About STAT 1870 A

Basic techniques of data harvesting and cleaning; association rules, classification, clustering; analyze, manipulate, visualize data using programming languages. Basic principles of probability and statistical modeling/inference to make meaning out of large datasets. Credit not awarded after STAT 3000 or greater. Cross-listed with: CS 1870.

Notes

Cross listed with CS 1870 A; Total combined enrollment: 45; Open to Degree and PACE students

Section Description

This course is an introduction to the field of Data Science for students with no experience in computer coding and statistics.

Section Expectation

In this course, you will learn to: • Analyze and manipulate data with the computer language, R • Understand the basic principles of probability and statistical modeling • Enable you to make meaning out of large data sets • Make better-informed decisions in business, research, and life.

Evaluation

Students are assessed using Homework, Quizzes, and exams

Important Dates

Note: These dates may change before registration begins.

Note: These dates may not be accurate for select courses during the Summer Session.

Courses may be cancelled due to low enrollment. Show your interest by enrolling.

Deadlines
Last Day to Add
Last Day to Drop
Last Day to Withdraw with 50% Refund
Last Day to Withdraw with 25% Refund
Last Day to Withdraw

Resources

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