Certified Big Data and Data Analytics Practitioner (CBDDAP)-Why to attend:

Big Data is a “Change Agent” that challenges the ways in which leaders in organizations can make decisions. This course will provide participants with the tools in how to articulate Big Data architectures to support data driven solutions within their organizations. It provides hands on experience with “key” Big Data technologies used to solve intensive data challenges/problems. Participants will gain the knowledge and skills needed to assemble and manage large-scale Big Data analytics projects.

Course Methodology

This is a highly interactive course with group discussions and group activities, case studies, and hands-on practical exercises.

CBDDAP Course Objectives:

by the end of this course, participants will be able to:

• Design Big Data implementation plans and create strategies for data-driven solutions
• Discuss the mail challenges and advantages of Hadoop ecosystem and other Big Data distributed architectures
• Demonstrate and discuss key technologies for Big Data storage and computing, such as PostgreSQL and MongoDB
• Discuss popular “Machine Learning Algorithms” and the importance of ethics in data analytics and Artificial Intelligence
• Deliver an architectural diagram for analytics focused business cases

Course Outline:

• Introduction to Big Data Analytics
• Storing Big Data
• Computing Big Data
• Big Data Projects
• Architecting Big Data Solutions

Targeted Audience:

This course is ideal for Data Analytics, Data Engineers, Data Scientists, as well as technology-inclined management and administrative professionals seeking to understand Big Data strategies and technologies.

CBDDAP Prerequisites:

Pre-knowledge of basic programming experience and analyzing data in python. Knowledge of basic database technologies, and awareness of data analytics business-driven initiatives.