Training

Advanced Data Science with Python

Two-Day Training

Advanced Data Science with Python

Two days of nothing but Data Science, Machine Learning and advanced Python skills. You know Machine Learning, but working with it on a daily basis is a different story. This course is packed with best practices, models, code, algorithms and a framework to improve your projects.

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This online course is perfect for

Data Scientists, who are familiar with Python and wish to become more effective at creating predictive models by applying Machine Learning to their organization’s data. Experience with Python and machine learning basic is required. If you’re not quite there yet, we recommend the Data Science with Python Foundation Training course as preparation for this training.

What will you learn during Advanced Data Science with Python?

After this training, you will be able to combine state-of-the-art Machine Learning algorithms and advanced Python tools to build top-notch predictive/classification models using clear, concise and maintainable code.

The Program

The program consists of both theory and hands-on exercises.

Day 1: Advanced Python

  • Software engineering best practices with Python
  • Decorators
  • Generators & itertools
  • Context managers
  • Object Oriented programming
  • From notebooks to packages

Day 2: Machine Learning

  • Regression, classification, and clustering in scikit-learn
  • Building model pipelines
  • Ensemble learning using bagging and boosting
  • Machine Learning algorithms (e.g., Random Forests, XGBoost, Neural Networks)

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Course details

You will learn:

  • Best practices in Python
  • How to make a pythonic machine learning module
  • Statistical techniques for (re)sampling your data
  • Several widely-used machine learning algorithms
  • How to create your scikit-learn transformers and estimators
  • How to train and evaluate your model using scikit-learn pipelines

Download Training brochure

Download the GoDataDriven brochure for a complete overview of available training sessions and data engineering, data science, and analytics translator learning journeys.

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Availability

Training Formats

This training is available in the following formats:

In-Company Classroom

In-Company training is perfect for groups of 6 or more. The training takes place online, at your office, or at one of our modern training facilities.

Online Virtual Classroom

Virtual Classrooms provide you with an interactive environment to effectively develop your skills, right from the comfort of your own home or office.

Data Science Engineering Journey

This data engineering learning journey is available for any data experts. Our extensive training programs are designed to develop your skills from junior to senior.

How do you become a data engineering expert? Start here! We’ve put together a carefully crafted learning journey for data engineers. Knowing engineers love to figure things out on their own, we packed the program with opportunities to learn, hands-on, by solving real-life situations. Plus, there’s plenty of practical philosophy, too.

We’ll teach you how to leverage Docker to ease your deployments and navigate code written by data scientists ( Advanced Python and Data Science in Production). You will learn to use Apache Airflow, Apache Spark, and Kafka like a forklift to move data around.

Click here for more information about the Learning Journey for Data Engineers

GoDataDriven - Data Engineer Learning Journey

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Any questions? Please get in touch!

Contact Gert-Jan Steltenpool, our Sales Director, if you want to know more. He’ll be happy to help you!