Examples of Value of Data Science

About this course

Welcome to the course on data science workflow
In this course, you'll be taken through a few examples illustrating how data scientists work with industrial data to generate value.

By the end of this chapter you will understand:

Understand how data science makes data valuable and improve processes for companies.
Learn that also quite simple models could be highly valuable for the companies.

Who should take this course?
This course was created for anybody interested to learn more about data science.
This course is independent, but also part of the learning path Data Science Fundamentals. We recommend that you take all courses from the Data Science Fundamentals series and take the final test to receive a certificate of completion.

Estimated duration
20 min

Instructors
The courses are developed by Cognite Academy in collaboration with other industry experts.

Rebecca Seyfarth
Senior ML Engineer in Contextualization at Cognite AS

Alina Astrakova
Senior ML Engineer in Services - Solution Architecture at Cognite AS

Collaborator

Vegard Flovik, Ph.D.
Lead Data Scientist | Associate Professor II in Machine

August Wiese
Senior Data Scientist in InSo - Smart Maintenance at Cognite AS

Ashu Kumar
Director of Customer Success in Customer success at Cognite AS

Johan Hatleskog
Software Engineer II in D-MVP

Anurag Agarwal
Principal Data Scientist at GE Aviation

Curriculum

Examples of value of data science
Value of data science
What are you going to learn?
Safe operation after gas turbine shutdown
August Wiese - an example from the industry
Learn how data scientists at Cognite created an event creator
Turbine use case
Cognite and Wintershall Dea use case
Dynamic Max Flow
Dynamic Max Flow - use case
Dynamic Max Flow - the main challenge
More use-case examples
Cognite use case in Siemens
Cognite use case in Framo
Cognite use case in AkerBP
We asked Vegard
Vegard's experience on an interesting project
Excercise
Key takeaways
Feedback
Well done

About this course