Intro DS Syllabi at 2-year Colleges
A list of introductory data science syllabi from 2-year colleges in the U.S.
Introduction to Data Science | University of Stavanger
In this course, students become familiar with basic tools and processes used in Data Science.
Open Access Data Science Resource by Data Science Discovery at the University of Illinois
Data Science Discovery is an open-access data science resource created by The University of Illinois and used as the basis for STAT/CS/IS 107: Data Science Discovery and several other courses.
Columbia | Foundations of Data Science: Syllabus
Example syllabus for an introductory data science course at Columbia University.
Delta College MTH 225 - Introduction to Data Science - Modern Campus Catalog™
An overview of the data, questions, techniques, and tools that data analysts and data scientists use.
Data Science (DS) 210 | Johnson County Community College Catalog
The introductory course gives an overview of the data, questions, techniques and tools that data analysts and data scientists work with.
Undergrad Intro DS Syllabi
A list of undergraduate, introductory data science syllabi
C S 8A: INTRODUCTION TO DATA SCIENCE Foothill College
An introduction to the fundamental concepts and computational skills needed to understand and analyze data arising from real-world phenomena.
Smith Syllabus SDS 192: Interterm 2021
An introduction to data science using Python, R, and SQL. Students will learn how to scrape, process, and clean data from the web; manipulate data in a variety of formats; contextualize variation in data; construct point and interval estimates using resampling techniques; visualize multidimensional data; design accurate, clear, and appropriate data graphics; create data maps and perform basic spatial analysis; and query large relational databases. No prerequisites, but a willingness to write code is necessary.
Introduction to Data Science Graduate Certificate: Loyola University Chicago
This 3-course certificate introduces students to the key elements of Data Science: Python programming, SQL & database design, data processing, and analysis & visualization.
INFO 2950 - Syllabus | Cornell
This is an applied introductory course for learners who wish to harness growing digital and computational resources.
Syllabus — Foundations of Data Science (2023) | CUNY
This course introduces the fundamental concepts and computational techniques of data science to all students, including those majoring in the Arts, Humanities, and Social Sciences
ECE 4803: Mathematical Foundations of Data Science (2020) | Georgia Tech
This course is an introduction to the mathematical foundations of data science and machine learning.
Syllabus | Introduction to Data Science | LSU
This course will provide an introduction to data science by covering data science tools (e.g., command line, Git, etc.), basic to intermediate R programming, data management, data manipulation, data visualization, basic statistical models, and reproducible workflows to generate reports.
MIT OpenCourseWare Syllabus | Introduction to Computational Thinking and Data Science | Electrical Engineering and Computer Science
This course aims to provide students with an understanding of the role computation can play in solving problems.
Princeton ORF 525: Statistical Foundations of Data Science
This course gives an in-depth introduction to statistics and machine learning theory, methods, and algorithms for data science.
Intro to Data Science Syllabus | UC San Diego
This course aims to teach you how to draw conclusions about data. We will learn how to explore data and make predictions using data.
STAT 107 (Spring 2022): Data Science Discovery at The University of Illinois
This website is an archive of the Spring 2022 semester of STAT 107: Data Science Discovery.
CSE 180 Intro to Data Science, Spring 2019 - Syllabus | University of Washington
This course will give you an introduction to the conceptual knowledge and practical training for doing data science in this environment.
Washington State University | Intro to Data Science (2015)
This course will introduce students to this rapidly growing field and equip them with some of its basic principles and tools as well as its general mindset. Students will learn concepts, techniques and tools they need to deal with various facets of data science practice, including data collection and integration, exploratory data analysis, predictive modeling, descriptive modeling, data product creation, evaluation, and effective communication.
Syllabus | Intro to Data Science | William & Mary (2021)
University of Zurich | Department of Informatics | Foundations of Data Science (Graduate)
The target groups for this course are the MSc students (with major or minor in data science, or studying computer science) and PhD students across the university.
DSCI 101 : Foundations of Data Science I | Oregon University School of Computer and Data Sciences
DSCI 101 is an introductory course intended to provide students with an understanding of fundamental concepts in data science. This is the first of two foundational courses, the next course in the series is DSCI 102.
International Data Science in Schools Project
An international collaborative project to develop a curriculum for introductory data science courses
UVA DS1001: Repo for Foundations of Data Science
Foundations of Data Science at the University of Virginia
15.1 Introduction to data science | OpenStax
This free textbook is an OpenStax resource written to increase student access to high-quality, peer-reviewed learning materials.
DSC 10 | Principles of Data Science at UCSD
This course aims to teach you how to draw conclusions about data. We will learn how to explore data and make predictions using data.
STA 199 - Introduction to Data Science | Mine Çetinkaya-Rundel
Learn to explore, visualize, and analyze data to understand natural phenomena, investigate patterns, model outcomes, and make predictions, and do so in a reproducible and shareable manner.
Introduction to Data Science Curriculum | UCLA
Introduction to Data Science (IDS) Curriculum teaches students to reason with, and think critically about, data in all forms.
Introduction to Data Science | UC Berkeley
2014 Computer Science - This course will attempt to articulate the expected output of Data Scientists and then equip the students with the ability to deliver against these expectations.