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Showing 25 course outlines from 4473 matches

3526

STATS 780

: Statistical Consulting
2021 Semester Two (1215)
Students will learn about the practicalities of statistical consulting. Students will carry out a statistical consulting project, including the writing of a report, under the supervision of a member of the academic staff.
Subject: Statistics
Prerequisite: STATS 330 or 762
3527

STATS 780

: Statistical Consulting
2020 Semester Two (1205)
Students will learn about the practicalities of statistical consulting. Students will carry out a statistical consulting project, including the writing of a report, under the supervision of a member of the academic staff.
Subject: Statistics
No pre-requisites or restrictions
3528

STATS 781

: Honours Project in Statistics
2020 Semester One (1203)
Subject: Statistics
Restriction: STATS 789 To complete this course students must enrol in STATS 781 A and B, or STATS 781
3529

STATS 782

: Statistical Computing
2025 Semester Two (1255)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
3530

STATS 782

: Statistical Computing
2025 Semester One (1253)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
3531

STATS 782

: Statistical Computing
2024 Semester Two (1245)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
3532

STATS 782

: Statistical Computing
2024 Semester One (1243)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
3533

STATS 782

: Statistical Computing
2023 Semester Two (1235)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3534

STATS 782

: Statistical Computing
2023 Semester One (1233)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3535

STATS 782

: Statistical Computing
2022 Semester Two (1225)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3536

STATS 782

: Statistical Computing
2022 Semester One (1223)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3537

STATS 782

: Statistical Computing
2021 Semester Two (1215)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3538

STATS 782

: Statistical Computing
2021 Semester One (1213)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3539

STATS 782

: Statistical Computing
2020 Semester Two (1205)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: STATS 210 or 225 and STATS 201 or 207 or 208
3540

STATS 782

: Statistical Computing
2020 Semester One (1203)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: STATS 210 or 225 and STATS 201 or 207 or 208
3541

STATS 784

: Statistical Data Mining
2023 Semester One (1233)
Data cleaning, missing values, data warehouses, security, fraud detection, meta-analysis, and statistical techniques for data mining such as regression and decision trees, modern and semiparametric regression, neural networks, statistical approaches to the classification problem.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
3542

STATS 784

: Statistical Data Mining
2022 Semester One (1223)
Data cleaning, missing values, data warehouses, security, fraud detection, meta-analysis, and statistical techniques for data mining such as regression and decision trees, modern and semiparametric regression, neural networks, statistical approaches to the classification problem.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
3543

STATS 784

: Statistical Data Mining
2021 Semester One (1213)
Data cleaning, missing values, data warehouses, security, fraud detection, meta-analysis, and statistical techniques for data mining such as regression and decision trees, modern and semiparametric regression, neural networks, statistical approaches to the classification problem.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
3544

STATS 785

: Foundations of Statistical Data Management
2021 Semester Two (1215)
SAS statistical software with an emphasis on using SAS as a programming language for purposes of database manipulation, simulation, statistical modelling and other computer-intensive methods.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
Restriction: STATS 301
3545

STATS 785

: Foundations of Statistical Data Management
2020 Semester Two (1205)
SAS statistical software with an emphasis on using SAS as a programming language for purposes of database manipulation, simulation, statistical modelling and other computer-intensive methods.
Subject: Statistics
No pre-requisites or restrictions
3546

STATS 785

: Foundations of Statistical Data Management
2020 Summer School (1200)
SAS statistical software with an emphasis on using SAS as a programming language for purposes of database manipulation, simulation, statistical modelling and other computer-intensive methods.
Subject: Statistics
No pre-requisites or restrictions
3547

STATS 786

: Time Series Forecasting for Data Science
2025 Semester One (1253)
Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Subject: Statistics
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
3548

STATS 786

: Time Series Forecasting for Data Science
2024 Semester One (1243)
Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Subject: Statistics
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
3549

STATS 786

: Time Series Forecasting for Data Science
2023 Semester One (1233)
Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Subject: Statistics
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
3550

STATS 786

: Time Series Forecasting for Data Science
2022 Semester One (1223)
Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Subject: Statistics
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727