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  • Berkeley Global

Introduction to Data Analytics

COMPSCI X407.9

17484859
Delivery Options Online

Get an introductory overview of data analytics. Learn to formulate and apply descriptive, predictive, and prescriptive analytics to guide decision making in various industries. Learn through lectures and hands-on practice using spreadsheet skills, SQL, and programming with models in regression analysis, cluster analysis, linear programming, and more. Throughout the course, you learn and practice thinking critically with data and generating actionable insights. This course is ideal for beginners to learn the foundations of data analytics.

Prerequisites:

  • Knowledge of basic statistics as typically covered in an undergraduate level course.
    • Optional courses that meet this prerequisite: Introduction to Statistics (STAT X10) OR Math for Management (MATH X402)
  • Proficiency with spreadsheets such as Microsoft Excel or Google Sheets

Learner Outcomes

After successfully completing this course, you will be able to:

  • Apply descriptive, predictive, and prescriptive analytics
  • Gain practice in MS Excel, SQL, and programming for analysis
  • Perform basic regression analysis, cluster analysis, and linear programming
  • Apply data analytics techniques toward a range of different cases
  • Execute critical thinking toward problem solving
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Sections

Section 033

Start Anytime

Type: Online, Start Anytime

Instructor:

  • Stephan Sorger

Cost: $995.00

See section 033 Details

Type Online, Start Anytime

Dates
Start Now, you have 180 days to complete this course once enrolled.

Delivery Options

Online

Available for Credit

2 semester units

Section Notes

Online, enroll anytime. This continuous enrollment course begins when you enroll. You have a minimum of 60 days and a maximum of 180 days to complete the course. 

Section Materials

  • (Mandatory)

    Data Analytics: Essential Tools and Techniques by Stephan Sorger

    © 2025 ISBN 979-8289510488 Amazon

Fall 2025 enrollment opens on June 16!

This course applies to the following programs:

Professional Program in Data Analysis

Expand or collapse section

SQL and Databases

  • Introduction to SQL
  • Introduction to Databases
  • Data Mining Using SQL
  • Data Warehousing and Business Intelligence

Visualization

  • Data Visualization

Analytics

  • Introduction to Data Analytics
  • Python for Data Analysis
  • R for Data Analysis

Data Analytics Capstone

  • Data Analytics Capstone

Learn More About This Program

Notes

Departmental contact: extension-techeng@berkeley.edu

Instructional Types

Live Online
Live Online courses provide an interactive learning experience with scheduled synchronous online sessions held via Zoom video conferencing (Pacific Time). Learn more about the Live Online format.
Online, Start Anytime
Continuous enrollment course begins when you enroll. You have a minimum of 90 days and a maximum of 180 days to complete the course.
Online, Fixed Date
Enroll in this course by its start date and complete it by its specified end date. There are no live sessions, but plenty of opportunities to collaborate with your classmates and instructor.
Classroom
Take classes in-person at one of our buildings or partner locations.

English Language Proficiency Requirements

All of our courses are taught in English. If English is not your first language, please use the following test scores as guides in order to be successful:

  • TOEFL: 90
  • IELTS Academic Format: 7
  • DAAD: C1
  • TEM-4 or TEM-8: Level 70
  • Duolingo: 125

Note: You do not need to submit test scores.

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Course Fee

Stephan Sorger

Stephan Sorger, DBA, MBA, M.S., PE, Extension Honored Instructor, is a serial marketing executive, instructor and author. He is the vice president of strategic marketing at the consulting firm On Demand Advisors. Previously, he held leadership roles in marketing and product development at companies such as Oracle, 3Com and NASA. Since 2003, he has taught marketing courses at UC Berkeley Extension. He also has developed two textbooks, Marketing Analytics: Strategic Models and Metrics and Marketing Planning: Where Strategy Meets Action. Find sample course materials here.

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