Online Class.
$760 per class
30 students, instructor mentored
10 week class
6-10 hrs per week
100% online, instructor led
or
Certificate Program Online.
$5,975 (estimated)
24 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
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
Data Science Online Classes
Required classes:
- Introduction to Data Science
- 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)
