Professional Program in Data Analysis

Gain the skills to collect, process, analyze and interpret data to develop actionable insights. Learn how to leverage machine learning, statistics, data mining, and big data to develop new strategies in marketing, retail, health care, finance, and other fields.

Curriculum Requirements

The curriculum comprises 3 courses for a total of 6-semester units (90 hours of instruction). You may select any 3 of the courses listed to complete the program. Candidates must pay a nonrefundable specialized program of the study registration fee.

You must take all courses for a letter grade. To receive the Award of Completion, you must maintain an overall minimum 2.5-grade point average, with a grade of C or better (no C-minus grades) in each course. All coursework must be completed within three years.

Certificate and Award Request

Once you have completed the program coursework, notify UC Berkeley Extension that you have completed the curriculum and request your Award of Completion. Send an email to [email protected]. After your records have been reviewed, verified, and approved (usually within two to three weeks), your Award of Completion will be mailed to you.

Courses

Data Analysis Courses

Students who are new to data analysis should begin with Introduction to Data Analytics COMPSCI X407.9.

• Introduction to Data Analytics
• Introduction to R: Data Exploration and Visualization
• Python for Data Analysis and Scientific Computing
• Data Analytics and Visualization
• Practical Statistics for Data Scientists Using R

Data Management Courses

• Introduction to Databases
• Introduction to SQL
• Business Intelligence With SQL Server
• Data Mining Using SQL

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