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Showing 25 course outlines from 4474 matches
3526
STATS 780
: Statistical Consulting2021 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.
Prerequisite: STATS 330 or 762
3527
STATS 780
: Statistical Consulting2020 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.
No pre-requisites or restrictions
3528
STATS 781
: Honours Project in Statistics2020 Semester One (1203)
Restriction: STATS 789
To complete this course students must enrol in STATS 781 A and B, or STATS 781
3529
STATS 782
: Statistical Computing2025 Semester Two (1255)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
3530
STATS 782
: Statistical Computing2025 Semester One (1253)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
3531
STATS 782
: Statistical Computing2024 Semester Two (1245)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
3532
STATS 782
: Statistical Computing2024 Semester One (1243)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
3533
STATS 782
: Statistical Computing2023 Semester Two (1235)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3534
STATS 782
: Statistical Computing2023 Semester One (1233)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3535
STATS 782
: Statistical Computing2022 Semester Two (1225)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3536
STATS 782
: Statistical Computing2022 Semester One (1223)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3537
STATS 782
: Statistical Computing2021 Semester Two (1215)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3538
STATS 782
: Statistical Computing2021 Semester One (1213)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
3539
STATS 782
: Statistical Computing2020 Semester Two (1205)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: STATS 210 or 225 and STATS 201 or 207 or 208
3540
STATS 782
: Statistical Computing2020 Semester One (1203)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: STATS 210 or 225 and STATS 201 or 207 or 208
3541
STATS 784
: Statistical Data Mining2023 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.
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
3542
STATS 784
: Statistical Data Mining2022 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.
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
3543
STATS 784
: Statistical Data Mining2021 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.
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
3544
STATS 785
: Foundations of Statistical Data Management2021 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.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
Restriction: STATS 301
Restriction: STATS 301
3545
STATS 785
: Foundations of Statistical Data Management2020 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.
No pre-requisites or restrictions
3546
STATS 785
: Foundations of Statistical Data Management2020 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.
No pre-requisites or restrictions
3547
STATS 786
: Time Series Forecasting for Data Science2025 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.
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
Restriction: STATS 326, 727
3548
STATS 786
: Time Series Forecasting for Data Science2024 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.
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
Restriction: STATS 326, 727
3549
STATS 786
: Time Series Forecasting for Data Science2023 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.
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
Restriction: STATS 326, 727
3550
STATS 786
: Time Series Forecasting for Data Science2022 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.
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
Restriction: STATS 326, 727
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