Cisco-opplæring

Insoft Services er en av få opplæringsleverandører i EMEAR som tilbyr hele spekteret av Cisco-sertifisering og spesialisert teknologiopplæring.

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Cisco Sertifisering

Opplev en blandet læringstilnærming som kombinerer det beste av instruktørledet opplæring og e-læring i eget tempo for å hjelpe deg med å forberede deg til sertifiseringseksamen.

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Cisco Learning Credits

Cisco Learning Credits (CLC) er forhåndsbetalte opplæringskuponger innløst direkte med Cisco som gjør planleggingen for suksessen din enklere når du kjøper Cisco-produkter og -tjenester.

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Etterutdanning

Cisco Continuing Education Program tilbyr alle aktive sertifiseringsinnehavere fleksible alternativer for å resertifisere ved å fullføre en rekke kvalifiserte opplæringselementer.

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Cisco Digital Learning

Sertifiserte ansatte er verdsatte eiendeler. Utforsk Ciscos offisielle digitale læringsbibliotek for å utdanne deg gjennom innspilte økter.

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Cisco Business Enablement

Cisco Business Enablement Partner Program fokuserer på å skjerpe forretningsferdighetene til Cisco Channel Partners og kunder.

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Cisco opplæringskatalog

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Fortinet Sertifisering

Fortinet Network Security Expert (NSE)-programmet er et opplærings- og sertifiseringsprogram på åtte nivåer for å lære ingeniører om nettverkssikkerheten for Fortinet FW-ferdigheter og -erfaring.

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Fortinet-opplæring

Insoft er anerkjent som Fortinet Autorisert Opplæringssenter på utvalgte steder i EMEA.

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Fortinet opplæringskatalog

Utforsk et bredt utvalg av Fortinet Schedule på tvers av forskjellige land så vel som online kurs.

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ATC-status

Sjekk atc-statusen vår på tvers av utvalgte land i Europa.

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Pakker for Fortinet-tjenester

Insoft Services har utviklet en spesifikk løsning for å effektivisere og forenkle prosessen med å installere eller migrere til Fortinet-produkter.

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Microsoft-opplæring

Insoft Services gir Microsoft opplæring i EMEAR. Vi tilbyr Microsofts tekniske opplærings- og sertifiseringskurs som ledes av instruktører i verdensklasse.

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Extreme-opplæring

Lær eksepsjonell kunnskap og ferdigheter i ekstreme nettverk.

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Teknisk sertifisering

Vi tilbyr omfattende læreplan over tekniske kompetanseferdigheter om sertifiseringsprestasjonen.

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Extreme opplæringskatalog

Tekniske kurs

ATP-akkreditering

Som autorisert opplæringspartner (ATP) sørger Insoft Services for at du får de høyeste utdanningsstandardene som er tilgjengelige.

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Løsninger og tjenester

Vi tilbyr innovativ og avansert støtte for design, implementering og optimalisering av IT-løsninger. Vår kundebase inkluderer noen av de største Telcos globalt.

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Globalt anerkjent team av sertifiserte eksperter hjelper deg med å gjøre en jevnere overgang med våre forhåndsdefinerte konsulent-, installasjons- og migrasjonspakker for et bredt spekter av Fortinet-produkter.

Om oss

Insoft Tilbyr autoriserte opplærings- og konsulenttjenester for utvalgte IP-leverandører. Finn ut hvordan vi revolusjonerer bransjen.

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  • +47 23 96 21 03
  • CDSP - Certified Data Science Practitioner: (Exam DSP-110)

    Duration
    5 Dager
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørsel

    For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice.

    In this course, you will implement data science techniques in order to address business issues.

    You will:

    • Use data science principles to address business issues.
    • Apply the extract, transform, and load (ETL) process to prepare datasets.
    • Use multiple techniques to analyze data and extract valuable insights.
    • Design a machine learning approach to address business issues.
    • Train, tune, and evaluate classification models.
    • Train, tune, and evaluate regression and forecasting models.
    • Train, tune, and evaluate clustering models.
    • Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

    Lesson 1: Addressing Business Issues with Data Science

    • Topic A: Initiate a Data Science Project
    • Topic B: Formulate a Data Science Problem

    Lesson 2: Extracting, Transforming, and Loading Data

    • Topic A: Extract Data
    • Topic B: Transform Data
    • Topic C: Load Data

    Lesson 3: Analyzing Data

    • Topic A: Examine Data
    • Topic B: Explore the Underlying Distribution of Data
    • Topic C: Use Visualizations to Analyze Data
    • Topic D: Preprocess Data

    Lesson 4: Designing a Machine Learning Approach

    • Topic A: Identify Machine Learning Concepts
    • Topic B: Test a Hypothesis

    Lesson 5: Developing Classification Models

    • Topic A: Train and Tune Classification Models
    • Topic B: Evaluate Classification Models

    Lesson 6: Developing Regression Models

    • Topic A: Train and Tune Regression Models
    • Topic B: Evaluate Regression Models

    Lesson 7: Developing Clustering Models

    • Topic A: Train and Tune Clustering Models
    • Topic B: Evaluate Clustering Models

    Lesson 8: Finalizing a Data Science Project

    • Topic A: Communicate Results to Stakeholders
    • Topic B: Demonstrate Models in a Web App
    • Topic C: Implement and Test Production Pipelines

     

    Appendix A: Mapping Course Content to CertNexus® Certified Data Science Practitioner (CDSP) (Exam DSP-110)

    This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.

    To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110) course.

    For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice.

    In this course, you will implement data science techniques in order to address business issues.

    You will:

    • Use data science principles to address business issues.
    • Apply the extract, transform, and load (ETL) process to prepare datasets.
    • Use multiple techniques to analyze data and extract valuable insights.
    • Design a machine learning approach to address business issues.
    • Train, tune, and evaluate classification models.
    • Train, tune, and evaluate regression and forecasting models.
    • Train, tune, and evaluate clustering models.
    • Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

    Lesson 1: Addressing Business Issues with Data Science

    • Topic A: Initiate a Data Science Project
    • Topic B: Formulate a Data Science Problem

    Lesson 2: Extracting, Transforming, and Loading Data

    • Topic A: Extract Data
    • Topic B: Transform Data
    • Topic C: Load Data

    Lesson 3: Analyzing Data

    • Topic A: Examine Data
    • Topic B: Explore the Underlying Distribution of Data
    • Topic C: Use Visualizations to Analyze Data
    • Topic D: Preprocess Data

    Lesson 4: Designing a Machine Learning Approach

    • Topic A: Identify Machine Learning Concepts
    • Topic B: Test a Hypothesis

    Lesson 5: Developing Classification Models

    • Topic A: Train and Tune Classification Models
    • Topic B: Evaluate Classification Models

    Lesson 6: Developing Regression Models

    • Topic A: Train and Tune Regression Models
    • Topic B: Evaluate Regression Models

    Lesson 7: Developing Clustering Models

    • Topic A: Train and Tune Clustering Models
    • Topic B: Evaluate Clustering Models

    Lesson 8: Finalizing a Data Science Project

    • Topic A: Communicate Results to Stakeholders
    • Topic B: Demonstrate Models in a Web App
    • Topic C: Implement and Test Production Pipelines

     

    Appendix A: Mapping Course Content to CertNexus® Certified Data Science Practitioner (CDSP) (Exam DSP-110)

    This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.

    To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110) course.

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