Statistics Prerequisite

INDENG 172 (2014-08-21 - 2015-01-13)

This is an introductory probability course for students in engineering. It focuses mostly on random variables and their applications. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, computer science, and others. Note: This course is a statistics course and cannot be used to fulfill any engineering unit or elective requirements.

INDENG 172 (2009-01-13 - 2014-08-21)

This is an introductory probability course for students in engineering. It focuses mostly on random variables and their applications. Applications will be given in such areas as reliability theory, risk theory, inventory theory, failure models, stress models, computer science, and others. Note: this course can not be used to fulfill any engineering unit or elective requirements; this is a statistics course and can only be used to fulfill a statistics requirement.
2023 Fall
#25176

Statistical Methods for Data Science

Neo Yin
Aug 23, 2023 - Dec 08, 2023
Tu, Th
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.
2023 Fall
#25175

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
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.
2023 Fall
#25174

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
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.
2023 Fall
#25240
DATA C131A 102 - LAB 102 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Neo Yin
Aug 23, 2023 - Dec 08, 2023
Tu, Th
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.
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.