Statistics Prerequisite

2022 Fall
#25654
STAT C131A 001 - LEC 001 offered through Statistics

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
Class #:25654
Units:4

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
#27871
INDENG 172 102 - DIS 102 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Alexandra Novales
Aug 24, 2022 - Dec 09, 2022
Fr
10:00 am - 10:59 am
Social Sciences Building 126
Class #:27871
Units:4

Instruction Mode: In-Person Instruction

Open Seats

11 Unreserved Seats

INDENG 172 - DIS 102 Probability and Risk Analysis for Engineers more detail
This is an introductory course in probability designed to develop a good understanding of uncertain phenomena and the mathematical tools used to model and analyze it. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. To complement the theory, the course also covers the basics of stochastic simulation. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements.
2022 Fall
#27870
INDENG 172 101 - DIS 101 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Alexandra Novales
Aug 24, 2022 - Dec 09, 2022
Fr
09:00 am - 09:59 am
Dwinelle 182
Class #:27870
Units:4

Instruction Mode: In-Person Instruction

Open Seats

11 Unreserved Seats

INDENG 172 - DIS 101 Probability and Risk Analysis for Engineers more detail
This is an introductory course in probability designed to develop a good understanding of uncertain phenomena and the mathematical tools used to model and analyze it. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. To complement the theory, the course also covers the basics of stochastic simulation. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements.
2022 Fall
#27869
INDENG 172 001 - LEC 001 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Rhonda Lee Righter
Aug 24, 2022 - Dec 09, 2022
Tu, Th
11:00 am - 12:29 pm
Etcheverry 3106
Class #:27869
Units:4

Instruction Mode: In-Person Instruction

Open Seats

INDENG 172 - LEC 001 Probability and Risk Analysis for Engineers more detail
This is an introductory course in probability designed to develop a good understanding of uncertain phenomena and the mathematical tools used to model and analyze it. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. To complement the theory, the course also covers the basics of stochastic simulation. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements.
2022 Fall
#32431
DATA C88S 999 - DIS 999 offered through Data Science Undergraduate Studies

Probability and Mathematical Statistics in Data Science

Class #:32431
Units:3

Instruction Mode: In-Person Instruction

Open Seats

210 Unreserved Seats

DATA C88S - DIS 999 Probability and Mathematical Statistics in Data Science more detail
In this connector course we will state precisely and prove results discovered while exploring data in Data 8. Topics include: probability, conditioning, and independence; random variables; distributions and joint distributions; expectation, variance, tail bounds; Central Limit Theorem; symmetries in random permutations; prior and posterior distributions; probabilistic models; bias-variance tradeoff; testing hypotheses; correlation and the regression model.
2022 Fall
#32382
DATA C88S 001 - LEC 001 offered through Data Science Undergraduate Studies

Probability and Mathematical Statistics in Data Science

Ani Adhikari, Syed Mohammad Shahzar Rizvi
Aug 24, 2022 - Dec 09, 2022
Tu, Th
05:00 pm - 06:29 pm
Lewis 100
Class #:32382
Units:3

Instruction Mode: In-Person Instruction

No Open Seats
DATA C88S - LEC 001 Probability and Mathematical Statistics in Data Science more detail
In this connector course we will state precisely and prove results discovered while exploring data in Data 8. Topics include: probability, conditioning, and independence; random variables; distributions and joint distributions; expectation, variance, tail bounds; Central Limit Theorem; symmetries in random permutations; prior and posterior distributions; probabilistic models; bias-variance tradeoff; testing hypotheses; correlation and the regression model.
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
Class #:32695
Units:4

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.
2022 Fall
#24959
DATA C8 001 - LEC 001 offered through Data Science Undergraduate Studies

Foundations of Data Science

Swupnil K Sahai, John DeNero
Aug 24, 2022 - Dec 09, 2022
Mo, We, Fr
02:00 pm - 02:59 pm
Wheeler 150
Class #:24959
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

This class is audio and/or visually recorded

No Open 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.
2022 Fall
#25740
DATA C131A 102 - LAB 102 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Jeremy Goldwasser
Aug 24, 2022 - Dec 09, 2022
Mo, We
03:00 pm - 03:59 pm
Evans 332
Class #:25740
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.
2022 Fall
#25739
DATA C131A 101 - LAB 101 offered through Data Science Undergraduate Studies

Statistical Methods for Data Science

Jeremy Goldwasser
Aug 24, 2022 - Dec 09, 2022
Mo, We
11:00 am - 11:59 am
Evans 332
Class #:25739
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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