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Advancded Data Sciences with Python

Dates for Open Courses

Course only available as in-house training. Please ask us at info@python-academy.de

Intended Audience

Data scientists with good knowledge of Python and of of basic Python data science libraries.

It is strongly recommended participants attend our course Foundations of Data Science with Python or have have inequivalent knowledge. This course can be combined with introductory courses (see Recommended Module Combinations) to achieve appropriate Python skills.

Motivation

Machine learning and natural language processing are important methods for data science. Python is commonly used in data science. This course provides an overview of important Python libraries for these data science fields.

Course Content

Machine Learning with Python

  • preprocessing
  • dimensional reduction
  • kernel transformations
  • regression and classification
  • model selection
  • cross-validation
  • grid-search

Natural Language Processing with Python

  • NLP
  • text modeling and classification
  • topic modeling
  • webscraping with bs4 and scrapy

Parallel Programming

  • multiprocessing
  • multithreading
  • MPI
  • introduction to hadoop streaming
  • mrjob
  • luigi
  • pyspark

Course Duration

5 days

Exercises

The participants can follow all steps directly on their computers. There are exercises at the end of each unit providing ample opportunity to apply the freshly learned knowledge.

Course Material

Every participant receives comprehensive printed materials that cover the whole course content as wells as all source codes and used software.

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