Business Analytics Specialization

About Course

Business Analytics Specialization, Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making. The courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. A central premise of these courses is that applying targeted subject-matter expertise is crucial in order to frame the correct data problem, collect and analyze data, and to develop and operationalize performance metrics. Each subject area will be followed by an in-depth project-based application and analysis exercise.

Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making
Understanding data modeling and predictive analytics at a high-level
Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio
Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness.

Course Content

01. Introduction to Business Analytics with R

003 01_course-introduction.mp4

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006 02_meet-prof-ron-guymon.mp4

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007 03_syllabus_instructions.html

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008 04_glossary_instructions.html

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009 05_about-the-discussion-forums_instructions.html

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010 06_orientation-quiz_quiz.html

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011 07_online-education-at-gies-college-of-business_instructions.html

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012 01_update-your-profile_instructions.html

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014 02_module-1-readings_instructions.html

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019 03_introduction-to-business-analytics-and-r.mp4

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022 01_overview-of-business-analytics.mp4

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025 02_examples-of-business-analytics.mp4

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028 03_fact-framework.mp4

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031 04_introduction-to-r.mp4

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034 05_getting-started-with-r.mp4

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037 06_calculations-with-r.mp4

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040 07_making-your-code-readable.mp4

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043 08_functions-and-using-the-built-in-help.mp4

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046 09_reading-and-writing-data.mp4

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049 10_module-1-conclusion.mp4

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050 01_module-2-overview_instructions.html

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051 02_module-2-readings_dashboards.html

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058 03_module-2-introduction.mp4

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061 01_is-data-an-asset.mp4

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064 02_properties-of-a-tidy-dataframe.mp4

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067 03_data-dictionaries.mp4

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070 04_getting-to-know-your-data-1-explore-as-in-excel.mp4

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073 05_getting-to-know-your-data-2-referring-to-specific-rows-and-columns.mp4

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076 06_summary-statistics.mp4

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079 07_getting-to-know-your-data-3-summary-statistics-for-each-column-and-quick-plots.mp4

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082 08_fact-framework-tell-others-about-the-results.mp4

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085 09_r-notebooks.mp4

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088 10_markdown.mp4

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091 11_knitting-markdown-files.mp4

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094 12_dashboards-preview.mp4

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097 13_module-2-conclusion.mp4

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098 01_module-3-overview_instructions.html

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099 02_module-3-readings_functions.html

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106 03_module-3-introduction.mp4

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109 01_assembling-data.mp4

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112 02_data-types.mp4

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115 03_more-on-functions.mp4

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118 04_packages.mp4

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121 05_introduction-to-other-data-types.mp4

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124 06_creating-date-types.mp4

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127 07_calculations-with-dates.mp4

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130 08_factors.mp4

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133 09_logical-type-and-relational-operators.mp4

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136 10_character-strings.mp4

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139 11_module-3-conclusion.mp4

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140 01_module-3-peer-reviewed-assignment_peer_assignment_instructions.html

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142 02_module-4-readings_instructions.html

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150 03_module-4-introduction.mp4

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153 01_framing-questions-for-actionable-insight.mp4

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156 02_dataframe-shape-level-of-aggregation.mp4

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159 03_dataframe-control-versus-feasibility.mp4

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162 04_dataframe-shape-wide-versus-long.mp4

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165 05_review-of-notebooks-and-introduction-to-dplyr.mp4

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168 06_subset-data-using-dplyrs-select-and-filter-functions.mp4

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171 07_useful-operators-and-in.mp4

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174 08_using-dplyrs-mutate-rename-relocate-and-distinct-functions.mp4

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177 09_handling-missing-values.mp4

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180 10_data-aggregation-and-summary.mp4

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183 11_pivoting-dataframes-between-wide-and-long-shapes.mp4

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186 12_stacking-and-sorting-data.mp4

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189 13_joining-data.mp4

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192 14_module-4-conclusion.mp4

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193 01_congratulations-on-completing-the-course_instructions.html

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198 02_gies-online-programs.mp4

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199 03_get-your-course-certificate_instructions.html

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204 04_learn-on-your-terms.mp4

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02. Introduction to Business Analytics Communicating with Data

003 01_meet-professor-kevin-hartman.mp4

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004 02_syllabus_instructions.html

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005 03_glossary_instructions.html

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006 04_brand-descriptions_instructions.html

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007 05_about-the-discussion-forums_instructions.html

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008 06_orientation-quiz_quiz.html

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009 07_online-education-at-gies-college-of-business_instructions.html

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010 01_update-your-profile_instructions.html

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012 02_module-1-readings_geeks-in-marketing.html

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018 01_welcome-to-introduction-to-business-analytics-communicating-with-data.mp4

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021 02_module-1-overview.mp4

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024 03_lecture-1-1-studying-the-history-of-dataviz.mp4

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027 04_lecture-1-2-understanding-todays-dataviz-tools.mp4

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030 05_lecture-1-3-making-connections-with-visuals.mp4

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033 06_lecture-1-4-evaluating-the-effectiveness-of-dataviz.mp4

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034 01_pictures-you-see-with-your-brain-quiz_exam.html

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035 02_pictures-you-see-with-your-brain-assignment_peer_assignment_instructions.html

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037 01_module-2-overview_instructions.html

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038 02_module-2-readings_data-visualization-practice.html

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044 01_module-2-overview.mp4

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047 02_lecture-2-1-understanding-the-growth-of-data.mp4

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050 03_lecture-2-2-evaluating-methods-of-data-access.mp4

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053 04_lecture-2-3-focusing-your-communication-journey.mp4

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056 05_lecture-2-4-planning-your-data-story.mp4

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057 01_working-fast-and-thinking-slow-quiz_exam.html

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062 02_module-3-readings_instructions.html

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066 01_module-3-overview.mp4

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069 02_lecture-3-1-finding-patterns-in-data.mp4

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072 03_lecture-3-2-being-planful-when-creating-dataviz.mp4

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075 04_lecture-3-3-understanding-the-components-of-visual-form.mp4

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078 05_lecture-3-4-enriching-content-through-connection.mp4

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079 01_finding-your-data-story-quiz_exam.html

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080 02_finding-your-data-story-peer-review-assignment_peer_assignment_instructions.html

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082 01_module-4-overview_instructions.html

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084 02_module-4-readings_dont-refrain-from-using-uncommon.html

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089 01_module-4-overview.mp4

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092 02_lecture-4-1-creating-inviting-dataviz.mp4

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095 03_lecture-4-2-bringing-sophistication-to-charts.mp4

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098 04_lecture-4-3-improving-chart-legibility.mp4

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101 05_lecture-4-4-presenting-dataviz-with-impact.mp4

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102 01_getting-your-story-across-quiz_exam.html

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104 02_get-your-course-certificate_instructions.html

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109 03_learn-on-your-terms.mp4

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110 01_honors-assignment-2_peer_assignment_instructions.html

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links.txt

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03. Tools for Exploratory Data Analysis in Business

003 01_course-introduction.mp4

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006 02_about-professor-jessen-hobson.mp4

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009 03_about-professor-ronald-guymon.mp4

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010 04_syllabus_instructions.html

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011 05_about-the-discussion-forums_instructions.html

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012 06_orientation-quiz_quiz.html

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013 07_software-for-download_instructions.html

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014 08_online-education-at-gies-college-of-business_instructions.html

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015 01_updating-your-profile_instructions.html

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019 02_module-1-introduction.mp4

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020 03_module-1-transcript_instructions.html

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024 01_turning-business-data-into-business-insights.mp4

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027 02_your-mind-is-the-most-important-tool.mp4

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030 01_analytics-mindset-system-1-vs-system-2.mp4

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036 02_let-the-data-speak.mp4

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039 01_introduction-to-the-course-data-set-teca.mp4

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042 02_data-analytics-modeling-pipeline.mp4

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045 03_business-analytics-key-terms.mp4

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048 01_module-1-conclusion.mp4

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049 02_analytics-mindset-quiz_exam.html

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050 01_module-2-overview_instructions.html

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053 02_module-2-introduction.mp4

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054 03_module-2-transcript_instructions.html

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057 04_files-used-in-videos_instructions.html

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060 01_data.mp4

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063 02_business-problem.mp4

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066 01_introduction-to-power-bi.mp4

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069 02_installing-power-bi.mp4

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072 03_etl-1-examine-data-with-power-query-editor.mp4

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075 04_et2-dates-and-calculated-columns.mp4

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078 05_etl-3-checking-for-and-eliminating-outliers.mp4

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081 06_etl-4-data-models-and-joins.mp4

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084 01_eda-1-univariate-plots-for-numeric-data-histograms-and-boxplots.mp4

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087 02_eda-2-univariate-bivariate-and-multivariate-plots-with-categorical.mp4

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090 03_eda-3-filters-slicers-and-drill-through.mp4

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093 04_eda-4-multivariate-plots-scatter-plots-and-line-plots.mp4

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096 05_eda-5-publishing-a-power-bi-report.mp4

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099 01_module-2-conclusion.mp4

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100 02_etl-and-eda-using-powerbi-quiz_exam.html

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101 01_module-3-overview_instructions.html

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104 02_module-3-introduction.mp4

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105 03_module-3-transcript_instructions.html

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108 04_files-used-in-videos_instructions.html

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124 01_data.mp4

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127 02_business-problem.mp4

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130 01_introduction-to-rstudio.mp4

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133 02_accessing-and-installing-r-and-rstudio.mp4

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136 01_etl-with-rstudio-part-1a-examine-data-and-data-formats.mp4

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139 02_etl-with-rstudio-part-1b-examine-data-and-data-formats.mp4

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142 03_etl-with-rstudio-part-1c-examine-data-and-data-formats.mp4

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145 04_etl-with-rstudio-part-2-date-formats.mp4

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148 05_etl-with-rstudio-part-3-checking-for-and-eliminating-outliers.mp4

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151 06_etl-with-rstudio-part-4a-data-models-and-joins.mp4

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154 07_etl-with-rstudio-part-4b-data-models-and-joins.mp4

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157 01_eda-with-rstudio-part-1a-variable-types-ggplot-ingredients-histogram-of-a.mp4

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160 02_eda-with-rstudio-part-1b-variable-types-ggplot-ingredients-histogram-of-a.mp4

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163 03_eda-with-rstudio-part-2a-scatter-plot-continuous-continuous-bar-column-plot.mp4

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166 04_eda-with-rstudio-part-2b-scatter-plot-continuous-continuous-bar-column-plot.mp4

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169 05_eda-with-rstudio-part-3-grouping-data-summarizing-data-bar-column-plot-discrete.mp4

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172 06_eda-with-rstudio-part-4a-interpreting-realistic-grouped-data-line-plots-bar.mp4

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175 07_eda-with-rstudio-part-4b-interpreting-realistic-grouped-data-line-plots-bar.mp4

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178 01_module-3-conclusion.mp4

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179 02_etl-and-eda-using-rstudio-quiz_exam.html

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180 01_module-4-overview_instructions.html

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183 02_module-4-introduction.mp4

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185 03_files-used-in-videos_instructions.html

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186 04_module-4-transcript_instructions.html

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188 05_download-alteryx_instructions.html

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191 01_data.mp4

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194 02_business-problem.mp4

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197 01_introduction-to-alteryx.mp4

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200 02_installing-and-getting-started-with-alteryx.mp4

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203 03_etl-1-read-in-data-and-examine-data-quality.mp4

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206 04_etl-2-dates-and-calculated-columns.mp4

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209 05_etl-3-outliers.mp4

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212 06_etl-4-missing-values.mp4

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215 07_etl-5-data-joins.mp4

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218 08_etl-6-writing-data-and-organizing-the-workflow.mp4

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221 01_eda-1-using-the-field-summary-tool-to-create-histograms.mp4

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224 02_eda-2-interactive-charts-box-bar-scatter.mp4

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227 03_eda-3-summary-tables.mp4

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230 04_eda-4-saving-plots-and-tables-to-a-report.mp4

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233 01_module-4-conclusion.mp4

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234 02_etl-and-eda-using-alteryx-quiz_exam.html

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236 03_etl-and-eda-using-r-peer-reviewed-assignment_peer_assignment_instructions.html

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239 01_course-conclusion.mp4

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240 02_congratulations-on-completing-the-course_instructions.html

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241 03_get-your-course-certificate_instructions.html

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246 04_learn-on-your-terms.mp4

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04. Machine Learning Algorithms with R in Business Analytics

003 01_course-introduction.mp4

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006 02_about-professor-jessen-hobson.mp4

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009 03_about-professor-ronald-guymon.mp4

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010 04_syllabus_instructions.html

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011 05_about-the-discussion-forums_instructions.html

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012 06_orientation-quiz_quiz.html

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013 07_online-education-at-gies-college-of-business_instructions.html

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014 01_updating-your-profile_instructions.html

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017 02_module-1-readings_index.html

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022 03_module-1-introduction.mp4

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025 01_why-isn-t-eda-enough.mp4

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031 02_data.mp4

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034 03_what-problems-can-regression-answer.mp4

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037 01_correlation.mp4

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040 02_linear-models.mp4

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043 03_simple-regression.mp4

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046 04_residuals-and-predictions.mp4

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049 05_multiple-regression.mp4

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052 06_dummy-variables.mp4

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055 01_module-1-conclusion.mp4

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056 02_module-1-quiz_exam.html

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058 03_module-1-peer-reviewed-assignment_peer_assignment_instructions.html

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059 01_module-2-overview_instructions.html

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060 02_module-2-reading_instructions.html

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066 03_module-2-introduction.mp4

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069 01_inference-prediction-and-experimentation.mp4

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072 02_categories-of-ml-models-part-1-types-of-data-and-terms.mp4

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075 03_categories-of-ml-models-part-2-categories-of-algos.mp4

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078 04_how-machine-learning-works-in-general.mp4

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081 05_evaluating-ml-model-quality.mp4

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084 01_introduce-the-business-problem-to-solve.mp4

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087 02_introduce-the-data.mp4

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090 01_introduction-to-logistic-regression.mp4

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093 02_logistic-regression-hands-on-one-variable-part1.mp4

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096 03_logistic-regression-hands-on-one-variable-part2.mp4

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099 04_logistic-regression-hands-on-one-variable-part3.mp4

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102 05_logistic-regression-hands-on-multiple-variables.mp4

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105 01_module-2-conclusion.mp4

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106 02_module-2-quiz_exam.html

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107 01_module-3-overview_instructions.html

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108 02_module-3-reading_instructions.html

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116 03_module-3-introduction.mp4

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119 01_introduce-the-data.mp4

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122 02_introduction-to-classification.mp4

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125 01_introduce-the-business-problem.mp4

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128 02_introduction-to-k-nearest-neighbors.mp4

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131 03_creating-knn-model-part-1.mp4

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134 04_creating-knn-model-part-2.mp4

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137 05_creating-knn-model-part-3.mp4

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140 01_introduction-to-decision-trees.mp4

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143 02_creating-decision-tree-models.mp4

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146 03_evaluating-results-from-decision-trees.mp4

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149 01_module-3-conclusion.mp4

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150 02_module-3-quiz_exam.html

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151 01_module-4-overview_instructions.html

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154 02_module-4-reading_instructions.html

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160 03_module-4-introduction.mp4

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163 01_introduce-the-data.mp4

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166 02_introduction-to-clustering-and-questions-that-clustering-can-answer.mp4

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169 03_introduce-the-business-problem.mp4

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172 01_introduction-to-k-means-clustering.mp4

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175 02_creating-k-means-clusters.mp4

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178 03_evaluating-k-means-clusters.mp4

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181 01_introduction-to-density-based-clustering.mp4

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184 02_creating-density-based-clusters.mp4

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187 03_evaluating-density-based-clusters.mp4

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190 01_module-4-conclusion.mp4

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191 02_module-4-quiz_exam.html

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194 01_course-conclusion.mp4

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195 02_congratulations-on-completing-the-course_instructions.html

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196 03_get-your-course-certificate_instructions.html

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201 04_learn-on-your-terms.mp4

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05. Applying Data Analytics in Marketing

003 01_course-introduction.mp4

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006 02_instructor-bio-unnati-narang.mp4

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009 03_instructor-bio-joseph-yun.mp4

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010 04_syllabus_instructions.html

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011 05_glossary_degree.html

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013 06_about-the-discussion-forums_instructions.html

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014 07_orientation-quiz_quiz.html

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015 08_online-education-at-gies-college-of-business_instructions.html

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018 09_the-impact-of-the-gies-community.mp4

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019 01_updating-your-profile_instructions.html

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021 02_causal-analysis-readings-files_instructions.html

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025 03_causal-analysis-module-introduction.mp4

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028 01_introduction-to-marketing-analytics-part-1.mp4

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031 02_introduction-to-marketing-analytics-part-2.mp4

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034 03_causal-analysis-overview.mp4

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037 04_causal-analysis-motivating-example-and-key-concepts.mp4

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040 05_causal-analysis-randomized-experiments.mp4

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043 06_causal-analysis-observational-approaches.mp4

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046 01_tour-of-r-and-rstudio.mp4

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049 02_projects.mp4

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052 03_math-function.mp4

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055 04_scalar-variables.mp4

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058 05_column-vectors.mp4

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061 06_data-frame.mp4

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064 07_data-frame-import.mp4

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067 08_help-and-cheat-sheets.mp4

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068 01_causal-analysis-graded-quiz_exam.html

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074 02_survey-analysis-readings-files_instructions.html

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078 03_survey-analysis-module-introduction.mp4

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081 01_introduction-to-customer-satisfaction.mp4

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084 02_psychological-constructs.mp4

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087 03_customer-satisfaction-analysis.mp4

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090 04_statistical-analysis-background-part-1.mp4

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093 05_statistical-analysis-background-part-2.mp4

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096 06_evaluating-airline-survey-data.mp4

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097 01_survey-analysis-graded-quiz_exam.html

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099 02_text-analysis-readings-files_instructions.html

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105 03_text-analysis-module-introduction.mp4

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108 01_analyzing-social-media-attitude-part-1.mp4

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111 02_analyzing-social-media-attitude-part-2.mp4

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114 03_introduction-to-text-summarization.mp4

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117 04_n-gram-frequency-count-and-phrase-mining.mp4

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120 05_lda-topic-modeling-part-1.mp4

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123 06_lda-topic-modeling-part-2.mp4

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124 01_text-analysis-graded-quiz_exam.html

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125 02_text-analysis-peer-review-assignment_peer_assignment_instructions.html

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126 01_module-4-overview_instructions.html

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127 02_network-analysis-readings-files_instructions.html

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132 03_network-analysis-module-introduction.mp4

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135 01_network-analysis-basics.mp4

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138 02_analyzing-influence-with-network-analysis.mp4

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141 03_network-analysis-with-r-part-1.mp4

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144 04_network-analysis-with-r-part-2.mp4

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145 01_network-analysis-graded-quiz_exam.html

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147 02_get-your-course-certificate_instructions.html

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152 03_learn-on-your-terms.mp4

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links.txt

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06. Applying Data Analytics in Accounting

003 01_course-introduction.mp4

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006 02_about-professor-jessen-hobson.mp4

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007 03_syllabus_instructions.html

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008 04_about-the-discussion-forums_instructions.html

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009 05_orientation-quiz_quiz.html

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010 06_online-education-at-gies-college-of-business_instructions.html

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013 07_the-impact-of-the-gies-community.mp4

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014 01_updating-your-profile_instructions.html

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017 02_survey-of-analytics-topics-in-accounting-readings-files_instructions.html

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020 03_survey-of-analytics-topics-in-accounting-introduction.mp4

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023 01_accounting-is-the-language-of-business.mp4

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026 02_basics-of-accounting-and-key-accounting-terms.mp4

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029 03_basics-of-accounting-and-key-accounting-terms-2.mp4

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032 04_academic-research-in-accounting.mp4

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041 07_technology-in-managerial-accounting.mp4

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044 08_cybersecurity.mp4

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050 10_blockchain-for-accounting-1.mp4

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053 11_blockchain-for-accounting-2.mp4

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056 01_survey-of-analytics-topics-in-accounting-conclusion.mp4

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057 02_survey-of-analytics-topics-in-accounting-graded-quiz_exam.html

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058 01_module-2-overview_instructions.html

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061 02_controls-and-auditing-readings-files_instructions.html

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065 03_controls-and-auditing-introduction.mp4

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068 01_audit-technology-overview.mp4

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071 02_reporting-pressures-earnings-management-and-reporting-fraud.mp4

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074 03_the-fraud-triangle-and-employee-fraud.mp4

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077 04_need-for-controls-definition-of-controls-introduction-of-internal-audit.mp4

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080 05_introduction-to-the-case.mp4

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083 06_screen-shot-solutions-in-alteryx-etl-part-1.mp4

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086 07_screen-shot-solutions-in-alteryx-etl-part-2.mp4

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104 13_screen-shot-solutions-in-rstudio-etl-eda-control-tests-part-2.mp4

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110 15_installing-and-getting-started-with-alteryx.mp4

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113 16_accessing-and-installing-r-and-rstudio.mp4

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116 01_controls-and-auditing-conclusion.mp4

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117 02_controls-and-auditing-graded-quiz_exam.html

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120 02_text-processing-and-analysis-in-accounting-readings-files_instructions.html

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124 03_text-processing-and-analysis-in-accounting-introduction.mp4

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127 01_definitions-for-text-analysis-and-nlp-natural-language-processing.mp4

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130 02_text-analysis-in-financial-and-tax-accounting-part-1.mp4

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133 03_text-analysis-in-financial-and-tax-accounting-part-2.mp4

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139 05_case-introduction.mp4

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142 06_nlp-with-conference-calls-part-1.mp4

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148 08_nlp-with-conference-calls-part-3.mp4

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154 01_text-processing-and-analysis-in-accounting-conclusion.mp4

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156 01_module-4-overview_instructions.html

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159 02_robot-process-automation-in-accounting-readings-files_instructions.html

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162 03_robot-process-automation-in-accounting-introduction.mp4

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165 01_introduction-to-automation.mp4

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168 02_introduction-to-rpa.mp4

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171 03_the-effect-of-rpa-on-accounting.mp4

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174 04_introduction-to-uipath.mp4

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177 05_hands-on-rpa-scraping-1.mp4

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200 02_congratulations-on-completing-the-course_instructions.html

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201 03_get-your-course-certificate_instructions.html

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206 04_learn-on-your-terms.mp4

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What Will You Learn?

Course Content

01. Introduction to Business Analytics with R

003 01_course-introduction.mp4

006 02_meet-prof-ron-guymon.mp4

007 03_syllabus_instructions.html

008 04_glossary_instructions.html

009 05_about-the-discussion-forums_instructions.html

010 06_orientation-quiz_quiz.html

011 07_online-education-at-gies-college-of-business_instructions.html

012 01_update-your-profile_instructions.html

014 02_module-1-readings_instructions.html

019 03_introduction-to-business-analytics-and-r.mp4

022 01_overview-of-business-analytics.mp4

025 02_examples-of-business-analytics.mp4

028 03_fact-framework.mp4

031 04_introduction-to-r.mp4

034 05_getting-started-with-r.mp4

037 06_calculations-with-r.mp4

040 07_making-your-code-readable.mp4

043 08_functions-and-using-the-built-in-help.mp4

046 09_reading-and-writing-data.mp4

049 10_module-1-conclusion.mp4

050 01_module-2-overview_instructions.html

051 02_module-2-readings_dashboards.html

058 03_module-2-introduction.mp4

061 01_is-data-an-asset.mp4

064 02_properties-of-a-tidy-dataframe.mp4

067 03_data-dictionaries.mp4

070 04_getting-to-know-your-data-1-explore-as-in-excel.mp4

073 05_getting-to-know-your-data-2-referring-to-specific-rows-and-columns.mp4

076 06_summary-statistics.mp4

079 07_getting-to-know-your-data-3-summary-statistics-for-each-column-and-quick-plots.mp4

082 08_fact-framework-tell-others-about-the-results.mp4

085 09_r-notebooks.mp4

088 10_markdown.mp4

091 11_knitting-markdown-files.mp4

094 12_dashboards-preview.mp4

097 13_module-2-conclusion.mp4

098 01_module-3-overview_instructions.html

099 02_module-3-readings_functions.html

106 03_module-3-introduction.mp4

109 01_assembling-data.mp4

112 02_data-types.mp4

115 03_more-on-functions.mp4

118 04_packages.mp4

121 05_introduction-to-other-data-types.mp4

124 06_creating-date-types.mp4

127 07_calculations-with-dates.mp4

130 08_factors.mp4

133 09_logical-type-and-relational-operators.mp4

136 10_character-strings.mp4

139 11_module-3-conclusion.mp4

140 01_module-3-peer-reviewed-assignment_peer_assignment_instructions.html

142 02_module-4-readings_instructions.html

150 03_module-4-introduction.mp4

153 01_framing-questions-for-actionable-insight.mp4

156 02_dataframe-shape-level-of-aggregation.mp4

159 03_dataframe-control-versus-feasibility.mp4

162 04_dataframe-shape-wide-versus-long.mp4

165 05_review-of-notebooks-and-introduction-to-dplyr.mp4

168 06_subset-data-using-dplyrs-select-and-filter-functions.mp4

171 07_useful-operators-and-in.mp4

174 08_using-dplyrs-mutate-rename-relocate-and-distinct-functions.mp4

177 09_handling-missing-values.mp4

180 10_data-aggregation-and-summary.mp4

183 11_pivoting-dataframes-between-wide-and-long-shapes.mp4

186 12_stacking-and-sorting-data.mp4

189 13_joining-data.mp4

192 14_module-4-conclusion.mp4

193 01_congratulations-on-completing-the-course_instructions.html

198 02_gies-online-programs.mp4

199 03_get-your-course-certificate_instructions.html

204 04_learn-on-your-terms.mp4

02. Introduction to Business Analytics Communicating with Data

003 01_meet-professor-kevin-hartman.mp4

004 02_syllabus_instructions.html

005 03_glossary_instructions.html

006 04_brand-descriptions_instructions.html