Data Science and Data Analytics
Issued by
UCSC Silicon Valley Extension
Individuals have learned to apply the principles of data science in solving problems centered around Big Data. They have gained the skills to obtain, manipulate, analyze, and visualize volumes of data that drive many fields (e.g. business and innovation, bioinformatics, weather forecasting, healthcare and others); and they are adept at applying and using appropriate data models in solving real world problems.
- Type Learning
- Level Advanced
- Time Months
- Cost Paid
Skills
- Algorithms
- Big Data
- Data Analysis
- Data Analytics
- Database Creation
- Database Design
- Database Management
- Data Engineering
- Data Mining
- Data Modeling
- Data Science
- Estimation
- Forecasting
- Formatting
- Innovation
- Machine Learning
- Regression
- Relational Database Design
- Relational Databases
- Restriction
- Simulation
- SQL
- SQL (Programming Language)
Earning Criteria
-
Completed the required Big Data: Overview, Tools and Use Cases course, and at least one of the following core courses: Data Analysis, Introduction or Relational Database Design and SQL Programming; as well as at least four electives in the following tracks: Data Analysis, Data Science, or Data Engineering. Earned 16 units. Met all requirements for a UCSC Silicon Valley Certificate in Data Science and Data Analytics.