Professional Program in Data Analysis

90.00 Hours Required

Employment of computer and information research scientists is projected to grow 15 percent from 2019 to 2029.

See if you’re suited to a data analysis career.

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.

Next Steps

Get More Information

Straight to your inbox each month: news and updates in

Your privacy is important to us.

Email Privacy Policy

Your privacy is important to us!

We do not share your information with other organizations for commercial purposes.

We only collect your information if you have subscribed online to receive emails from us.

We do not partner with or have special relationships with any ad server companies.

If you want to unsubscribe, there is a link to do so at the bottom of every email.

Read the full Privacy Policy.

Back to your information.

Courses

Data Analysis Courses

Minimum Required

0 Course(s)

Maximum Allowed

90 Course(s)

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

COMPSCI X407.9 Introduction to Data Analytics

Units / CEUs
2

Delivery Options
Online

Status
Available
EL ENG X480.1 Introduction to R: Data Exploration and Visualization

Units / CEUs
2

Status
Not Available
COMPSCI X433.3 Python for Data Analysis and Scientific Computing

Units / CEUs
2

Status
Not Available
COMPSCI X465 Data Analytics and Visualization

Units / CEUs
2

Status
Not Available
COMPSCI X402.1 Practical Statistics for Data Scientists Using R

Units / CEUs
2

Status
Not Available
COMPSCI X465.1 Data Visualization

Units / CEUs
2

Delivery Options
Online

Status
Available

Data Management Courses

Minimum Required

0 Course(s)

Maximum Allowed

120 Course(s)

COMPSCI X409.1 Introduction to Databases

Units / CEUs
2

Delivery Options
Online

Status
Available
COMPSCI X451.1 Introduction to SQL

Units / CEUs
2

Delivery Options
Online

Status
Available
COMPSCI X407.1 Data Mining Using SQL

Units / CEUs
2

Status
Not Available
COMPSCI X410 Data Warehousing and Business Intelligence

Units / CEUs
2

Status
Not Available

Certificate and Program Policies

Contact Information

To contact the department office, email extension-techeng@berkeley.edu.

Prerequisites

Required

Knowledge of statistics as covered in a first semester undergraduate course. Need to fulfill this prereq? Take:
- Introduction to Statistics STAT X10

Curriculum Requirements

The curriculum comprises 6 semester units. Students may select any 3 of the courses listed to complete the program. Candidates must pay a nonrefundable program registration fee.

To receive the Award of Completion, students must maintain an overall minimum 2.5 grade point average, with a grade of C or better in each course. Students must take all courses for a letter grade. All coursework must be completed within three years.

How to Register

By registering, you declare your intention to complete the curriculum. To register online for the Professional Program in Data Analysis, complete these two steps:

Submit the online registration, and complete your student account profile if you are a new student.
Pay the nonrefundable registration fee through your shopping cart. Please allow 3–5 business days for the registration to appear in your student account.

Estimated Cost

Each course is priced individually, and you pay the course fee at the time of enrollment. The program has an estimated cost of $2,900 (not including course materials or registration fee). Course fees are subject to change.

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 extension-techeng@berkeley.edu. After your records have been reviewed, verified and approved (usually within two to three weeks), your Award of Completion will be mailed to you.

Videos

Advisory Board

June Andrews

Staff data scientist

Pinterest

Ted Dunning

Chief application architect

MapR Technologies

Ali El-Annan

Head of Technology

Pension Fund

Derek Farren

Principal data scientist

@WalmartLabs

Lee Fleming

Faculty Director, Coleman Fung Institute for Engineering Leadership

Coleman Fung Chair in Engineering Leadership

IEOR, College of Engineering

Management of Organizations, Haas School of Business

Gregory P. La Blanc

Faculty director, instructor

UC Berkeley Center for Executive Education

Lecturer and chair of professional faculty

UC Berkeley Haas School of Business

Elijah Meeks

CIO

Notable

Ofer Mendelevitch

Co-founder and CTO

Syntegra

Allan Miller

Freelance data scientist, quantitative analyst, R programmer

Instructor, UC Berkeley Extension

John Mount

Principal consultant

Win-Vector LLC

Kiran Patchigolla

Turms.AI

Founder

Reena Tiwari

CIO and VP

Servicetitan Inc.