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Adastra Academy

Advanced Analytics

More than reporting. Discover the benefits your company will gain using advanced analytics.

What will you learn?

You will get familiar with some common techniques and tools of advanced analytics in python.  

On real data and use cases in python, we will go through: 

  • exploratory data analysis and data visualizations
  • statistical inference and hypothesis testing 
  • creation of data processing and machine learning pipelines  
  • linear regression 
  • multi-class multi-label classification 
  • anomaly detection  
  • and we will also touch upon natural language processing (NLP) 

In addition to new knowledge and skills you also end up with a ton of useful code in jupyter notebooks. 

We will be using nothing but open source software: python 3, pycharm community edition, jupyterlab, numpy, scipy, pandas, matplotlib, seaborn, plotly, scikit-learn, … 

Three 2-hour online sessions or in person - depending on the current pandemic situation. 

3 x 2h

Three 2-hour online sessions or in person - depending on the current pandemic situation.

Who is the training intended for:

  • python-positive person
  • business intelligence managers and specialists
  • reporting specialists
  • data analysts
  • financial analysts
  • controlling department staff
  • marketing staff
  • branch network managers
  • persons responsible for improving customer experience

What you will need:

  • your own laptop with python 3.x and pycharm community edition
  • basic knowledge of python (https://python101.pythonlibrary.org/part_i.html)

The price includes:

  • training materials
  • certificate of course completion
450 €

EUR per person (without VAT). The price is for all 3 sessions. It's not possible to buy only one session. It's necessary to order it as the whole course.

Radoslav Paučo will guide you through the training.

Radoslav Paučo

Consultant

Radoslav Paučo

I want to be informed about upcoming training dates

Thank you

We will contact you as soon as possible.

Petronela Ludrovská

HR Department

Petronela Ludrovská