Advanced Data Science with Python

9 september, 2024Virtual

2 days
Data Science

Go beyond the basics with this Advanced Data Science with Python training. Packed with best practices, models, code, algorithms, and a framework to improve your projects, you will rapidly advance your skills by immersing yourself in two days of nothing but data science, machine learning, and Python. 

Book this training

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Looking to upskill your team(s) or organization? 

Rozaliia will gladly help you further with custom training solutions. 

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2 days


09:00 – 17:00









What will you learn?

After the training, you will be able to:

Build reproducible machine learning pipelines using scikit-learn

Apply best practices for machine learning with imbalanced datasets

Design custom transformers and estimators tailored to your use-cases

Analyze the effects of feature engineering and selection on the performance of your machine learning models using cross-validation


  • Scikit-learn refresher 
  • Organizing machine learning workflows with scikit-learn pipelines 
  • Feature Engineering and selection
  • Dealing with imbalanced data 

This training is for you if:

You are excited to learn how to build reproducible ML pipelines

You want personalized, instructor-led training to learn best practices right from the start.

You wish to build custom estimators and transformers tailored to your use-cases

You already have some experience with data science and are interested in learning advanced modelling skills.

This training is not for you if:

You want to get started with Python for data analysis (check out our Python for Data Analysis training instead).

You have never built a machine learning model with scikit-learn before (check out our Certified Data Science with Python training instead).

You want to learn more about packaging your Python code and making your data science projects production-ready (check out our Production Ready Python for Machine Learning course instead).

Why should I
follow this training?

Create your own custom scikit-learn objects that are composable with scikit-learn pipelines. 

Get best practices for working with Python, Pandas, and scikit-learn. 

Improve your model performance.

What else
should I know?

After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements.

See you soon!

Course information

All literature and course materials are included in the price. 

After registering for this course, you will receive a confirmation email with practical information. 

Meet the trainers

Lucy Sheppard 

Meet Lucy Sheppard, trainer at Xebia Data. Lucy is a data science trainer and teaches many Python courses as well as dbt Learn.

James Hayward

Meet James Hayward, a data science trainer at Xebia Academy. Get to know him here.

Nitin Bhushan

Meet Nitin Bhushan, trainer at Xebia Data. Nitin is a data scientist and teaches many data and AI related skills.

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