Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!
Introduction to Big Data
Introduction to Big Data
This course is part of Big Data Specialization
Instructors: Ilkay Altintas
327,059 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.6
(10,893 reviews)
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
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Assessments
6 assignments
Taught in English
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This course is part of the Big Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 6 modules in this course
Welcome to the Big Data Specialization! We're excited for you to get to know us and we're looking forward to learning about you!
What's included
2 videos2 readings1 discussion prompt
Data -- it's been around (even digitally) for a while. What makes data "big" and where does this big data come from?
What's included
13 videos13 readings1 assignment2 discussion prompts
You may have heard of the "Big Vs". We'll give examples and descriptions of the commonly discussed 5. But, we want to propose a 6th V and we'll ask you to practice writing Big Data questions targeting this V -- value.
What's included
7 videos9 readings1 assignment2 discussion prompts
We love science and we love computing, don't get us wrong. But the reality is we care about Big Data because it can bring value to our companies, our lives, and the world. In this module we'll introduce a 5 step process for approaching data science problems.
What's included
11 videos12 readings1 assignment2 discussion prompts
Big Data requires new programming frameworks and systems. For this course, we don't programming knowledge or experience -- but we do want to give you a grounding in some of the key concepts.
What's included
4 videos4 readings1 assignment
Let's look at some details of Hadoop and MapReduce. Then we'll go "hands on" and actually perform a simple MapReduce task using a Docker container. Pay attention - as we'll guide you in "learning by doing" in diagramming a MapReduce task as a Peer Review.
What's included
11 videos8 readings2 assignments1 peer review1 discussion prompt
Instructors
Instructor ratings
4.7 (1,782 ratings)Offered by
Recommended if you're interested in Data Analysis
University of Colorado Boulder
Coursera Instructor Network
Universitat Autònoma de Barcelona
University of Washington
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Learner reviews
4.6
10,893 reviews
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Showing 3 of 10893
AJ
5
Reviewed on Dec 21, 2020
Having a great and deep start about Big Data. this course helps me understand how big data is very useful to solve real-world problems before it happens or that situation was where a problem occurs.
CB
5
Reviewed on Nov 7, 2018
Very interesting course. Explained concepts I'd heard of but didn't really know about. It is a foundation course for a specialization, it's not enough by itself but very good as a foundation course.
SS
5
Reviewed on Sep 14, 2019
It is a comprehensive introduction to big data which covers significant components with enough content that can be absorb at this stage. A very good kick-start and excited for the next course ahead.
New to Data Analysis? Start here.
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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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