Statistics for Urban Studies

Spring 2025
#22817

Introduction to Statistics

Adhith Pisipati
Jan 21, 2025 - May 09, 2025
Tu, Th
11:00 am - 11:59 am

Instruction Mode: In-Person Instruction

No Open Seats
STAT 2 - LAB 105 Introduction to Statistics more detail
Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Interval estimation. Some standard significance tests.
Spring 2025
#22816

Introduction to Statistics

Maya Freeman
Jan 21, 2025 - May 09, 2025
Tu, Th
10:00 am - 10:59 am

Instruction Mode: In-Person Instruction

No Open Seats
STAT 2 - LAB 104 Introduction to Statistics more detail
Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Interval estimation. Some standard significance tests.
Spring 2025
#22815

Introduction to Statistics

Emily Hou
Jan 21, 2025 - May 09, 2025
Tu, Th
10:00 am - 10:59 am

Instruction Mode: In-Person Instruction

No Open Seats
STAT 2 - LAB 103 Introduction to Statistics more detail
Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Interval estimation. Some standard significance tests.
Spring 2025
#22814

Introduction to Statistics

Emily Hou
Jan 21, 2025 - May 09, 2025
Tu, Th
09:00 am - 09:59 am

Instruction Mode: In-Person Instruction

No Open Seats
STAT 2 - LAB 102 Introduction to Statistics more detail
Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Interval estimation. Some standard significance tests.
Spring 2025
#22813

Introduction to Statistics

Maya Freeman
Jan 21, 2025 - May 09, 2025
Tu, Th
09:00 am - 09:59 am

Instruction Mode: In-Person Instruction

No Open Seats
STAT 2 - LAB 101 Introduction to Statistics more detail
Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Interval estimation. Some standard significance tests.
Spring 2025
#22812

Introduction to Statistics

Adam R Lucas
Jan 21, 2025 - May 09, 2025
12:00 am
Internet/Online

Instruction Mode: Online

Asynchronous Instruction

Open Seats

1 Unreserved Seats

STAT 2 - LEC 001 Introduction to Statistics more detail
Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Interval estimation. Some standard significance tests.
Spring 2025
#24417
DATA C8 999L - LAB 999L offered through Data Science Undergraduate Studies

Foundations of Data Science

Jan 21, 2025 - May 09, 2025
12:00 am

Instruction Mode: In-Person Instruction

Open Seats

3 Unreserved Seats

DATA C8 - LAB 999L Foundations of Data Science more detail
Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Spring 2025
#24416
DATA C8 001 - LEC 001 offered through Data Science Undergraduate Studies

Foundations of Data Science

Jeremy Sanchez
Jan 21, 2025 - May 09, 2025
Mo, We, Fr
11:00 am - 11:59 am

Instruction Mode: In-Person Instruction

Open Seats

DATA C8 - LEC 001 Foundations of Data Science more detail
Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

DATA C8 (2022-01-11 - 2099-12-19)

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks.

DATA C8 (2020-08-19 - 2022-01-11)

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks.