About this Course
4.4
201 ratings
51 reviews
Specialization

Course 6 of 6 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 19 hours to complete

Suggested: 4 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Big DataNeo4jKnimeSplunk
Specialization

Course 6 of 6 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 19 hours to complete

Suggested: 4 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
1 hour to complete

Simulating Big Data for an Online Game

This week we provide an overview of the Eglence, Inc. Pink Flamingo game, including various aspects of the data which the company has access to about the game and users and what we might be interested in finding out....
Reading
4 videos (Total 18 min), 4 readings
Video4 videos
Welcome from Splunk: Rob Reed World Education Evangelist3m
A Summary of Catch the Pink Flamingo7m
A Conceptual Schema for Catch the Pink Flamingo4m
Reading4 readings
Planning, Preparation, and Review10m
A Game by Eglence Inc. : Catch The Pink Flamingo10m
Overview of the Catch the Pink Flamingo Data Model10m
Overview of Final Project Design5m
Hours to complete
4 hours to complete

Acquiring, Exploring, and Preparing the Data

Next, we begin working with the simulated game data by exploring and preparing the data for ingestion into big data analytics applications....
Reading
6 readings, 2 quizzes
Reading6 readings
Downloading the Game Data and Associated Scripts10m
Understanding the CSV Files Generated by the Scripts20m
Optional Review of Splunk
“Catch the Pink Flamingo” Data Exploration with Splunk45m
Aggregate Calculations Using Splunk45m
Filtering the Data With Splunk20m
Quiz1 practice exercise
Data Exploration With Splunk30m
Week
2
Hours to complete
5 hours to complete

Data Classification with KNIME

This week we do some data classification using KNIME. ...
Reading
4 readings, 1 quiz
Reading4 readings
Review: Classification Using Decision Tree in KNIME10m
Review: Interpreting a Decision Tree in KNIME10m
Workflow Overview for Building a Decision Tree in KNIME20m
Description of combined_data.csv5m
Week
3
Hours to complete
5 hours to complete

Clustering with Spark

This week we do some clustering with Spark. ...
Reading
2 readings, 1 quiz
Reading2 readings
Informing business strategies based on client base5m
Practice with PySpark MLlib Clustering30m
Week
4
Hours to complete
4 hours to complete

Graph Analytics of Simulated Chat Data With Neo4j

This week we apply what we learned from the 'Graph Analytics With Big Data' course to simulated chat data from Catch the Pink Flamingos using Neo4j. We analyze player chat behavior to find ways of improving the game. ...
Reading
2 readings, 1 quiz
Reading2 readings
Understanding the Simulated Chat Data Generated by the Scripts10m
Graph Analytics of Catch the Pink Flamingo Chat Data Using Neo4js
4.4
51 ReviewsChevron Right
Career direction

20%

started a new career after completing these courses
Career Benefit

23%

got a tangible career benefit from this course
Career promotion

12%

got a pay increase or promotion

Top Reviews

By PPNov 14th 2018

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

By DMApr 14th 2018

What a challenge, I came into this course as a London Black Cab Taxi Driver, I thought the knowledge was hard but this capstone was a challenge more intense than the Knowledge of London!!!

Instructors

Avatar

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
Avatar

Amarnath Gupta

Director, Advanced Query Processing Lab
San Diego Supercomputer Center (SDSC)

About University of California San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

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

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.