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Data Science
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Data Science

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Gruppenunterricht
Gruppenunterricht
Data Analysis
Data Analysis
Programmierung
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9,800.00 €
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Über den Kurs

Phase I

You'll learn

  • to use Python for common data handling and visualization tasks
  • to buildi machine learning systems with scikit-learn

Phase II

You’ll learn

  • to build image processing systems and language processing systems with TensorFlow
  • techniques to write bigger Python applications

Phase III

You'll learn

  • to deploy state-of-the-art machine learning systems in a distributed computation environment
  • to explore the latest deep learning techniques
  • combine everything you’ve learnt in your self-defined final project

Sie lernen

Data Analysis in Python

You’ll use Python to collect, wrangle, and clean data. You will become fluent in using powerful Python libraries like Pandas and NumPy to explore your data and conduct statistical analyses.

Data Visualization & Reporting

You’ll learn to present your data beautifully using Matplotlib and Seaborn as well as learning how to create interactive data visualizations with D3.js.

Data Infrastructure

You’ll deploy your machine learning systems on modern architectural components including Docker containers and AWS to distributed computing with Spark. You will apply techniques to test and monitor your services.

Machine Learning

You’ll delve into the world of machine learning with the two frameworks scikit-learn and TensorFlow. You will build machine learning systems ranging from simple linear regression to state-of-the-art deep learning systems.

SQL & NoSQL

You’ll organize your data in SQL databases like PostGreS and in NoSQL databases like MongoDB. You will learn to convert data between widespread formats like JSON and CSV and run efficient queries on your databases.

Git & Github

You'll use Git and Github throughout for the course to utilize collaboration & version control of your code.

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Data Science

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