Successfully Implement Data Science Use Cases in your Organization
Do you work for a company that uses data and AI and you want to play a central role in these processes? Then it is important to develop the skills to translate business challenges into analytical use cases. Develop your analytics translator skills with the Data Science Product Owner Learning Journey.
Data Science Product Owners / Analytics Translator Learning Journey
By bringing together business demand with data science capabilities, the data science product owner leads the process from idea to implementation. The data science product owner plays a vital role to bring use cases to production effectively. Whether you work as an IT, analytics or business manager, product owner, Agile coach, or subject matter expert, this training will deepen your knowledge of how to develop successful data and AI products.
Free Video Course: Analytics Translator
Our Analytics Translator training is available as on-demand video training.
Learning Journey for Product Owners
This journey provides a solid foundation for expanding your role in a wide range of areas.
Learning Goals of the Data Science Product Owner Learning Journey
- Acquire the basics, possibilities, and trade-offs of data & AI
- Understand the analytics approach, use case creation, and idea prioritization
- Learn the challenges of fairness and ethics in data & AI, and how to overcome bias
- Be able to ensure successful implementation and use of data & AI solutions for the end-user
Analytics Translator / Data Science for Product Owners Training
After this 3-day training (available online instructor-led, classroom,and in-company), you will know how to successfully identify, develop, and execute AI use cases in your organization. You will be able to drive the development of AI solutions that match business needs. Through every step of the development process, you validate whether the solution generates value.
The training takes you through the complete process of generating AI solutions and shows you what is needed to be successful. Basic knowledge of data and AI is helpful but not required.
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.
The Tech to Randstad’s Touch – Alexander Croiset
When the conversation with Alexander Croiset turns to the subject of data, his face lights up. “I’m all data! I love to analyze things,” he beams. As an analytics translator at Randstad (also known as a data science product owner), he is a significant driver in making Randstad a more data- and value-driven organization.
Linking Data Science with the Business
In his role as analytics translator, Alexander bridges the gap between business needs and data science solutions.
“On the business side, many people used to make decisions based on feeling,” he elaborates. “I always ask them to show me data. By finding the right data, I try to answer their questions.”
Training Directions After This Learning Journey
Whatever your background, our Data Science for Product Owners training and learning journey will equip you with the knowledge and skills to take on this challenge with confidence. After this learning journey, the continued learning path varies depending on your experience and aspired direction.
Deepen Your Data Science Skills?
Product Owners who want to deepen their Data Science skills would benefit from acquiring skills to create data products using Python. The certified Python Essentials course makes for an excellent entry point to embark on the Data Science Learning Journey.
Deepen Your Product Owner Skills
Data Scientists who want to deepen their product owner skills If your experience is in data science, you will benefit from further developing your product owner skills. Xebia Academy offers an excellent variety of certified product owner courses.
Sharing experiences from the field. The trainers had a lot of practical experience and knowledge and could relate theory very well to practical examples.
The training did not only provide knowledge about pandas, scikit-learn, but also about the way to think as a data scientist.
The training really starts from scratch, which is a great thing for beginners. The training covers a large range of topics in R, ending with a very interesting section on modelling
I liked every aspect of the training and would like to thank the trainers. They did an excellent job in explaining how to use Spark for data science. This is now the fourth training from GoDataDriven that I followed, they were all great, but this was the best one so far.
Develop the skills of your organization
Find the right courses to grow your team’s Data & AI skills, or design learning journeys at scale to empower your entire organization.