The course aims to provide participants with a comprehensive understanding of Big Data, its importance, techniques for analysis, and how it can be used to drive decision-making and innovation.
This course covers the fundamental and advanced aspects of Big Data. It explores the principles of Big Data collection, management, analysis, and visualization, along with an introduction to the tools and technologies used in handling Big Data.
Target Group
This course is ideal for IT professionals, data analysts, business analysts, researchers, and anyone interested in understanding and leveraging Big Data.
Goals
Understand the concept, importance, and implications of Big Data.
Learn the methods for Big Data collection, storage, and management.
Understand the principles of Big Data analysis and the use of advanced analytics techniques.
Get hands-on experience with Big Data tools and technologies.
Understand the role of Big Data in decision-making and innovation.
Target Competencies
Understanding and managing Big Data
Big Data analysis and processing
Use of Big Data tools and technologies
Big Data visualization
Decision making with Big Data
Outlines
Introduction to Big Data
Understanding Big Data: Definition, Characteristics, and Implications.
The role and importance of Big Data in today's world.
Different types of Big Data: Structured, Semi-structured, and Unstructured.
Overview of Big Data Ethics and Privacy.
Big Data Collection and Management
Techniques for collecting Big Data.
Understanding Big Data storage: Databases and Data Warehouses.
* Password must be at least 8 characters long * Password must contain at least one lowercase letter * Password must contain at least one uppercase letter * Password must contain at least one digit
