Welcome to Fundamentals of Big Data, the fourth course of the Key Technologies of Data Analytics specialization. By enrolling in this course, you are taking the next step in your career in data analytics. This course is the fourth of a series that aims to prepare you for a role working in data analytics. In this course, you will be introduced to many of the core concepts of big data. You will learn about the primary systems used in big data. We’ll go through phases of a common big data life cycle. This course covers a wide variety of topics that are critical for understanding big data and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.
Overview
Syllabus
- Big Data Concepts
- In the first module of the course, we'll learn about core concepts of big data, including working with large data sets, big data strategies, and big data technologies. By the end of this module, you will know how to identify these aspects of big data and their use cases. So let's get started!
- Big Data Systems
- In the second module of this course, we'll learn about the primary characteristics of a big data system, including volume, velocity, and variety.
- Big Data Life Cycles
- In the third module of this course, we'll learn about the phases of a big data project, including data ingestion, data persistence, computing and analysis, and data visualization.
Taught by
Erik Herman
