PySpark Training Courses

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PySpark Training Courses

Το τοπικό εκπαιδευτικό πρόγραμμα PySpark, που διευθύνεται από εκπαιδευτές, αποδεικνύει μέσω της πρακτικής άσκησης πώς να χρησιμοποιήσει το Python και το Spark μαζί για να αναλύσει τα μεγάλα δεδομένα. Η εκπαίδευση PySpark είναι διαθέσιμη ως "live on-the-job training" ή "remote live training". Η επιτόπια κατάρτιση σε πραγματικό χρόνο μπορεί να πραγματοποιηθεί σε τοπικό επίπεδο στις εγκαταστάσεις του πελάτη Ελλάδα ή σε εταιρικά κέντρα κατάρτισης NobleProg στο Ελλάδα . Η απομακρυσμένη ζωντανή προπόνηση πραγματοποιείται μέσω μιας διαδραστικής, απομακρυσμένης επιφάνειας εργασίας. NobleProg - Ο τοπικός παροχέας εκπαίδευσης

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PySpark Course Outlines

Course Name
Duration
Overview
Course Name
Duration
Overview

Python and Spark for Big Data (PySpark)

21 hours
In this instructor-led, live training in Ελλάδα, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises. By the end of this training, participants will be able to:
  • Learn how to use Spark with Python to analyze Big Data.
  • Work on exercises that mimic real world cases.
  • Use different tools and techniques for big data analysis using PySpark.

Last Updated:

Upcoming PySpark Courses

Python and Spark for Big Data (PySpark)

2023-02-01 09:30
21 hours

Python and Spark for Big Data (PySpark)

2023-02-01 09:30
21 hours

Other countries

Consulting

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Course Discounts

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7 hours

Data Science: Analysis and Presentation

2023-01-06 09:30
7 hours

Building Microservice Architectures

2023-02-27 09:30
14 hours

Simulink® for Automotive System Design Advanced Level

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14 hours

From Zero to AI

2023-05-01 09:30
35 hours
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We are looking for a good mixture of IT and soft skills in Greece!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
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  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

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