Program Overview

Data Science Fundamentals

Course Description

Designed for students with limited programming, statistics, or data analytics knowledge, this data science overview course is ideal for beginners, business analysts, or non-tech managers interested in the field.

Course Details

• Duration: As few as 11 weeks
• Units: 4.0
• Current Formats: Online, In Person
• Cost: Starting at $1,100.00

What You Can Learn

• Understand the principles of statistics, programming, and algorithms used in data science
• Apply statistical methods to solve basic data analysis problems
• Get an introduction to statistical analysis tools, such as Excel
• Practice data analysis using Microsoft Excel and Python programming language

About This Course

In this hands-on, exercise-driven course, students will learn the role of data science in decision-making, basic statistics, entry-level Python programming, and data analysis, using tools such as Excel and Python. Designed for beginners, business analysts, and non-technical managers, the curriculum includes problem-solving exercises using pencils, paper, and laptops for assignments during and outside of the class.

Prerequisites

There are no pre-requisites, however, we recommend taking COM SCI X 414.20 Fundamentals of Software Development and Programming before enrolling in Data Science Fundamentals.

Spring 2026 Schedule

• Date: April 1 - June 10
• Time: Wednesday 6:00PM - 9:00PM PT
• Instructor: John Oh
• Format: In Person
• Fee: $1,100.00
• Location: UCLA, School of Public Affairs Bldg. 1337

Summer 2026 Schedule

• Date: June 24 - September 2
• Time: Wednesday 6:00PM - 9:00PM PT
• Instructor: John Oh
• Format: In Person
• Fee: $1,100.00
• Location: UCLA, School of Public Affairs Bldg. 1337

Online Offering

• Date: March 30 - June 8 (Spring) and June 22 - August 31 (Summer)
• Instructor: Alfonso Berumen
• Format: Online
• Fee: $1,100.00

Course Requirements

Internet access is required to retrieve course materials.

Applicable Programs

Data Science Certificate

Learn to leverage the power of big data to extract insights and improve decision making for real-world problems. Gain hands-on experience in data management and visualization, machine learning, statistical models, and more for a career in data science.

Quantitative Financial Analytics Certificate

Develop a deeper understanding of how to analyze and interpret financial data, using industry-leading tools to create advanced analysis modeling. Learn how to build a better business model or financial forecast, turning key metrics into bottom-line results. Formats: Online | In-Person