Ideation & Infraestructure

Familiarity with data management concepts and technologies, basic project management principles, and proficiency in Python, are required.

Intermediate

Difficulty

5.0

Hours per week

8

Live Sessions

Jan 15, 2024

Next Date

Objective

The objective of this program is to provide participants with the knowledge and skills necessary to effectively ideate, design, and build data products. It aims to equip participants with a deep understanding of the ideation process and the infrastructure required to support data product development.

Requeriments

• Familiarity with data management concepts and technologies.

• Understanding of basic project management principles.

• Proficiency in a programming language commonly used in data engineering, such as Python

Syllabus

1
Data Product Discovery and Ideation

Learn techniques to identify data product opportunities and foster creative idea generation. Conduct user research and analyze data to make informed product decisions. Define user personas and use cases to ensure data products meet the needs of the target audience.

2
Data Infrastructure

Understand the crucial role of data infrastructure in successful data product management. Explore different data storage and processing technologies to select the most suitable options for specific data products. Implement data pipelines and integrations to facilitate seamless data flow and support data product development.

Mentor

Mentor to be defined.
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