Python in Data Analysis: Data Processing & Analysis, Machine Learning, Big Data and Cloud Computing (4 days)

Python has always been popular among scientists and researchers. Thanks to that, it has one of the best environments for data analysis. A lot of advanced libraries and tools are developed. However, variety of all of them confuses newbies. This workshop removes this confusion.

At this workshop you will learn:

  • How to quickly visualize data and draw beautiful plots with Seaborn?
  • How to process data with Pandas?
  • How to do machine learning with scikit-learn?
  • How to convert data between different formats?
  • How to speed up computations by running them in a cloud with Dask?
  • And many, many more.

Check out the detailed course syllabus

1. Tools

2. Data Visualization with matplotlib and Seaborn

3. Data Processing with Pandas

4. Machine Learning with scikit-learn

5. Distributed Processing with Dask

Your Trainer - Chris Mędrela

  • Certified Instructor of both Software Carpentry and Data Carpentry, leading organizations providing workshops for scientists and researchers.
  • Open Source contributor - creator of System Check Framework introduced in Django 1.7 in 2014.
  • Delivered workshops for corporations (Nokia, Ericsson, Motorola, Allegro and more) and public sector (Office for National Statistics, Aarhus University).
Your Trainer Chris Mędrela