Statistics for Urban Studies

Spring 2022
#26220

Introduction to Statistics

Anna Golab
Jan 18, 2022 - May 06, 2022
Mo, We
01:00 pm - 01:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
STAT 2 - LAB 107 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 2022
#26219

Introduction to Statistics

Yiyun Gong
Jan 18, 2022 - May 06, 2022
Mo, We
11:00 am - 11:59 am

Instruction Mode: In-Person Instruction

No Open Seats
STAT 2 - LAB 106 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 2022
#26218

Introduction to Statistics

Poorvi Agarwal
Jan 18, 2022 - May 06, 2022
Mo, We
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 2022
#26216

Introduction to Statistics

Yiyun Gong
Jan 18, 2022 - May 06, 2022
Mo, We
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 2022
#26215

Introduction to Statistics

Poorvi Agarwal
Jan 18, 2022 - May 06, 2022
Mo, We
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 2022
#26213

Introduction to Statistics

Zhiyi You
Jan 18, 2022 - May 06, 2022
Mo, We
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 2022
#26211

Introduction to Statistics

Zhiyi You
Jan 18, 2022 - May 06, 2022
Mo, We
08:00 am - 08:59 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 2022
#26210

Introduction to Statistics

Eaman Jahani
Jan 18, 2022 - May 06, 2022
Tu, Th
08:00 am - 09:29 am
Internet/Online

Instruction Mode: Online

Asynchronous Instruction

Time Conflict Enrollment Allowed

No Open 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 2022
#28325

Foundations of Data Science

Jan 18, 2022 - May 06, 2022
12:00 am

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT 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 2022
#27800

Foundations of Data Science

Jan 18, 2022 - May 06, 2022
Fr
12:00 pm - 01:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
STAT C8 - LAB 145 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.