Statistics for Urban Studies

2021 Fall
#23331
STAT 2 102 - LAB 102 offered through Statistics

Introduction to Statistics

Benjamin L Chang
Aug 25, 2021 - Dec 10, 2021
Tu, Th
01:00 pm - 01:59 pm
Evans 332
Class #:23331
Units:4

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. Binomial distribution. Interval estimation. Some standard significance tests.
2021 Fall
#30752
STAT C131A 102 - LAB 102 offered through Statistics

Statistical Methods for Data Science

Kevin Taofeng Chen
Aug 25, 2021 - Dec 10, 2021
Mo, We
03:00 pm - 03:59 pm
Evans 332
Class #:30752
Units:4

Instruction Mode: In-Person Instruction

Open Seats

9 Unreserved 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.
2021 Fall
#30751
STAT C131A 101 - LAB 101 offered through Statistics

Statistical Methods for Data Science

Aichu Shen
Aug 25, 2021 - Dec 10, 2021
Mo, We
01:00 pm - 01:59 pm
Evans 332
Class #:30751
Units:4

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.
2021 Fall
#30750
STAT C131A 001 - LEC 001 offered through Statistics

Statistical Methods for Data Science

Shobhana Murali Stoyanov
Aug 25, 2021 - Dec 10, 2021
Mo, We, Fr
10:00 am - 10:59 am
Barker 101
Class #:30750
Units:4

Instruction Mode: In-Person Instruction

Open Seats

10 Unreserved 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.
2021 Fall
#29348
INFO C8 999L - LAB 999L offered through School of Information

Foundations of Data Science

Aug 25, 2021 - Dec 10, 2021
12:00 am
Class #:29348
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
INFO 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
#29347
INFO C8 001 - LEC 001 offered through School of Information

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
Class #:29347
Units:4

Instruction Mode: Pending Review

No Open Seats
INFO 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.
2021 Fall
#26226
DATA C8 999L - LAB 999L offered through Data Science Undergraduate Studies

Foundations of Data Science

Aug 25, 2021 - Dec 10, 2021
12:00 am
Class #:26226

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

Open Seats

5 Unreserved 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.
2021 Fall
#26225
DATA C8 001 - LEC 001 offered through Data Science Undergraduate Studies

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
Class #:26225
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

Open Seats

5 Unreserved Seats

DATA 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.
2021 Fall
#30969
DATA C131A 102 - LAB 102 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Kevin Taofeng Chen
Aug 25, 2021 - Dec 10, 2021
Mo, We
03:00 pm - 03:59 pm
Evans 332
Class #:30969
Units:4

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.
2021 Fall
#30968
DATA C131A 101 - LAB 101 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Aichu Shen
Aug 25, 2021 - Dec 10, 2021
Mo, We
01:00 pm - 01:59 pm
Evans 332
Class #:30968
Units:4

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.
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