Oracle Analytics Cloud Corporate Training | Citizen Data Scientist Corporate Training Agenda
Citizen data scientist corporate training agenda
Our citizen data science course enables users to work with the machine learning and data science features within Oracle Analytics Cloud (OAC). The course not only explains how to use the features in the product, but explains the theory and principles behind statistical analysis, machine learning and data science. You will learn:
- Introduction to machine learning.
- Oracle ML services.
- Classification and regression models.
- Machine learning on ADW.
- Statistics and data biases.
- The future of AI / ML.
- Oracle AI services.
This course is perfect for both professionals with no / basic understanding of OAC, and technical users with a good understanding / experience with OAC, who want to enhance their ability to communicate data insights.
Pythian has been an Oracle premier partner for decades
Pythian has cultivated a relationship with Oracle built on deep technical excellence and a commitment to customer success, establishing ourselves as a premier partner in the Oracle ecosystem. Our proven history working with the world's most complex Oracle environments, backed by a team of industry-leading Oracle ACEs, guarantees that your Oracle applications and data systems deliver maximum value and performance.
How is our citizen data science corporate training delivered?
The course will be divided into lessons and labs. During lessons, the instructor will present a series of slides to explain the topic. During labs, delegates will be provided with exercises going over the functionality the instructor has just covered in the lessons. The delegates will be asked to complete the labs in the allocated time. The instructor will be available to answer any questions and provide assistance. Each delegate will be provided with a live Oracle Analytics instance to complete the labs.
Session 1
- Introduction to machine learning
- Labs DV: Data exploration
- Introduction to machine learning continued
- Oracle ML services
- Labs DV: Classification and regression models
Session 2
- Oracle machine learning on ADW
- Labs AutoML UI
- OML continued
- Labs OML
Session 3
- Further statistics and data biases
- Labs explore datasets (identify issues)
- Future of AI / ML
- Oracle AI services
Session 4
- Overflow and workshop
- Case study example