største Telcos globalt.

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Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

Om os

Insoft tilbyder autoriseret uddannelses- og konsulentbistand til udvalgte IP-leverandører. Få mere at vide om, hvordan vi revolutionerer branchen.

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    • Applied Data Visualization with R and ggplot2

    Enroll Now
    Duration
    1 Dag
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørgsel
    The Applied Data Visualization with R and ggplot2 is a one-day course that will equip you with the skills and knowledge required to apply ggplot2 to specific problems and obtain results quickly. You will learn the basic concepts of ggplot2 and the Grammar of Graphics through illustrative examples. You will then generate solutions for problems of incremental complexity as the course goes on. Lastly, you will master advanced plotting techniques that will enable you to add more detail and develop the quality of your graphics. The ggplot2 is an open-source package for the R programming language that employs the concept of the Grammar of Graphics to help users build complex and aesthetic visualizations. This is a fast-paced, practical course aimed at experienced developers and system architects. As you progress, you will find helpful tips and tricks, as well as useful self-assessment material, exercises, and activities to help you benchmark your progress and reinforce what youve learned. The activities have been devised to simulate real-world conditions in order to equip you with the necessary skills to accelerate software deployment while still maintaining security, portability, and affordability.  

    LESSON 1- BASIC PLOTTING IN GGPLOT2

    • Introduction to ggplot2
    • Geometric Objects
    • The Grammar of Graphics

    LESSON 2- THE GRAMMAR OF GRAPHICS AND VISUAL COMPONENTS

    • More on the Grammar of Graphics
    • Facets
    • Changing Styles and Colors
    • Geoms and Statistical Summaries

    LESSON 3- ADVANCED GEOMS AND STATISTICS

    • Advanced Plotting Techniques
    • Time Series
    • Maps
    • Trends, Correlations, and Statistical Summaries

    This course is meant for professionals who work with data and use R as part of their workflow. It also targets students who want to extend and enhance their data analysis skills by adding complex, informative, and professional visualizations. This course will not cover the basics of R commands and objects, so students are expected to have some familiarity with the R language.

    Hardware:

    For successful completion of this course, students will require computer systems with the following:

    • Processor: Intel Core i5 or equivalent
    • Memory: 4 GB RAM
    • Storage: 35 GB available space

     

    Software:

    • Operating System: Windows 7 SP1 64-bit, Windows 8.1 64-bit, or Windows 10 64-bit
    • Browser: Google Chrome (latest version)
    • R (latest version)
    • RStudio (latest version)

     

    Installation and Setup

    Before you start with this course, we’ll install R and RStudio. Here, you will find the steps to install these.

     

    Installing R

    1. To install the R package and libraries, go to http://cran.us.r-project.org/ in your browser.
    2. Click on Download R for Windows, click on base, and then click on Download R 3.5.0 for Windows (or any newer version that appears).
    3. Install R. Leave all default settings in the installation options as they are.

     

    Installing RStudio

    1. To install RStudio, go to http://rstudio.org/download/desktop .
    2. Choose the default installation.
    3. Open RStudio after installation. It uses the underlying R package and will open it automatically in the IDE:
    Overview
    The Applied Data Visualization with R and ggplot2 is a one-day course that will equip you with the skills and knowledge required to apply ggplot2 to specific problems and obtain results quickly. You will learn the basic concepts of ggplot2 and the Grammar of Graphics through illustrative examples. You will then generate solutions for problems of incremental complexity as the course goes on. Lastly, you will master advanced plotting techniques that will enable you to add more detail and develop the quality of your graphics. The ggplot2 is an open-source package for the R programming language that employs the concept of the Grammar of Graphics to help users build complex and aesthetic visualizations. This is a fast-paced, practical course aimed at experienced developers and system architects. As you progress, you will find helpful tips and tricks, as well as useful self-assessment material, exercises, and activities to help you benchmark your progress and reinforce what youve learned. The activities have been devised to simulate real-world conditions in order to equip you with the necessary skills to accelerate software deployment while still maintaining security, portability, and affordability.  

    LESSON 1- BASIC PLOTTING IN GGPLOT2

    • Introduction to ggplot2
    • Geometric Objects
    • The Grammar of Graphics

    LESSON 2- THE GRAMMAR OF GRAPHICS AND VISUAL COMPONENTS

    • More on the Grammar of Graphics
    • Facets
    • Changing Styles and Colors
    • Geoms and Statistical Summaries

    LESSON 3- ADVANCED GEOMS AND STATISTICS

    • Advanced Plotting Techniques
    • Time Series
    • Maps
    • Trends, Correlations, and Statistical Summaries

    This course is meant for professionals who work with data and use R as part of their workflow. It also targets students who want to extend and enhance their data analysis skills by adding complex, informative, and professional visualizations. This course will not cover the basics of R commands and objects, so students are expected to have some familiarity with the R language.

    Hardware:

    For successful completion of this course, students will require computer systems with the following:

    • Processor: Intel Core i5 or equivalent
    • Memory: 4 GB RAM
    • Storage: 35 GB available space

     

    Software:

    • Operating System: Windows 7 SP1 64-bit, Windows 8.1 64-bit, or Windows 10 64-bit
    • Browser: Google Chrome (latest version)
    • R (latest version)
    • RStudio (latest version)

     

    Installation and Setup

    Before you start with this course, we’ll install R and RStudio. Here, you will find the steps to install these.

     

    Installing R

    1. To install the R package and libraries, go to http://cran.us.r-project.org/ in your browser.
    2. Click on Download R for Windows, click on base, and then click on Download R 3.5.0 for Windows (or any newer version that appears).
    3. Install R. Leave all default settings in the installation options as they are.

     

    Installing RStudio

    1. To install RStudio, go to http://rstudio.org/download/desktop .
    2. Choose the default installation.
    3. Open RStudio after installation. It uses the underlying R package and will open it automatically in the IDE:
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