Big Data - Capstone Project
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...
By Ilkay Altintas on Coursera
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does Big Data - Capstone Project cost?
Visit the Big Data - Capstone Project course page for current pricing and available discounts.
Who teaches Big Data - Capstone Project?
Big Data - Capstone Project is taught by Ilkay Altintas, University of California San Diego.
What skill level is Big Data - Capstone Project for?
This course is designed for advanced learners.
Similar Courses
TensorFlow: Advanced Techniques
DeepLearning.AI
Microsoft Azure AI Fundamentals AI-900 Exam Prep
Microsoft
Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau
Packt
Data Literacy: Exploring and Visualizing Data
SAS