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Big Data - Capstone Project

Big Data,

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.

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Rating 4.4 based on 66 ratings
Length 7 weeks
Starts May 24 (next week)
Cost $89
From University of California San Diego via Coursera
Instructors Ilkay Altintas, Amarnath Gupta
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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What people are saying

very good course

anyway very good course.

This is a very good course in most aspects.

its very good course , here its aggregating all knowledge and information learned in previous courses it's really useful to practice what you've learned in the previous course.

It was wonderful experience while doing this project as hands-on very good course I learned a lot about applying the big data knowledge gained in the previous courses.

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big data

Liked it and continue use the material as reference This is all you can expect from an online course, imho:all the stuff you learned in the courses belonging to the Big Data specialization coming together in hands-on exercises, that not only test your knowledge but also are fun to do and give you a real taste of a Data Scientists work.In the beginning, it´s a bit overwhelming, how many new technologies and programming languages you are introduced to and have to exercise, but it is definitely worth it.

:) Thank you Excellent course, 100% recommend to people want to learn big data fundamentals.

Excellent course for introduction to Big Data.

This course covers some of current software that is used in big data processing such as Splunk, Knime, Spark and Neo4j.

I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11).I did this course to complete my CV in Big Data and better understand the technology.

We can actually take a look in some other methods, when we finalize the course, you can send some bibliography or something else Really disappointed with the Virtual Machine related exercises throughout the whole course, not only the capstone, where literally I have spent more time trying to figure out how to make it work and do not get any error message than actually learning big data.

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capstone project

This has been excellent Learning experience.Instructor and fellow members shared their valuable information during the course of the Learning and Capstone Project phase.

Loved the final Capstone Project.

I strongly recommend this Capstone Project.

This is very helpful project where i have applied all learning through ouot journey of this course.Though it was time consuming but worth to invest time, which benefits to upskill my knowledge The Big Data - Capstone Project is a great course that is very challenging and requires a significant amount of work hours for a big data first-timer.

I had to wait 2 months for the capstone project to start, enough time to make me forget how I dealt with the excessive number of problems in this outdated course.Trivial assignments.

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previous courses

Kevin Murali The project is really helpful to sum up the whole process of the 5 previous courses, but there is a bit problem with the week 4 assignment.

The material was more challenging than previous courses in the specialization and really helped me pull everything together and understand everything a bit better.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Volunteer Big Data Engineer $48k

Data Scientist - Big Data $68k

Big Data and AWS Data Lake $73k

Big Data Developer (Streaming Data) $77k

Big data developer with AWS $78k

Research Scientist Big Data $94k

Big Data Developer Consultant $98k

Big Data Engineer 6 $107k

Big data and ETL specialist $121k

Big Data Specialist $149k

Principal Big Data Architect $180k

Senior Big Data Sales $181k

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Rating 4.4 based on 66 ratings
Length 7 weeks
Starts May 24 (next week)
Cost $89
From University of California San Diego via Coursera
Instructors Ilkay Altintas, Amarnath Gupta
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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