University of California San Diego

Introduction to Big Data

This course is part of Big Data Specialization

Ilkay Altintas
Amarnath Gupta

Instructors: Ilkay Altintas

326,050 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.6

(10,884 reviews)

18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(10,884 reviews)

18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course

Details to know

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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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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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 (1,781 ratings)
Ilkay Altintas
University of California San Diego
14 Courses493,845 learners
Amarnath Gupta
University of California San Diego
10 Courses466,445 learners

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Recommended if you're interested in Data Analysis

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4.6

10,884 reviews

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