About this Course

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Learner Career Outcomes

45%

started a new career after completing these courses

39%

got a tangible career benefit from this course

11%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 17 hours to complete
English
Subtitles: Arabic, Korean, English, Hindi, Persian

Skills you will gain

Big DataApache HadoopMapreduceCloudera

Learner Career Outcomes

45%

started a new career after completing these courses

39%

got a tangible career benefit from this course

11%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 17 hours to complete
English
Subtitles: Arabic, Korean, English, Hindi, Persian

Offered by

University of California San Diego logo

University of California San Diego

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(44,568 ratings)Info
Week
1

Week 1

20 minutes to complete

Welcome

20 minutes to complete
2 videos (Total 3 min), 2 readings
2 videos
Tell us about yourself and learn about your classmates20s
2 readings
By the end of this course you will be able to...2m
Optional: Watch this fun video about the San Diego Supercomputer Center!10m
4 hours to complete

Big Data: Why and Where

4 hours to complete
13 videos (Total 77 min), 13 readings, 1 quiz
13 videos
Applications: What makes big data valuable11m
Example: Saving lives with Big Data6m
Example: Using Big Data to Help Patients10m
A Sentiment Analysis Success Story: Meltwater helping Danone1m
Getting Started: Where Does Big Data Come From?2m
Machine-Generated Data: It's Everywhere and There's a Lot!3m
Machine-Generated Data: Advantages4m
Big Data Generated By People: The Unstructured Challenge5m
Big Data Generated By People: How Is It Being Used?10m
Organization-Generated Data: Structured but often siloed7m
Organization-Generated Data: Benefits Come From Combining With Other Data Types4m
The Key: Integrating Diverse Data5m
13 readings
Did you know?: 25 facts about big data10m
Slides: What Launched the Big Data Era?10m
Slides: Applications: What Makes Big Data Valuable?10m
Slides: Saving Lives With Big Data10m
Slides: Using Big Data to Help Patients10m
Extra Resources10m
Slides: Machine-Generated Data: It's Everywhere and There's a Lot!10m
Slides: Machine-Generated Data: Advantages10m
Slides: Big Data Generated By People: The Unstructured Challenge10m
Slides: Big Data Generated By People: How is it Being Used?10m
Slides: Organization-Generated Big Data: Structured But Often Siloed10m
Slides: Organizaton-Generated Big Data: Benefits10m
Slides: The Key - Integrating Diverse Data10m
1 practice exercise
Why Big Data and Where Did it Come From?38m
Week
2

Week 2

2 hours to complete

Characteristics of Big Data and Dimensions of Scalability

2 hours to complete
7 videos (Total 34 min), 9 readings, 1 quiz
7 videos
Characteristics of Big Data - Volume5m
Characteristics of Big Data - Variety5m
Characteristics of Big Data - Velocity6m
Characteristics of Big Data - Veracity6m
Characteristics of Big Data - Valence2m
The Sixth V: Value4m
9 readings
What does astronomical scale mean?10m
A Small Definition of Big Data10m
Slides: Getting Started - Characteristics of Big Data10m
Slides: Characteristics of Big Data - Volume10m
Slides: Characteristics of Big Data - Variety10m
Slides: Characteristics of Big Data - Velocity10m
Slides: Characteristics of Big Data - Veracity10m
Slides: Characteristics of Big Data - Value10m
Slides: Characteristics of Big Data - Valence10m
1 practice exercise
V for the V's of Big Data14m
4 hours to complete

Data Science: Getting Value out of Big Data

4 hours to complete
11 videos (Total 66 min), 12 readings, 1 quiz
11 videos
Building a Big Data Strategy9m
How does big data science happen?: Five Components of Data Science9m
Asking the Right Questions3m
Steps in the Data Science Process3m
Step 1: Acquiring Data6m
Step 2-A: Exploring Data4m
Step 2-B: Pre-Processing Data8m
Step 3: Analyzing Data8m
Step 4: Communicating Results4m
Step 5: Turning Insights into Action2m
12 readings
Five P's of Data Science10m
Slides: Getting Value Out of Big Data10m
Slides: Building a Big Data Strategy10m
Slides: The Five P's of Data Science10m
Slides: Asking the Right Questions10m
Slides: Steps in the Data Science Process10m
Slides: Step 1 - Acquiring Data10m
Slides: Step 2A-Exploring Data10m
Slides: Step 2B-Preprocessing Data10m
Slides: Step 3-Data Analysis10m
Slides: Step 4-Communicating Results10m
Slides: Step 5-Turning Insights Into Action10m
1 practice exercise
Data Science 10120m
Week
3

Week 3

1 hour to complete

Foundations for Big Data Systems and Programming

1 hour to complete
4 videos (Total 19 min), 4 readings, 1 quiz
4 videos
What is a Distributed File System?6m
Scalable Computing over the Internet4m
Programming Models for Big Data6m
4 readings
Slides: Getting Started-Why Worry About Foundations?10m
Slides: What is a Distributed File System?10m
Slides: Scalable Computing Over the Internet10m
Slides: Programming Models for Big Data10m
1 practice exercise
Foundations for Big Data20m
5 hours to complete

Systems: Getting Started with Hadoop

5 hours to complete
11 videos (Total 66 min), 8 readings, 3 quizzes
11 videos
The Hadoop Ecosystem: Welcome to the zoo!7m
The Hadoop Distributed File System: A Storage System for Big Data7m
YARN: A Resource Manager for Hadoop5m
MapReduce: Simple Programming for Big Results12m
When to Reconsider Hadoop?4m
Cloud Computing: An Important Big Data Enabler6m
Cloud Service Models: An Exploration of Choices4m
Value From Hadoop and Pre-built Hadoop Images3m
Copy your data into the Hadoop Distributed File System (HDFS)4m
Run the WordCount program5m
8 readings
MapReduce in the Pasta Sauce Example10m
Slides for Getting Started With Hadoop10m
Downloading and Installing the Cloudera VM Instructions (Mac)10m
Downloading and Installing the Cloudera VM Instructions (Windows)10m
FAQ10m
Copy your data into the Hadoop Distributed File System (HDFS) Instructions10m
Run the WordCount program Instructions10m
How do I figure out how to run Hadoop MapReduce programs?10m
2 practice exercises
Intro to Hadoop26m
Running Hadoop MapReduce Programs Quiz4m

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About the Big Data Specialization

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. ********* Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data....
Big Data

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:

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    • 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.

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  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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