This course is part of the Big Data Specialization

4.4
stars
389 ratings

Ilkay Altintas +1 more instructor

15,087 already enrolled

Offered By

Big Data SpecializationUniversity of California San Diego

About this Course

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Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. You will analyze a data set simulating big data generated from a large number of users who are playing our imaginary game "Catch the Pink Flamingo". During the five week Capstone Project, you will walk through the typical big data science steps for acquiring, exploring, preparing, analyzing, and reporting. In the first two weeks, we will introduce you to the data set and guide you through some exploratory analysis using tools such as Splunk and Open Office. Then we will move into more challenging big data problems requiring the more advanced tools you have learned including KNIME, Spark's MLLib and Gephi. Finally, during the fifth and final week, we will show you how to bring it all together to create engaging and compelling reports and slide presentations. As a result of our collaboration with Splunk, a software company focus on analyzing machine-generated big data, learners with the top projects will be eligible to present to Splunk and meet Splunk recruiters and engineering leadership.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Course 6 of 6 in the

Big Data Specialization

Approx. 20 hours to complete

English

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Skills you will gain

Big Data
Neo4j
Knime
Splunk

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 6 of 6 in the

Big Data Specialization

Approx. 20 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.75/5 (21 Ratings)

Ilkay Altintas

Chief Data Science Officer

San Diego Supercomputer Center

459,853 Learners

13 Courses

Amarnath Gupta

Director, Advanced Query Processing Lab

San Diego Supercomputer Center (SDSC)

435,094 Learners

9 Courses

Offered by

University of California San Diego

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Syllabus - What you will learn from this course

Week1

Week 1

1 hour to complete

Simulating Big Data for an Online Game

1 hour to complete

4 videos (Total 18 min), 4 readings

4 hours to complete

Acquiring, Exploring, and Preparing the Data

4 hours to complete

6 readings

Week2

Week 2

5 hours to complete

Data Classification with KNIME

5 hours to complete

4 readings

Week3

Week 3

5 hours to complete

Clustering with Spark

5 hours to complete

2 readings

Week4

Week 4

3 hours to complete

Graph Analytics of Simulated Chat Data With Neo4j

3 hours to complete

2 readings

Reviews

4.4

99 reviews

5 stars
66.06%
4 stars
21.85%
3 stars
5.91%
2 stars
1.79%
1 star
4.37%

TOP REVIEWS FROM BIG DATA - CAPSTONE PROJECT

by AVAug 6, 2017

Best course for integrating all the concepts learned during specialization.

Thanks Coursera Team and UC, San Diego.

by NGJan 21, 2018

Excellent course, 100% recommend to people want to learn big data fundamentals.

by STJul 11, 2020

Good exercise to cover the whole essence of many weeks of other courses of the Big Data Specialization.

by KSNov 21, 2018

Thank you Coursera and instructors for creating this course. The structure is very good. Looking forward for completing other specializations too. Thank you!!

View all reviews

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Big Data - Capstone Project

About this Course

Skills you will gain