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.
Fundamentals of Big Data
Fundamentals of Big Data
This course is part of Key Technologies in Data Analytics Specialization
Instructor: Erik Herman
1,911 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.3
(24 reviews)
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
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Assessments
13 assignments
Taught in English
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This course is part of the Key Technologies in Data Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
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!
What's included
9 videos3 readings4 assignments6 discussion prompts
In the second module of this course, we'll learn about the primary characteristics of a big data system, including volume, velocity, and variety.
What's included
9 videos4 readings4 assignments6 discussion prompts
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.
What's included
10 videos5 readings5 assignments7 discussion prompts
Instructor
Instructor ratings
4.8 (6 ratings)Offered by
Recommended if you're interested in Data Management
Amazon Web Services
Cloudera
The State University of New York
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4.3
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DZ
5
Reviewed on Jun 7, 2021
It will Give me a very fresh experience of Big Data, prof. Erik Herman has excellent capabillies to involve studnets in E-Learning.
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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