CertNexus - Certified Data Science Practitioner | CDSP

Varighed

Varighed:

Kun 2 dage

Metode

Metode:

Klasseværelse / Online / Hybrid

Næste dato

Næste dato:

24/6/2024 (Mandag)

Overview

On this accelerated CertNexus Certified Data Science Practitioner (CDSP) course, you’ll learn to analyse, manipulate, and present data within an effective and repeatable process framework.

In just 2 days, you’ll build knowledge on using data science principles to address business issues, as well as prepare datasets and train machine learning models. You’ll also learn how to:

  • Use multiple techniques to analyse data and extract valuable insights
  • Train, tune, and evaluate regression and forecasting models
  • Finalise a data science project by presenting models

At the end of this course, you’ll sit the CertNexus Certified Data Science Practitioner exam, and achieve your CDSP certification. As an Official CertNexus Partner, and through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to official courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for professionals across different industries seeking to demonstrate the ability to gain insights and build predictive models from data, as well as:

  • Data Scientist 
  • Data Analyst 
  • Data Engineer 
  • Data Architect
  • Database Administrator 
  • Business Analyst 
  • Data and Analytics Manager 
  • Business Intelligence Analyst 
  • Marketing Analyst 
  • BI developer
  • Product Owner
  • Machine Learning Engineer
  • Software Engineer
  • Analytics Consultant

Curriculum

Section 1: Addressing Business Issues with Data Science

  • Module 1: Initiate a Data Science Project
  • Module 2: Formulate a Data Science Problem

Section 2: Extracting, Transforming, and Loading Data

  • Module 1: Extract Data
  • Module 2: Transform Data
  • Module 3: Load Data

Section 3: Analysing Data

  • Module 1: Examine Data
  • Module 2: Explore the Underlying Distribution of Data
  • Module 3: Use Visualisations to Analyse Data
  • Module 4: Preprocess Data

Section 4: Preparing to Train a Machine Learning Model

  • Module 1: Identify Machine Learning Concepts
  • Module 2: Test a Hypothesis

Section 5: Developing Classification Models

  • Module 1: Train and Tune Classification Models
  • Module 2: Evaluate Classification Models

Section 6: Developing Regression and Forecasting Models

  • Module 1: Train and Tune Regression and Forecasting Models
  • Module 2: Evaluate Regression and Forecasting Models

Section 7: Developing Clustering Models

  • Module 1: Train and Tune Clustering Models
  • Module 2: Evaluate Clustering Models

Section 8: Finalising a Data Science Project

  • Module 1: Communicate Results to Stakeholders
  • Module 2: Demonstrate a Model in a Web App
  • Module 3: Implement and Test Production Pipelines

Exam Track

As part of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:

CertNexus Certified Data Science Practitioner (CDSP) exam

  • Duration: 2 hours
  • Format: Multiple-choice/Multiple-response
  • Languages: English

What's Included

Det hele er inkluderet! Du får en alt-inklusiv kursuspakke, som er målrettet til dine behov. Vi tager os af enhver detalje, så det eneste du skal fokusere på er dine lærings- og certificeringsmål.

  • Transport til/fra specifikke afhentningssteder
  • Overnatninger, samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Intensiv Hands-on uddannelse med vores unikke (Lecture | Lab | Review)TM metode
  • Omfattende kursusmaterialer og labmanualer
  • Et helt igennem instruktørstyret program
  • 24 timers adgang til både undervisningslokale og instruktøren
  • Samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
  • Certificeringsgaranti

Prerequisites

Before attending this accelerated course, you should have experience with databases, querying languages like SQL, and high-level programming languages like Python. You should also have knowledge in:

  • Database Design: A Modern Approach
  • SQL Querying: Fundamentals (Second Edition)
  • SQL Querying: Advanced (Second Edition)
  • Introduction to Programming with Python
  • Advanced Programming Techniques with Python
  • Using Data Science Tools in Python

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Firebrand Training tilbyder et ambitiøst uddannelsesmiljø, som forudsætter at du dedikerer dig til kurset. Ovenstående forkundskaber er vejledende; mange deltagere med mindre erfaring, men med en anden baggrund eller færdigheder, har haft succes med accelereret uddannelse hos Firebrand Training.

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Kundereferencer

Her er Firebrand Training review afsnit. Siden 2001 har vi trænet præcist 134.561 studerende og professionelle og bedt dem alle om at gennemgå vores Accelerated Learning. Lige nu har 96,40% sagt, at Firebrand har overgået deres forventninger.

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"It''s a third course I have with this instructor. His classes are fast-paced and well structured."
Anonymous. (8/1/2024 (Mandag) til 10/1/2024 (Onsdag))

"A super engaging and pleasant lecturer."
Michael White, Lloyds Banking Group. (10/7/2023 (Mandag) til 12/7/2023 (Onsdag))

"Facility is excellent. Training delivery and interaction with the trainer also excellent and the material is straightforward to follow with a good mix of theory and practical."
Mark Jeffery, Lloyds Banking Group. (10/7/2023 (Mandag) til 12/7/2023 (Onsdag))

"Our trainer kept the course very interesting and now I feel equipped with even more knowledge which I can bring to the working world."
Anonym (3/7/2023 (Mandag) til 5/7/2023 (Onsdag))

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Kursusdatoer

Starter

Slutter

Tilgængelighed

Sted

Tilmelding

19/2/2024 (Mandag)

20/2/2024 (Tirsdag)

Afsluttet - Giv feedback

-

 

24/6/2024 (Mandag)

25/6/2024 (Tirsdag)

Venteliste

Landsdækkende

 

5/8/2024 (Mandag)

6/8/2024 (Tirsdag)

Begrænsede pladser

Landsdækkende

 

16/9/2024 (Mandag)

17/9/2024 (Tirsdag)

Tilgængelige pladser

Landsdækkende

 

28/10/2024 (Mandag)

29/10/2024 (Tirsdag)

Tilgængelige pladser

Landsdækkende

 

9/12/2024 (Mandag)

10/12/2024 (Tirsdag)

Tilgængelige pladser

Landsdækkende

 

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