About this Course

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Learner Career Outcomes

21%

started a new career after completing these courses

29%

got a tangible career benefit from this course

14%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 6 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 21 hours to complete
English

Skills you will gain

Big DataNeo4jKnimeSplunk

Learner Career Outcomes

21%

started a new career after completing these courses

29%

got a tangible career benefit from this course

14%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 6 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 21 hours to complete
English

Offered by

Placeholder

University of California San Diego

Syllabus - What you will learn from this course

Week
1

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 videos
Welcome from Splunk: Rob Reed World Education Evangelist3m
A Summary of Catch the Pink Flamingo7m
A Conceptual Schema for Catch the Pink Flamingo4m
4 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
4 hours to complete

Acquiring, Exploring, and Preparing the Data

4 hours to complete
6 readings
6 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
1 practice exercise
Data Exploration With Splunk30m
Week
2

Week 2

5 hours to complete

Data Classification with KNIME

5 hours to complete
4 readings
4 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

Week 3

5 hours to complete

Clustering with Spark

5 hours to complete
2 readings
2 readings
Informing business strategies based on client base5m
Practice with PySpark MLlib Clustering30m
Week
4

Week 4

3 hours to complete

Graph Analytics of Simulated Chat Data With Neo4j

3 hours to complete
2 readings
2 readings
Understanding the Simulated Chat Data Generated by the Scripts10m
Graph Analytics of Catch the Pink Flamingo Chat Data Using Neo4j2h

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About the Big Data Specialization

Big Data

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