Statistics for Urban Studies

2023 Fall
#25239
DATA C131A 101 - LAB 101 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Neo Yin
Aug 23, 2023 - Dec 08, 2023
Tu, Th
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.
2023 Fall
#25238
DATA C131A 001 - LEC 001 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Jeremy Sanchez
Aug 23, 2023 - Dec 08, 2023
Mo, We, Fr
02:00 pm - 02:59 pm

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.
2024 Fall
#24923

Statistical Methods for Data Science

Van Hovenga
Aug 28, 2024 - Dec 13, 2024
Tu, Th
04:00 pm - 04:59 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.
2024 Fall
#24922

Statistical Methods for Data Science

Van Hovenga
Aug 28, 2024 - Dec 13, 2024
Tu, Th
11:00 am - 11:59 am

Instruction Mode: In-Person Instruction

No Open 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.
2024 Fall
#24921

Statistical Methods for Data Science

Joshua Grossman
Aug 28, 2024 - Dec 13, 2024
Mo, We, Fr
02:00 pm - 02:59 pm

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.
2024 Fall
#24960
DATA C131A 102 - LAB 102 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Van Hovenga
Aug 28, 2024 - Dec 13, 2024
Tu, Th
04:00 pm - 04:59 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.
2024 Fall
#24959
DATA C131A 101 - LAB 101 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Van Hovenga
Aug 28, 2024 - Dec 13, 2024
Tu, Th
11:00 am - 11:59 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.
2024 Fall
#24958
DATA C131A 001 - LEC 001 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Joshua Grossman
Aug 28, 2024 - Dec 13, 2024
Mo, We, Fr
02:00 pm - 02:59 pm

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.
Spring 2023
#25833

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
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.
Spring 2023
#25832

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
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.