Create Data Science Products
Just like ice cream, code from data scientists comes in different flavors, shapes and sizes. Creating Data Science products out of it, require understanding the various ingredients and data science techniques, without being an expert on any particular machine learning model. In this course you’ll be introduced to how to efficiently productionize data science models.
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.
This online course is perfect for
Data and Machine Learning Engineers who deal with productionizing Data Science models. Basic experience with Python is required. If you’re not quite there yet, we recommend the Python for Data Engineers course as preparation for this training.
What will you learn during the Create Data Science Products training?
After this training, you will have learned how to take data science models into production. You will understand the pandas and scikit-learn APIs and pipelines to effectively structure Python code. You will also learn about serializing data and monitoring models.
The program consists of both theory and hands-on exercises.
- Pandas dataframes
- Sklearn pipelines
- Data Serialization
- Hands-on code refactoring exercise
You will learn:
- How to restructure a notebook into a Python package
- How to choose the right file format for storing your data
- How to create testable pipelines from code written by data scientists
- How to monitor models running in production
This training is available in the following formats:
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.