CSCI180 — Introduction to Data Science
CSCI 180 - Introduction to Data Science CSCI 180 - Introduction to Data Science 5 Credits Introduction to Data Science is a survey course designed to equip students with fundamental skills in data science. The curriculum encompasses key components such as data integrity, suitability, and cleaning, along with techniques for summarizing and visualizing data. Additionally, the course introduces basic concepts of statistical inference and machine learning. Students gain hands-on experience through labs and applications. 0 Placement Eligibility Math 91 or higher Fees Academic Technology Fee Quarters Typically ummer Fall Day Winter Day Spring Day Designed to Serve Students wanting to gain knowledge of data science relevant to the program of study, including students in data-adjacent fields. Active Date 20250521T14:44:03 Grading Basis Decimal Grade Class Limit 24 Lecture 55 Total Degree Distributions: AA Science ProfTech Related Instruction BAS Course Outline Introduction to data Data integrity and credibility Introduction to descriptive statistics and exploratory data analysis Data visualization techniques Trend lines and confidence intervals Hypothesis testing, regression, and simulations Introduction to Machine Learning Machine Learning methods Data Science ethics Student Learning
Prerequisites: MATH81