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Introduction to Data Science

SML 201

1252
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Introduction to Data Science provides a practical introduction to the burgeoning field of data science. The course introduces students to the essential tools for conducting data-driven research, including the fundamentals of programming techniques and the essentials of statistics. Students will work with real-world datasets from various domains; write computer code to manipulate, explore, and analyze data; use basic techniques from statistics and machine learning to analyze data; learn to draw conclusions using sound statistical reasoning; and produce scientific reports. No prior knowledge of programming or statistics is required.
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Section L01

Section L02

Section P01

Section P02

Section P03

Section P04

Section P05

Section P06

Section P07

  • Type: Precept
  • Section: P07
  • Status: C
  • Enrollment: 0
  • Capacity: 0
  • Class Number: 21187
  • Schedule: Th 01:30 PM-02:50 PM

Section P08

Section P09

  • Type: Precept
  • Section: P09
  • Status: C
  • Enrollment: 0
  • Capacity: 0
  • Class Number: 21189
  • Schedule: F 11:00 AM-12:20 PM

Section P10

Section P11

  • Type: Precept
  • Section: P11
  • Status: C
  • Enrollment: 0
  • Capacity: 0
  • Class Number: 21192
  • Schedule: Th 01:30 PM-02:50 PM

Section P12

Section P13

Section P14

  • Type: Precept
  • Section: P14
  • Status: C
  • Enrollment: 0
  • Capacity: 0
  • Class Number: 21196
  • Schedule: T 07:30 PM-08:50 PM

Section P15

Section P16

Section P99

  • Type: Precept
  • Section: P99
  • Status: C
  • Enrollment: 0
  • Capacity: 0
  • Class Number: 21193