IBM Decision Optimization on IBM Cloud Pak for Data (V2.5.x) eLearning

Introduction to IBM Decision Optimization on IBM Cloud Pak for Data • Describe what Decision Optimization is • Describe the five stages in a Decision Optimization project • Install Decision Optimization on IBM Cloud Pak for Data • Create projects to manage resources • Access the Decision Optimization service • Add data to your project Create models using Model Builder  • Prepare data • Run the model • Explore the solution • Run a new scenario  Create models using Python  • Use the DOcplex library to create models using Python  • Formulate your model using Create or Import  • Work with Jupyter notebooks • Learn about python coding from sample notebooks Deploy a model • Explain how to review a model • Explain how to deploy a model 

Data scientists, Operational Research specialists, or business analysts who are new to Decision Optimization on IBM Cloud Pak for Data

• Knowledge of your business requirements
• If you are planning to create or edit a model using Python or OPL, you require the skills and knowledge needed to convert a business problem to a mathematical model

• Introduction to IBM Decision Optimization on IBM Cloud Pak for Data • Create models using Model Builder  • Create models using Python  • Deploy a model