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Data Analytics with Python

Trainings-ID:
MPW-DAwP

Inhalt des Trainings

This course will provide you the knowledge and tools necessary to understand the capabilities and usage of Python for Data Analytics. It shows how to work on endto-end data science projects including data analysis and visualization by analyzing various datasets and building predictive outcomes using various Python libraries. It also explains building machine learning model with Python, common machine learning algorithms in Python and executing Python code with Azure Machine Learning, Spark and HDInsight cluster. This workshop is targeted at Analysts, Business Analytics Developers, and Data Engineers.

Skills:
Gain a comprehensive understanding of the features and capabilities of Python, Microsoft Products with Python and common machine learning algorithms 

Zielgruppen

Participants that have existing experience performing business analytics will receive the most value from this course. 

Vorkenntnisse

  • Participants that have existing experience performing business analytics will receive the most value from this course. 
  • Some basic knowledge of Python
  • Some familiarity with machine learning concepts and predictive modelling

Detail-Inhalte

Day 1
Introduction to Machine Learning and Python Programming
  • Introduction to Python Installation & IDE Tools
  • Overview of Programming Basics with Python
  • Most Common & Important Packages in Python

Day 2
Machine Learning with Python
  • Data Exploration, Analysis and Transformation with Python
  • Building Machine Learning Model with Python
  • Common Machine Learning Algorithms in Python
  • Building E2E Machine Learning Solution with Python

Day 3
Python integrating with Microsoft Products
  • Executing Python Code with Azure Machine Learning
  • Machine Learning Services and Machine Learning Server for Python
  • Executing Python Code within Spark and HDInsight

Downloads

Jetzt online buchen

  • 24.06.-26.06.2024 24.06.2024 3 Tage 3T Wien Online
    ETC-Wien · Modecenterstraße 22, Office 4, 5. Stock, 1030 Wien Uhrzeiten
    • Preis  5.170,-
      • Präsenz
      • Online

Preise exkl. MwSt.

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