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
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Fundamentals of Big Data
This course is part of Key Technologies in Data Analytics Specialization
Instructor: Erik Herman
1,880 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
Add to your LinkedIn profile
Assessments
13 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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
MathWorks
Duke University
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
Showing 3 of 24
4.3
24 reviews
- 5 stars
62.50%
- 4 stars
20.83%
- 3 stars
4.16%
- 2 stars
8.33%
- 1 star
4.16%
DZ
5
Reviewed on Jun 7, 2021
New to Data Management? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.