Clean Code for Data Scientists
In this interactive session, we will look at code produced by course attendees through the eyes of a software engineer. Where will software engineers focus on? Think about error handling, clean code techniques, readability, design patterns etc.
About the Course
In many cases, data science starts as an experiment to see whether the required information is available in the data yes or no. In case this leads to success, people often want to take this to the next phase. And this is where the shoe pinches. Moving from an experimental phase to a production one is not always easy.
To gain the utmost from this session, we would like course attendees to supply the trainer with two pieces of code:
- The first part of which course attendees think it can easily be used in a production environment.
- The second part of which course attendees think there is room for improvement. We will look at the code from a software engineering perspective.
Course content
You will learn:
- At the end of this course, you will have a better understanding of what it takes to produce a quality product and what it takes to produce durable and safe code.
Who is it for?
- Data scientists
- Software engineers
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
DP-203: Data Engineering on Microsoft Azure
This course is directly mapped to and supports learning for the DP-203: Data Engineering on Microsoft Azure certification exam.
AZ-900 Microsoft Azure Fundamentals
This course is directly mapped to and supports learning for the AZ-900 Microsoft Azure Fundamentals certification exam.
Data driven business consulting
Learn how to solve business questions using data. In this course we teach you the basics of data processing to turn data into insights. After the basics are set, we set you to work to solve some business cases backed by your own data analysis.