SAS Statistical Business Analyst Professional Certificate

About Course

SAS Statistical Business Analyst Professional Certificate, This program is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes. If modeling data for business outcomes is relevant in your job role or industry, this certificate is a valuable indication of your proficiency. There are numerous hands-on practices integrated throughout the three courses of the program. Data examples are general enough to be applicable to a broad range of subject areas. Specific examples you will see in the courses address agriculture, manufacturing, health care, banking, retail, and nonprofit.

Course Content

01. Introduction to Statistical Analysis Hypothesis Testing

006 02_demo-exploring-ames-housing-data.mp4

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007 03_learner-prerequisites_instructions.html

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008 01_access-sas-software-for-this-course_instructions.html

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009 02_follow-these-instructions-to-set-up-data-for-this-course-required_instructions.html

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011 03_completing-demos-and-practices_instructions.html

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012 04_using-forums-and-getting-help_instructions.html

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015 01_overview.mp4

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021 02_overview-of-models.mp4

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024 03_explanatory-versus-predictive-modeling.mp4

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025 04_question-1-01_quiz.html

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028 01_population-parameters-and-sample-statistics.mp4

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029 02_parameters-and-statistics_instructions.html

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033 03_normal-gaussian-distribution.mp4

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034 04_normal-distribution_instructions.html

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037 05_standard-error-of-the-mean.mp4

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040 06_confidence-intervals.mp4

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041 07_question-1-02_quiz.html

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044 08_statistical-hypothesis-test.mp4

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047 09_p-value-effect-size-and-sample-size-influence.mp4

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048 10_question-1-03_quiz.html

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051 01_scenario.mp4

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054 02_performing-a-t-test.mp4

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055 03_question-1-04_quiz.html

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058 04_demo-performing-a-one-sample-t-test-using-proc-ttest.mp4

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059 05_question-1-05_quiz.html

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060 06_practice-using-proc-ttest-to-perform-a-one-sample-t-test_quiz.html

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063 01_scenario.mp4

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066 02_assumptions-for-the-two-sample-t-test.mp4

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069 03_testing-for-equal-and-unequal-variances.mp4

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070 04_question-1-06_quiz.html

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073 05_demo-performing-a-two-sample-t-test-using-proc-ttest.mp4

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074 06_practice-using-proc-ttest-to-compare-groups_quiz.html

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078 01_overview.mp4

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084 02_identifying-associations-in-anova-with-box-plots.mp4

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087 03_demo-exploring-associations-using-proc-sgplot.mp4

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090 04_identifying-associations-in-linear-regression-with-scatter-plots.mp4

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093 05_demo-exploring-associations-using-proc-sgscatter.mp4

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096 01_scenario.mp4

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097 02_question-2-01_quiz.html

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100 03_the-anova-hypothesis.mp4

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103 04_partitioning-variability-in-anova.mp4

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106 05_coefficient-of-determination.mp4

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109 06_f-statistic-and-critical-values.mp4

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110 07_question-2-02_quiz.html

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113 08_the-anova-model.mp4

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114 09_question-2-03_quiz.html

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117 10_demo-performing-a-one-way-anova-using-proc-glm.mp4

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118 11_what-does-a-class-statement-do_instructions.html

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119 12_question-2-04_quiz.html

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120 13_practice-performing-a-one-way-anova_quiz.html

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123 01_scenario.mp4

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126 02_multiple-comparison-methods.mp4

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129 03_tukeys-and-dunnetts-multiple-comparison-methods.mp4

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132 04_diffograms-and-control-plots.mp4

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135 05_demo-performing-a-post-hoc-pairwise-comparison-using-proc-glm.mp4

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136 06_question-2-05_quiz.html

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137 07_question-2-06_quiz.html

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138 08_practice-using-proc-glm-to-perform-post-hoc-parwise-comparisons_quiz.html

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141 01_scenario.mp4

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144 02_using-correlation-to-measure-relationships-between-continuous-variables.mp4

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147 03_hypothesis-testing-for-a-correlation.mp4

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148 04_question-2-07_quiz.html

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151 05_avoiding-common-errors-when-interpreting-correlations.mp4

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154 06_demo-producing-correlation-statistics-and-scatter-plots-using-proc-corr.mp4

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155 07_correlation-analysis-and-model-building_instructions.html

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156 08_question-2-08_quiz.html

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157 09_practice-describing-the-relationship-between-continuous-variables_quiz.html

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160 01_scenario.mp4

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163 02_the-simple-linear-regression-model.mp4

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166 03_how-sas-performs-simple-linear-regression.mp4

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169 04_comparing-the-regression-model-to-a-baseline-model.mp4

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172 05_hypothesis-testing-and-assumptions-for-linear-regression.mp4

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175 06_demo-performing-simple-linear-regression-using-proc-reg.mp4

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176 07_question-2-09_quiz.html

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177 08_practice-using-proc-reg-to-fit-a-simple-linear-regression-model_quiz.html

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181 01_overview.mp4

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187 02_applying-the-two-way-anova-model.mp4

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190 03_demo-performing-a-two-way-anova-using-proc-glm.mp4

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193 04_interactions.mp4

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194 05_question-3-01_quiz.html

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197 06_demo-performing-a-two-way-anova-with-an-interaction-using-proc-glm.mp4

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198 07_the-store-statement_instructions.html

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201 08_demo-performing-post-processing-analysis-using-proc-plm.mp4

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202 09_practice-performing-a-two-way-anova-using-proc-glm_quiz.html

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205 01_scenario.mp4

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208 02_the-multiple-linear-regression-model.mp4

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211 03_hypothesis-testing-for-multiple-regression.mp4

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214 04_multiple-linear-regression-versus-simple-linear-regression.mp4

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217 05_adjusted-r-square.mp4

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220 06_demo-fitting-a-multiple-linear-regression-model-using-proc-reg.mp4

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221 07_question-3-02_quiz.html

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222 08_practice-performing-multiple-regression-using-proc-reg_quiz.html

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223 01_more-complex-linear-models_exam.html

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02. Regression Modeling Fundamentals

006 02_demo-exploring-ames-housing-data.mp4

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007 03_learner-prerequisites_instructions.html

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008 01_access-sas-software-for-this-course_instructions.html

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009 02_follow-these-instructions-to-set-up-data-for-this-course_instructions.html

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011 03_completing-demos-and-practices_instructions.html

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012 04_using-forums-and-getting-help_instructions.html

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015 01_overview.mp4

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021 02_approaches-to-selecting-models.mp4

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024 03_the-all-possible-regressions-approach-to-model-building.mp4

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027 04_the-stepwise-selection-approach-to-model-building.mp4

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030 05_interpreting-p-values-and-parameter-estimates.mp4

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033 06_demo-performing-stepwise-regression-using-proc-glmselect.mp4

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034 07_activity-optional-stepwise-selection-method-code_instructions.html

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035 08_question-4-01_quiz.html

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036 09_practice-using-proc-glmselect-to-perform-stepwise-selection_quiz.html

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039 01_scenario.mp4

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042 02_information-criteria.mp4

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043 03_information-criteria-penalty-components_instructions.html

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046 04_adjusted-r-square-and-mallows-cp.mp4

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049 05_demo-performing-model-selection-using-proc-glmselect.mp4

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050 06_practice-using-proc-glmselect-to-perform-other-model-selection-techniques_quiz.html

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056 01_overview.mp4

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062 02_assumptions-for-regression.mp4

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065 03_verifying-assumptions-using-residual-plots.mp4

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068 04_demo-examining-residual-plots-using-proc-reg.mp4

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069 05_practice-using-proc-reg-to-examine-residuals_quiz.html

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072 01_scenario.mp4

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075 02_identifying-influential-observations.mp4

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078 03_checking-for-outliers-with-student-residuals.mp4

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079 04_question-5-01_quiz.html

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082 05_checking-for-influential-observations.mp4

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085 06_detecting-influential-observations-with-dfbetas.mp4

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088 07_demo-looking-for-influential-observations-using-proc-glmselect-and-proc-reg.mp4

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091 08_demo-examining-the-influential-observations-using-proc-print.mp4

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094 09_handling-influential-observations.mp4

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095 10_practice-using-proc-reg-to-generate-potential-outliers_quiz.html

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098 01_scenario.mp4

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101 02_exploring-collinearity.mp4

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104 03_visualizing-collinearity.mp4

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107 04_demo-calculating-collinearity-diagnostics-using-proc-reg.mp4

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110 05_using-an-effective-modeling-cycle.mp4

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111 06_question-5-02_quiz.html

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112 07_question-5-03_quiz.html

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113 08_practice-using-proc-reg-to-assess-collinearity_quiz.html

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117 01_overview.mp4

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123 02_predictive-modeling-terminology.mp4

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126 03_model-complexity.mp4

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129 04_building-a-predictive-model.mp4

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132 05_model-assessment-and-selection.mp4

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133 06_question-6-01_quiz.html

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136 07_demo-building-a-predictive-model-using-proc-glmselect.mp4

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137 08_partitioning-a-data-set-using-proc-glmselect_instructions.html

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138 09_practice-building-a-predictive-model-using-proc-glmselect_quiz.html

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141 01_scenario.mp4

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144 02_preparing-for-scoring.mp4

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147 03_methods-of-scoring.mp4

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150 04_demo-scoring-data-using-proc-plm.mp4

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151 05_practice-scoring-using-the-score-statement-in-proc-glmselect_quiz.html

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155 01_overview.mp4

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161 02_associations-between-categorical-variables.mp4

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164 03_demo-examining-the-distribution-of-categorical-variables-using-proc-freq-and.mp4

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165 04_question-7-01_quiz.html

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166 05_question-7-02_quiz.html

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167 06_practice-using-proc-freq-to-examine-distributions_quiz.html

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170 01_scenario.mp4

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173 02_the-pearson-chi-square-test.mp4

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176 03_odds-ratios.mp4

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177 04_question-7-03_quiz.html

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180 05_demo-performing-a-pearson-chi-square-test-of-association-using-proc-freq.mp4

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181 06_question-7-04_quiz.html

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184 07_scenario.mp4

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187 08_the-mantel-haenszel-chi-square-test.mp4

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190 09_the-spearman-correlation-statistic.mp4

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191 10_question-7-05_quiz.html

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194 11_demo-detecting-ordinal-associations-using-proc-freq.mp4

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195 12_question-7-06_quiz.html

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196 13_practice-using-proc-freq-to-perform-tests-and-measures-of-association_quiz.html

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199 01_scenario.mp4

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202 02_modeling-a-binary-response.mp4

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203 03_question-7-07_quiz.html

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206 04_demo-fitting-a-binary-logistic-regression-model-using-proc-logistic.mp4

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209 05_interpreting-the-odds-ratio.mp4

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212 06_comparing-pairs-to-assess-the-fit-of-a-logistic-regression-model.mp4

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213 07_question-7-08_quiz.html

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214 08_practice-using-proc-logistic-to-perform-a-binary-logistic-regression-analysis_quiz.html

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217 01_scenario.mp4

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220 02_specifying-a-parameterization-method.mp4

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221 03_question-7-09_quiz.html

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224 04_demo-fitting-a-multiple-logistic-regression-model-with-categorical-predictors.mp4

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003 01_welcome-and-meet-the-instructor.mp4

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225 05_question-7-10_quiz.html

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226 06_practice-using-proc-logistic-to-perform-a-multiple-logistic-regression-analysis_quiz.html

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229 01_scenario.mp4

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232 02_interactions-between-variables.mp4

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235 03_demo-fitting-a-multiple-logistic-regression-model-with-interactions-using-proc.mp4

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236 04_question-7-11_quiz.html

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239 05_demo-fitting-a-multiple-logistic-regression-model-with-all-odds-ratios-using.mp4

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240 06_question-7-12_quiz.html

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243 07_demo-generating-predictions-using-proc-plm.mp4

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244 08_practice-using-proc-logistic-to-perform-backward-elimination-and-proc-plm-to_quiz.html

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245 01_categorical-data-analysis_exam.html

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03. Predictive Modeling with Logistic Regression using SAS

004 02_what-you-learn-in-this-course_instructions.html

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005 03_learner-prerequisites_instructions.html

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006 04_using-forums-and-getting-help_instructions.html

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007 01_access-sas-software-for-this-course_instructions.html

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008 02_set-up-data-for-this-course-required_instructions.html

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010 03_about-the-demos-and-practices-in-this-course_instructions.html

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013 01_overview.mp4

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019 02_goals-of-predictive-modeling.mp4

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022 03_terms-for-elements-in-predictive-modeling.mp4

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025 04_basic-steps-of-predictive-modeling.mp4

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028 05_applications-of-predictive-modeling.mp4

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031 06_demonstration-scenario-target-marketing-for-a-bank.mp4

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034 07_demo-examining-the-code-for-generating-descriptive-statistics-and-frequency.mp4

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035 08_practice-exploring-the-bank-data-for-the-target-marketing-project_quiz.html

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036 09_practice-exploring-the-veterans-organization-data-used-in-the-practices_quiz.html

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039 01_introduction.mp4

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042 02_data-challenges.mp4

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045 03_analytical-challenges.mp4

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048 04_separate-sampling.mp4

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049 05_question-1-01_quiz.html

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052 06_avoiding-the-optimism-bias-honest-assessment.mp4

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055 07_splitting-the-data-for-model-training-and-assessment.mp4

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056 08_question-1-02_quiz.html

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059 09_demo-splitting-the-data.mp4

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060 10_question-1-03_quiz.html

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061 11_practice-splitting-the-data_quiz.html

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066 01_overview.mp4

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072 02_understanding-the-logistic-regression-model.mp4

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075 03_constraining-the-posterior-probability-using-the-logit-transformation.mp4

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078 04_understanding-the-fitted-surface.mp4

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081 05_interpreting-the-model-by-calculating-the-odds-ratio.mp4

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082 06_question-2-01_quiz.html

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085 07_understanding-logistic-discrimination.mp4

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088 08_estimating-unknown-parameters-using-maximum-likelihood-estimation.mp4

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091 09_interpreting-concordant-discordant-and-tied-pairs.mp4

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094 10_using-proc-logistic-to-fit-logistic-regression-models.mp4

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097 11_demo-fitting-a-basic-logistic-regression-model-part-1.mp4

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100 12_demo-fitting-a-basic-logistic-regression-model-part-2.mp4

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101 13_question-2-02_quiz.html

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104 14_scoring-new-cases.mp4

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107 15_demo-scoring-new-cases.mp4

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110 01_introduction.mp4

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113 02_understanding-the-effect-of-oversampling.mp4

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116 03_understanding-the-offset.mp4

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119 04_demo-correcting-for-oversampling.mp4

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120 05_practice-fitting-a-logistic-regression-model_quiz.html

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122 01_summary_instructions.html

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123 02_fitting-the-model-review_exam.html

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126 01_overview.mp4

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132 02_reasons-for-missing-data.mp4

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135 03_complete-case-analysis.mp4

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138 04_methods-for-imputing-missing-values.mp4

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141 05_missing-value-imputation-with-missing-value-indicator-variables.mp4

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142 06_question-3-01_quiz.html

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145 07_demo-imputing-missing-values.mp4

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148 08_cluster-imputation.mp4

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149 09_practice-imputing-missing-values_quiz.html

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152 01_introduction.mp4

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153 02_question-3-02_quiz.html

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156 03_problems-caused-by-categorical-inputs.mp4

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159 04_solutions-to-problems-caused-by-categorical-inputs.mp4

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162 05_linking-to-other-data-sets.mp4

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165 06_collapsing-categories-by-thresholding.mp4

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168 07_collapsing-categories-by-using-greenacres-method.mp4

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169 08_question-3-03_quiz.html

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172 09_demo-collapsing-the-levels-of-a-nominal-input-part-1.mp4

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173 10_question-3-04_quiz.html

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176 11_demo-collapsing-the-levels-of-a-nominal-input-part-2.mp4

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177 12_practice-collapsing-the-levels-of-a-nominal-input_quiz.html

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180 13_replacing-categorical-levels-by-using-smoothed-weight-of-evidence-coding.mp4

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183 14_demo-computing-the-smoothed-weight-of-evidence.mp4

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184 15_practice-computing-the-smoothed-weight-of-evidence_quiz.html

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187 01_introduction.mp4

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190 02_problem-of-redundancy.mp4

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193 03_variable-clustering-method.mp4

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196 04_understanding-principal-components.mp4

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199 05_divisive-clustering.mp4

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202 06_proc-varclus-syntax.mp4

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205 07_selecting-a-representative-variable-from-each-cluster.mp4

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208 08_demo-reducing-redundancy-by-clustering-variables.mp4

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209 09_question-3-05_quiz.html

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210 10_practice-reducing-redundancy-by-clustering-variables_quiz.html

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213 01_introduction.mp4

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216 02_detecting-nonlinear-relationships.mp4

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219 03_demo-performing-variable-screening-part-1.mp4

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222 04_demo-performing-variable-screening-part-2.mp4

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223 05_question-3-06_quiz.html

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224 06_practice-performing-variable-screening_quiz.html

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227 07_univariate-binning-and-smoothing.mp4

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230 08_demo-creating-empirical-logit-plots.mp4

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231 09_practice-creating-empirical-logit-plots_quiz.html

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234 10_remedies-for-nonlinear-relationships.mp4

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235 11_question-3-07_quiz.html

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238 12_demo-accommodating-a-nonlinear-relationship-part-1.mp4

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241 13_demo-accommodating-a-nonlinear-relationship-part-2.mp4

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242 14_question-3-08_quiz.html

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245 01_introduction.mp4

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248 02_specifying-a-subset-selection-method-in-proc-logistic.mp4

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251 03_best-subsets-selection.mp4

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254 04_stepwise-selection.mp4

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257 05_backward-elimination.mp4

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260 06_scalability-of-the-subset-selection-methods-in-proc-logistic.mp4

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261 07_question-3-09_quiz.html

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264 08_detecting-interactions.mp4

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267 09_bic-based-significance-level.mp4

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270 10_demo-detecting-interactions.mp4

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271 11_practice-using-forward-selection-to-detect-interactions_quiz.html

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274 12_demo-using-backward-elimination-to-subset-the-variables.mp4

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275 13_question-3-10_quiz.html

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276 14_practice-using-backward-elimination-to-subset-the-variables_quiz.html

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279 15_demo-displaying-odds-ratios-for-variables-involved-in-interactions.mp4

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282 16_demo-creating-an-interaction-plot.mp4

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285 17_demo-using-the-best-subsets-selection-method.mp4

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288 18_demo-using-fit-statistics-to-select-a-model.mp4

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289 19_question-3-11_quiz.html

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290 20_practice-using-fit-statistics-to-select-a-model_quiz.html

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291 01_summary-of-preparing-the-input-variables-parts-1-and-2_instructions.html

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293 02_preparing-the-input-variables-review_exam.html

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296 01_overview.mp4

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302 02_fit-versus-complexity.mp4

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305 03_assessing-models-when-target-event-data-is-rare.mp4

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306 04_question-4-01_quiz.html

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309 05_demo-preparing-the-validation-data.mp4

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312 01_introduction.mp4

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315 02_understanding-the-confusion-matrix.mp4

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318 03_measuring-performance-across-cutoffs-by-using-the-roc-curve.mp4

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321 04_choosing-depth-by-using-the-gains-chart.mp4

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324 05_effects-of-oversampled-data-on-performance-measures.mp4

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327 06_adjusting-a-confusion-matrix-for-oversampling.mp4

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328 07_question-4-02_quiz.html

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331 08_demo-measuring-model-performance-based-on-commonly-used-metrics.mp4

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332 09_question-4-03_quiz.html

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333 10_practice-assessing-model-performance_quiz.html

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336 01_introduction.mp4

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339 02_understanding-the-effect-of-cutoffs-on-confusion-matrices.mp4

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342 03_understanding-the-profit-matrix.mp4

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345 04_choosing-the-optimal-cutoff-by-using-the-profit-matrix.mp4

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348 05_using-the-central-cutoff.mp4

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351 06_using-profit-to-assess-fit.mp4

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352 07_question-4-04_quiz.html

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355 08_calculating-sampling-weights.mp4

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358 09_demo-using-a-profit-matrix-to-measure-model-performance.mp4

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359 10_question-4-05_quiz.html

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362 01_introduction.mp4

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365 02_plotting-class-separation.mp4

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368 03_assessing-overall-predictive-power.mp4

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371 04_demo-using-the-k-s-statistic-to-measure-model-performance.mp4

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372 05_question-4-06_quiz.html

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375 01_introduction.mp4

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378 02_comparing-roc-curves-of-several-models.mp4

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381 03_demo-comparing-roc-curves-to-measure-model-performance.mp4

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384 04_using-macros-to-compare-many-models.mp4

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387 05_demo-comparing-and-evaluating-many-models-part-1.mp4

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390 06_demo-comparing-and-evaluating-many-models-part-2.mp4

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391 07_question-4-07_quiz.html

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392 01_summary_instructions.html

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394 02_measuring-model-performance-review_exam.html

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395 01_about-the-certification-exam_instructions.html

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About Course

What Will You Learn?

Course Content

01. Introduction to Statistical Analysis Hypothesis Testing

006 02_demo-exploring-ames-housing-data.mp4

007 03_learner-prerequisites_instructions.html

008 01_access-sas-software-for-this-course_instructions.html

009 02_follow-these-instructions-to-set-up-data-for-this-course-required_instructions.html

011 03_completing-demos-and-practices_instructions.html

012 04_using-forums-and-getting-help_instructions.html

015 01_overview.mp4

021 02_overview-of-models.mp4

024 03_explanatory-versus-predictive-modeling.mp4

025 04_question-1-01_quiz.html

028 01_population-parameters-and-sample-statistics.mp4

029 02_parameters-and-statistics_instructions.html

033 03_normal-gaussian-distribution.mp4

034 04_normal-distribution_instructions.html

037 05_standard-error-of-the-mean.mp4

040 06_confidence-intervals.mp4

041 07_question-1-02_quiz.html

044 08_statistical-hypothesis-test.mp4

047 09_p-value-effect-size-and-sample-size-influence.mp4

048 10_question-1-03_quiz.html

051 01_scenario.mp4

054 02_performing-a-t-test.mp4

055 03_question-1-04_quiz.html

058 04_demo-performing-a-one-sample-t-test-using-proc-ttest.mp4

059 05_question-1-05_quiz.html

060 06_practice-using-proc-ttest-to-perform-a-one-sample-t-test_quiz.html

063 01_scenario.mp4

066 02_assumptions-for-the-two-sample-t-test.mp4

069 03_testing-for-equal-and-unequal-variances.mp4

070 04_question-1-06_quiz.html

073 05_demo-performing-a-two-sample-t-test-using-proc-ttest.mp4

074 06_practice-using-proc-ttest-to-compare-groups_quiz.html

078 01_overview.mp4

084 02_identifying-associations-in-anova-with-box-plots.mp4

087 03_demo-exploring-associations-using-proc-sgplot.mp4

090 04_identifying-associations-in-linear-regression-with-scatter-plots.mp4

093 05_demo-exploring-associations-using-proc-sgscatter.mp4

096 01_scenario.mp4

097 02_question-2-01_quiz.html

100 03_the-anova-hypothesis.mp4

103 04_partitioning-variability-in-anova.mp4

106 05_coefficient-of-determination.mp4

109 06_f-statistic-and-critical-values.mp4

110 07_question-2-02_quiz.html

113 08_the-anova-model.mp4

114 09_question-2-03_quiz.html

117 10_demo-performing-a-one-way-anova-using-proc-glm.mp4

118 11_what-does-a-class-statement-do_instructions.html

119 12_question-2-04_quiz.html

120 13_practice-performing-a-one-way-anova_quiz.html

123 01_scenario.mp4

126 02_multiple-comparison-methods.mp4

129 03_tukeys-and-dunnetts-multiple-comparison-methods.mp4

132 04_diffograms-and-control-plots.mp4

135 05_demo-performing-a-post-hoc-pairwise-comparison-using-proc-glm.mp4

136 06_question-2-05_quiz.html

137 07_question-2-06_quiz.html

138 08_practice-using-proc-glm-to-perform-post-hoc-parwise-comparisons_quiz.html

141 01_scenario.mp4

144 02_using-correlation-to-measure-relationships-between-continuous-variables.mp4

147 03_hypothesis-testing-for-a-correlation.mp4

148 04_question-2-07_quiz.html

151 05_avoiding-common-errors-when-interpreting-correlations.mp4

154 06_demo-producing-correlation-statistics-and-scatter-plots-using-proc-corr.mp4

155 07_correlation-analysis-and-model-building_instructions.html

156 08_question-2-08_quiz.html

157 09_practice-describing-the-relationship-between-continuous-variables_quiz.html

160 01_scenario.mp4

163 02_the-simple-linear-regression-model.mp4

166 03_how-sas-performs-simple-linear-regression.mp4

169 04_comparing-the-regression-model-to-a-baseline-model.mp4

172 05_hypothesis-testing-and-assumptions-for-linear-regression.mp4

175 06_demo-performing-simple-linear-regression-using-proc-reg.mp4

176 07_question-2-09_quiz.html

177 08_practice-using-proc-reg-to-fit-a-simple-linear-regression-model_quiz.html

181 01_overview.mp4