Search Course Outline
Showing 25 course outlines from 4473 matches
3226
STATS 201
: Data Analysis2025 Summer School (1250)
A practical course using the R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208
Restriction: STATS 207, 208
3227
STATS 201
: Data Analysis2024 Semester Two (1245)
A practical course using the R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208
Restriction: STATS 207, 208
3228
STATS 201
: Data Analysis2024 Semester One (1243)
A practical course using the R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208
Restriction: STATS 207, 208
3229
STATS 201
: Data Analysis2024 Summer School (1240)
A practical course using the R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208
Restriction: STATS 207, 208
3230
STATS 201
: Data Analysis2023 Semester Two (1235)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3231
STATS 201
: Data Analysis2023 Semester One (1233)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3232
STATS 201
: Data Analysis2023 Summer School (1230)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3233
STATS 201
: Data Analysis2022 Semester Two (1225)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3234
STATS 201
: Data Analysis2022 Semester One (1223)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3235
STATS 201
: Data Analysis2022 Summer School (1220)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3236
STATS 201
: Data Analysis2021 Semester Two (1215)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3237
STATS 201
: Data Analysis2021 Semester One (1213)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3238
STATS 201
: Data Analysis2021 Summer School (1210)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3239
STATS 201
: Data Analysis2020 Semester Two (1205)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3240
STATS 201
: Data Analysis2020 Semester One (1203)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3241
STATS 201
: Data Analysis2020 Summer School (1200)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
Restriction: STATS 207, 208, BIOSCI 209
3242
STATS 208
: Data Analysis for Commerce2025 Semester Two (1255)
A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207
Restriction: STATS 201, 207
3243
STATS 208
: Data Analysis for Commerce2025 Semester One (1253)
A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207
Restriction: STATS 201, 207
3244
STATS 208
: Data Analysis for Commerce2025 Summer School (1250)
A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207
Restriction: STATS 201, 207
3245
STATS 208
: Data Analysis for Commerce2024 Semester Two (1245)
A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207
Restriction: STATS 201, 207
3246
STATS 208
: Data Analysis for Commerce2024 Semester One (1243)
A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207
Restriction: STATS 201, 207
3247
STATS 208
: Data Analysis for Commerce2024 Summer School (1240)
A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207
Restriction: STATS 201, 207
3248
STATS 208
: Data Analysis for Commerce2023 Semester Two (1235)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
Restriction: STATS 201, 207, BIOSCI 209
3249
STATS 208
: Data Analysis for Commerce2023 Semester One (1233)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
Restriction: STATS 201, 207, BIOSCI 209
3250
STATS 208
: Data Analysis for Commerce2023 Summer School (1230)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
Restriction: STATS 201, 207, BIOSCI 209
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