Online Class.

noun_1697458_cc$760 per class

noun_553913_cc.png30 students, instructor mentored

noun_1698556_cc10 week class

noun_1474611_cc6-10 hrs per week

noun_985270_cc100% online, instructor led

or

Certificate Program Online.

noun_1697458_cc$5,975 (estimated)

noun_1698556_cc24 weeks part-time

Learn how to

  • Utilize statistical and computer science tools and techniques to analyze data
  • Describe and use the tools and technologies required to model and analyze large (big) data-sets
  • Explain the use of tools to explore data (R, STATISTICA, Hadoop, etc.)
  • Utilize an inquisitive “hacker” mentality to uncover new meaning from existing data
  • Effectively design, model and manage databases
  • Describe and utilize unstructured and structured data sets leveraging text analytics tools
  • Define requirements, develop an architecture, and implement a data warehouse plan

Request Syllabus

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Become a Master in

  • Collecting and managing big data sets
  • Data-driven discovery processes
  • Data prediction and value extraction
  • Competitive intelligence tools and techniques
  • Predictive analytics tools
  • Scalable data engineering (inspecting, cleaning, transforming, and modeling data)
  • Unstructured data and NoSQL report building
  • Computational statistics knowledge
  • Pattern recognition awareness
  • Machine learning techniques
  • Data visualization methods
  • High performance software and hardware
  • Cloud based data technologies

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Data Science Online Classes

Required classes:

  1. Introduction to Data Science
  2. Data Exploration, Analytics and Visualization

Elective classes: 

  • Math Review for Data Science and Analytics
  • Business Intelligence and Data Warehouse
  • Hadoop: Theory and Practice
  • Introduction to Big Data
  • Big Data Analytics
  • Effective Data Preparation
  • Introduction to Predictive Analytics
  • Introduction to Programming with Phython
  • Introduction to Python for Data Analysis
  • Designing Relational Databases
  • Data Modeling
  • Data Management
  • Java Programming
  • Tools and Techniques for Machine Learning
  • R Programming
  • Object-Orientated Analysis and Design
  • Cloud Computing Platform as a Service (PaaS)

Talk to an Academic Adviser

Julie Pai 
(949) 824-3413
julie.pai@uci.edu

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