Statistics Prerequisite

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
Evans 334
Class #:25844
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.
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
Evans 334
Class #:25843
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.
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
Class #:25841
Units:4

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
#32430
STAT C88S 999 - DIS 999 offered through Statistics

Probability and Mathematical Statistics in Data Science

Class #:32430
Units:3

Instruction Mode: In-Person Instruction

No Open Seats
STAT 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
#32397
STAT C88S 001 - LEC 001 offered through Statistics

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 #:32397
Units:3

Instruction Mode: In-Person Instruction

No Open Seats
STAT 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
#24963
STAT C8 999L - LAB 999L offered through Statistics

Foundations of Data Science

Aug 24, 2022 - Dec 09, 2022
12:00 am
Class #:24963
Units:4

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
STAT C8 001 - LEC 001 offered through Statistics

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 #:24962
Units:4

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
#26274
STAT 134 110 - DIS 110 offered through Statistics

Concepts of Probability

Yassine El Maazouz
Aug 24, 2022 - Dec 09, 2022
Mo, We
05:00 pm - 05:59 pm
Evans 332
Class #:26274
Units:4

Instruction Mode: In-Person Instruction

Open Seats

4 Unreserved Seats

STAT 134 - DIS 110 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
2022 Fall
#26273
STAT 134 109 - DIS 109 offered through Statistics

Concepts of Probability

Jai Sankar
Aug 24, 2022 - Dec 09, 2022
Mo, We
05:00 pm - 05:59 pm
Evans 334
Class #:26273
Units:4

Instruction Mode: In-Person Instruction

Open Seats

4 Unreserved Seats

STAT 134 - DIS 109 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
2022 Fall
#26272
STAT 134 108 - DIS 108 offered through Statistics

Concepts of Probability

Jai Sankar
Aug 24, 2022 - Dec 09, 2022
Mo, We
04:00 pm - 04:59 pm
Evans 332
Class #:26272
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT 134 - DIS 108 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
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