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This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...
In this integrated introduction to the natural sciences, students learn the fundamentals of physics, chemistry and biology while developing facility with mathematical models.
Guidelines for Introductory Course Selection Note that introductory computer science classes regularly fill to capacity, and registration priority is given to first years. You are encouraged to take ...
I’m intrigued. Introduction to Statistical Reasoning is a basic intro stats course that will also count towards that requirement. Both of these classes fulfill the Thinking Quantitatively and ...
When Yale joined forces with Harvard for a new introduction to computer science course this fall, it was an unprecedented move — but one both students and faculty members say is paying off.
Computer Science 50 led course enrollment numbers with 724 undergraduates, according to data from the Faculty of Arts and Sciences registrar’s office Thursday.
For the first time since Berkeley started digitizing enrollment records in 1993, there are more women than men in an undergraduate introductory computer science course: 106 women, 104 men. That ...
Algorithms are the sets of steps necessary to complete computation.
The intro class in computer science is adequate at introducing students to the major, but it’s more for laying foundations than showing students the interesting side of computer science. If you showed ...
Women are seriously underrepresented in the world of computer science. But in small ways, things are beginning to move in the right direction. At the University of California, Berkeley — a ...
Finally, a major advantage for science students at small colleges is the greater presence of the liberal arts. This may seem like a strange thing for me to say, as my comments about bad defenses ...
Data science classes and bootcamps in NYC offer the perfect opportunity to master essential data science skills like Python programming, machine learning, and data analysis.