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Insoft Services är en av få utbildningsleverantörer inom EMEAR som erbjuder hela utbudet av Cisco-certifiering och specialiserad teknikutbildning.

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Cisco-certifieringar

Upplev en blandad inlärningsmetod som kombinerar det bästa av instruktörsledd utbildning och e-lärande i egen takt för att hjälpa dig att förbereda dig för ditt certifieringsprov.

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Cisco Learning Credits

Cisco Learning Credits (CLC) är förbetalda utbildningskuponger som löses in direkt med Cisco och som gör det enklare att planera för din framgång när du köper Ciscos produkter och tjänster.

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Cisco Fortbildning

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Cisco Digital Learning

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Cisco Business Enablement Partner Program fokuserar på att vässa affärskunskaperna hos Cisco Channel Partners och kunder.

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Cisco Kurskatalog

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Fortinet-certifieringar

Fortinet Network Security Expert (NSE) -programmet är ett utbildnings- och certifieringsprogram på åtta nivåer för att lära ingenjörer om deras nätverkssäkerhet för Fortinet FW-färdigheter och erfarenheter.

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Tekniska utbildningar

Insoft är erkänt som Fortinet Authorized Training Center på utvalda platser i EMEA.

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Fortinet Kurskatalog

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Kolla in vår ATC-status i utvalda länder i Europa.

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Extreme-utbildning

Lär dig exceptionella kunskaper och färdigheter i Extreme Networks.

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Tekniske-certifieringar

Vi tillhandahåller omfattande läroplan för tekniska kompetensfärdigheter på certifieringsprestationen.

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Extreme Kurskatalog

Hier finden Sie alle Extreme Networks online und den von Lehrern geleiteten Kalender für den Klassenraum.

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ATP-ackreditering

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Konsultpaket

Vi erbjuder innovativt och avancerat stöd för att designa, implementera och optimera IT-lösningar.Vår kundbas inkluderar några av de största telekombolagen globalt.

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Globalt erkända team av certifierade experter hjälper dig att göra en smidigare övergång med våra fördefinierade konsult-, installations- och migreringspaket för ett brett utbud av Fortinet-produkter.

Om oss

Insoft Tillhandahåller auktoriserade utbildnings- och konsulttjänster för utvalda IP-leverantörer.Lär dig hur vi revolutionerar branschen.

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  • +46 8 502 431 88
  • CDSP - Certified Data Science Practitioner: (Exam DSP-110)

    Duration
    5 Dagar
    Delivery
    (Online och på plats)
    Price
    Pris på begäran

    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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