Training schedule

21 Nov - 23 Nov, 2022
Amsterdam / English
14 Dec - 16 Dec, 2022
Online, instructor-led / English


Contact Giovanni Lanzani, if you want to know more about custom data & AI training for your teams. He’ll be happy to help you!
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Data Scientist Learning Journey - Junior

Certified Data Science with Python Training

Learn the best practice in for effective data science and machine learning with this practical Python training. Explore how Python can help you take the next step in your Data & AI career, guided by GoDataDriven’s Data Science experts in this 3-days course. Earn the Data Science with Python Foundation certification after the training.

Clients we've helped

  • Soda Logo
  • Databricks
  • Grafana
  • Prometheus

What you'll learn

Machine Learning with scikit-learn

  • Machine Learning models
  • Data Transformations
  • Data Estimators
  • How to combine these into pipelines
  • How to automate everything in a grid search
  • How to write building blocks

Data Visualization

  • How to create plots with Matplotlib in other packages
  • More advanced plots with Seaborn
  • More expressive plotting libraries (e.g. plotnine, plotly or Altair)


  • Where the performance comes from
  • Some limits of the performance
  • About broadcasting and its advantages
  • How to work with shape conventions
  • The most useful NumPy functions and tricks

Jupyter Notebooks

  • How to create interactive documents
  • The most useful tips and tricks (magics, and more.)
  • How to organize your project


  • How to perform data-wrangling tasks
  • The most important methods and functions in pandas
  • How to customize aggregations
  • How to organize code and use pandas pipelines
  • Understanding stateless transformations
  • How to automate logging in pandas

The schedule

Training Day 1
  • Working with Jupyter notebooks in a sustainable way
  • How to do numerical computations and linear algebra with NumPy
  • Visualizing data with Matplotlib, Seaborn, and other packages
  • Transforming and munging data with pandas
Training Day 2
  • ML concepts:
    • Why and when to use ML
    • Types of Learning tasks & ML approaches
  • ML Theory:
    • Optimisation with gradient descent
    • Under/Overfitting, Generalisation & Regularization
  • Introduction to Scikit-Learn
    • Training & evaluating a Scikit-Learn estimator
    • Interpreting a Scikit-Learn model
  • Overview of ML algorithms
    • Pros & Cons of the most common ML models
    • How to choose an appropriate ML model
Training Day 3
  • Scikit-learn Pipelines
    • Preprocessing with Scikit-Learn transformers
    • Cross-validation and hyperparameter searches
  • Hackathon
  • Data Science with Python Foundation exam



Data Science with Python Foundation Certification

We have worked together with APMG International to offer you a recognized partner to get certified in Data Science.

The exam and Data Science with Python Foundation certificate are included in the course Data Science with Python. The exam can be taken directly after the training or at a moment of your choice. If you get at least 50% of the 50 multiple choice questions right, you will pass the exam and receive your certificate. More information about the exam can be found here. Prepare in advance with this Data Science with Python Foundation sample exam here. Please select “Data Science with Python Foundation” from the dropdown menu.


Discover your knowledge level of Python for Data Science

Apply for a GoDataDriven Academy Scholarship

We believe that our courses empower people to be more effective with data and tech so they can better help colleagues and delight customers. Attending one of our training is also a great way to expand your network, increase your employability, and to command bigger salaries. If you already have a well-paying job, our prices are really affordable. Not everyone is so lucky though. So if you wish to attend one of our most popular courses, but require financial support, we'd love to hear from you.

Apply for the Scholarship
meet your trainer

James Hayward

Data Educator

James holds a Master’s degree in Artificial Intelligence from the University of Amsterdam (Cum Laude); a Master’s in Educational Leadership from UCL (Merit); and a Bachelor’s degree in Mathematics from the University of Manchester (First Class Honours). He is fluent in Python and its data science libraries, such as Pandas and Sci-kit Learn, and is proficient with the deep learning frameworks PyTorch and TensorFlow.

Flexible delivery

The Right Format For Your Preferred Learning Style

In-Classroom & In-Company Training
Online, Instructor-Led Training
Hybrid and Blended Learning
Self-Paced Training
Get in touch with the experts

Have any questions?

Contact Giovanni Lanzani, our Managing Director of Learning and Development, if you want to know more. He’ll be happy to help you!

Call me back

You can reach him out by phone as well at +31 6 51 20 6163

Course: Certified Data Science with Python Training

Book now