Database and Data Analytics
Certificate Program

Database and Data Analytics

Data for impact

Enroll in Certificate View Individual Courses

Certificate Description

Data-driven business. Understand, manage, and analyze the data that is driving business and innovation. We offer database training and data analytics course sequences to prepare you for a career in big data or database management. Work with algorithms, tools, frameworks, and best practices in managing big data and performing data mining. Here’s where the data analyst, data scientist or data engineers find their secret powers to soar through today’s data explosion and discover valuable business intelligence.


Required Credits: Total Required: 5–7 courses/14 units. Take 1 required course (3 units) and 4–6 elective credit courses (11 units). End with certificate of completion review.
Duration: A full-time student can complete the certificate in 9–12 months.

Courses

Course Units Fall Winter Spring Summer
1. CORE COURSES (Choose one)
Data Analysis, Introduction 3.0
Relational Database Design and SQL Programming 3.0
2. ELECTIVE COURSES: DATA ANALYSIS
Big Data: Overview, Tools and Use Cases 3.0
Business Intelligence Solutions 2.0
Dashboards and Data Visualization 3.0
Data Analysis, Introduction 3.0
Data Modeling, Introduction 2.0
MySQL and Oracle Database for Developers and Designers 2.0
NoSQL Databases, Introduction 3.0
Python for Data Analysis 3.0
Relational Database Design and SQL Programming 3.0
3. ELECTIVE COURSES: DATA SCIENCE
AI-Led Enterprise Transformation: Technologies and Use Cases 0.5
Big Data: Overview, Tools and Use Cases 3.0
Deep Learning and Artificial Intelligence with Keras 3.0
Deep Learning and Artificial Intelligence with TensorFlow 3.0
Introduction to Machine Learning and Data Mining 3.0
Predictive Analytics: Applications of Machine Learning 3.0
4. ELECTIVE COURSES: DATA ENGINEERING
Apache Spark with Scala, Introduction 3.0
Big Data: Overview, Tools and Use Cases 3.0
Designing Big Data Applications - Foundations 3.0
Designing, Building and Integrating RESTful API 2.0
LAMP: Linux Based Web Application Development – Apache, MySQL, PHP 3.0
The Internet of Things: Big Data Processing and Analytics 3.0
5. ELECTIVE COURSES: RELATED ELECTIVES
Java Programming, Comprehensive 3.0
Java Programming for Beginners 2.0
Python for Programmers 3.0
Python Programming for Beginners 1.5
XML Essentials 2.0
6. REQUIRED CERTIFICATE REVIEW
Database and Data Analytics Certificate Completion Fee None

Requisite Knowledge

Please review the course descriptions to ensure that you have taken necessary prerequisites or meet the requirements through job experience or previous education.

Program Chair

Hein Luu, chair

Certificate Program Chair

HIEN LUU, M.S, an engineering manager at LinkedIn, has over 20 years’ experience designing and developing scalable web applications and big data infrastructure and applications at Silicon Valley companies, such as Uber, Netflix, and Yahoo. He specializes in big data technologies and machine learning and is an artificial intelligence enthusiast. He has a bachelor’s degree in Electrical Engineering from the University of Washington and a master’s degree in Software Engineering from San Jose State University. He has taught for UCSC Extension since 2003. 

Certificate Program Advisory Committee

ASHISH GUPTA
Senior Staff Engineer
LinkedIn

CHING-FONG "CF" SU
Director of Engineering, Machine Learning
Quora

HIEN LUU, M.S,
Engineering Manager, LinkedIn,

RAQUEL PRADO
Professor of Statistics
University of California, Santa Cruz

ARMEN PISCHDOTCHIAN
Academic Mentor
IBM Watson Solutions

Certificate Inquiry Form

Contact Us
Speak to a student services representative.

Call (408) 861-3860

Envelope extension@ucsc.edu

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