Statistics for Urban Studies

Spring 2023
#25831

Statistical Methods for Data Science

Elizabeth Purdom
Jan 17, 2023 - May 05, 2023
Mo, We, Fr
02:00 pm - 02:59 pm
Social Sciences Building 170

Instruction Mode: In-Person Instruction

No Open Seats
STAT 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.
Spring 2023
#25844
DATA C131A 102 - LAB 102 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Saqib Mumtaz Choudhary
Jan 17, 2023 - May 05, 2023
Mo, We
03:00 pm - 03:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
DATA C131A - LAB 102 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.
Spring 2023
#25843
DATA C131A 101 - LAB 101 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Saqib Mumtaz Choudhary
Jan 17, 2023 - May 05, 2023
Mo, We
10:00 am - 10:59 am

Instruction Mode: In-Person Instruction

No Open Seats
DATA C131A - LAB 101 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.
Spring 2023
#25841
DATA C131A 001 - LEC 001 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Elizabeth Purdom
Jan 17, 2023 - May 05, 2023
Mo, We, Fr
02:00 pm - 02:59 pm
Social Sciences Building 170

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.
2022 Fall
#24963

Foundations of Data Science

Aug 24, 2022 - Dec 09, 2022
12:00 am

Instruction Mode: In-Person Instruction

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.
2022 Fall
#24962

Foundations of Data Science

Swupnil K Sahai, John DeNero
Aug 24, 2022 - Dec 09, 2022
Mo, We, Fr
02:00 pm - 02:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
STAT 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.
2022 Fall
#25656

Statistical Methods for Data Science

Jeremy Goldwasser
Aug 24, 2022 - Dec 09, 2022
Mo, We
03:00 pm - 03:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
STAT C131A - LAB 102 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.
2022 Fall
#25655

Statistical Methods for Data Science

Jeremy Goldwasser
Aug 24, 2022 - Dec 09, 2022
Mo, We
11:00 am - 11:59 am

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

STAT C131A - LAB 101 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.
2022 Fall
#25654

Statistical Methods for Data Science

Shobhana Murali Stoyanov
Aug 24, 2022 - Dec 09, 2022
Tu, Th
11:00 am - 12:29 pm
Social Sciences Building 20

Instruction Mode: In-Person Instruction

No Open Seats
STAT 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.
2022 Fall
#32695
DATA C8 999L - LAB 999L offered through Data Science Undergraduate Studies

Foundations of Data Science

Aug 24, 2022 - Dec 09, 2022
12:00 am

Instruction Mode: In-Person Instruction

No Open 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.