Statistics for Urban Studies

2021 Fall
#30967
DATA C131A 001 - LEC 001 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Shobhana Murali Stoyanov
Aug 25, 2021 - Dec 10, 2021
Mo, We, Fr
10:00 am - 10:59 am

Instruction Mode: In-Person Instruction

No Open Seats
DATA C131A - LEC 001 Statistical Methods for Data Science more detail
This course teaches a broad range of statistical methods that are used to solve data problems. Topics include group comparisons and ANOVA, standard parametric statistical models, multivariate data visualization, multiple linear regression, logistic regression and classification, regression trees and random forests. An important focus of the course is on statistical computing and reproducible statistical analysis. The course and lab include hands-on experience in analyzing real world data from the social, life, and physical sciences. The R statistical language is used.
2021 Fall
#26223

Foundations of Data Science

Aug 25, 2021 - Dec 10, 2021
12:00 am

Instruction Mode: In-Person Instruction

No Open Seats
COMPSCI 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.
2021 Fall
#26222

Foundations of Data Science

Ani Adhikari, David Wagner
Aug 25, 2021 - Dec 10, 2021
Mo, We, Fr
10:00 am - 10:59 am
Internet/Online

Instruction Mode: Pending Review

No Open Seats
COMPSCI 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.
Spring 2021
#27031

Foundations of Data Science

Jan 19, 2021 - May 07, 2021
12:00 am
Internet/Online

Instruction Mode: Pending Review

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 2021
#26006

Foundations of Data Science

Jan 19, 2021 - May 07, 2021
Fr
12:00 pm - 01:59 pm

Instruction Mode: Pending Review

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.
Spring 2021
#26005

Foundations of Data Science

Jan 19, 2021 - May 07, 2021
Fr
12:00 pm - 01:59 pm

Instruction Mode: Pending Review

No Open Seats
STAT C8 - LAB 144 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 2021
#26004

Foundations of Data Science

Jan 19, 2021 - May 07, 2021
Fr
02:00 pm - 03:59 pm

Instruction Mode: Pending Review

No Open Seats
STAT C8 - LAB 143 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 2021
#25885

Foundations of Data Science

Jan 19, 2021 - May 07, 2021
Fr
12:00 pm - 01:59 pm

Instruction Mode: Pending Review

No Open Seats
STAT C8 - LAB 142 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 2021
#25884

Foundations of Data Science

Jan 19, 2021 - May 07, 2021
Fr
02:00 pm - 03:59 pm

Instruction Mode: Pending Review

No Open Seats
STAT C8 - LAB 141 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 2021
#25883

Foundations of Data Science

Jan 19, 2021 - May 07, 2021
Fr
12:00 pm - 01:59 pm

Instruction Mode: Pending Review

No Open Seats
STAT C8 - LAB 140 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.