Data Science with Python (2-day crash course!)
Do you know how to perform basic data analysis in Python but want to learn more about machine learning? During this two-day data science deep dive, you will learn how to unlock Python’s potential for data analysis and machine learning. The Data Science with Python Foundation course covers training models with scikit-learn and best practices for transforming your data with pandas, with a perfect combination of theory and practice.
Looking to upskill your team(s) or organization?
Diego will gladly help you further with custom training solutions.
Diego Teunissen
Data and AI Training Advisor
What will you learn?
After the training, you will be able to:
Perform exploratory data analysis on your datasets with pandas
Train and evaluate machine learning models with scikit-learn.
Identify a suitable machine learning algorithm and metric for your data problem.
Prepare complex data for machine learning with techniques such as scaling, encoding, and imputing.
Apply best practices for data wrangling and model building.
Program
Master exploratory data analysis with Pandas
- Fetch descriptive summary statistics of your data with simple operations
- Effectively select and filter parts of your data with loc
- Retrieve advanced statistics with groupby aggregations
- Extend your dataset by creating new columns with assign
- Structure your code neatly by chaining methods
Introduction to machine learning
- Identify the type of machine learning task (classification or regression, supervised or unsupervised, and others)
- Use scikit-learn to train a classification model
- Understand how to evaluate your model’s effectiveness with various metrics (such as precision & recall, F1, root mean squared error, r2)
This training is for you if:
You have some basic experience with Python (or any other programming language)
You are eager to get more out of your data and build your own predictive models.
You would like to apply best practices to your data science projects.
You hope to better communicate and collaborate with your data science colleagues.
This training is not for you if:
You’ve never worked with Python or any other programming language before (check out our Python for Data Analysis training instead)
You are already an experienced data scientist and you want to develop your skills further (check out our Advanced Data Science training and other specialized topics instead)
You think data science is all hype and can’t add value (check out our Analytics Translation training instead).
You want to take an exam to become Certified (check out our 3-day Certified Data Science with Python course)
Why should I
follow this training?
Dive into the world of Data Science and Machine Learning using Python.
The course combines theory and practice perfectly, making it a great introduction to the field.
Get best practices for data wrangling and model building.
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 and share literature if you need to prepare.
See you soon!
Course information
For this training, you need a laptop on which you can install programs.
All literature and course materials are included in the price.
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.
Lysanne van Beek
Lysanne is a Data Science Educator at Xebia Data and loves making courses as accessible as possible. With roughly 1,500 hours of training experience and over 1,000 students taught, she’ll make sure you get the most out of your training.
