download скачать Free download скачать : Coursera - Introduction to Business Analytics with R
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.45 GB

Files Included :

01 course-introduction.mp4 (15.67 MB)
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02 meet-prof-ron-guymon.mp4 (17.79 MB)
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03 introduction-to-business-analytics-and-r.mp4 (29.48 MB)
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01 overview-of-business-analytics.mp4 (16.09 MB)
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02 examples-of-business-analytics.mp4 (24.3 MB)
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03 fact-framework.mp4 (29.28 MB)
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04 introduction-to-r.mp4 (24.25 MB)
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05 getting-started-with-r.mp4 (17.84 MB)
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06 calculations-with-r.mp4 (24.45 MB)
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07 making-your-code-readable.mp4 (9.57 MB)
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08 functions-and-using-the-built-in-help.mp4 (26.11 MB)
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09 reading-and-writing-data.mp4 (56.1 MB)
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10 module-1-conclusion.mp4 (7.98 MB)
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03 module-2-introduction.mp4 (11.65 MB)
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01 is-data-an-asset.mp4 (21.05 MB)
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02 properties-of-a-tidy-dataframe.mp4 (15.48 MB)
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03 data-dictionaries.mp4 (22.21 MB)
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04 getting-to-know-your-data-1-explore-as-in-excel.mp4 (13.75 MB)
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05 getting-to-know-your-data-2-referring-to-specific-rows-and-columns.mp4 (19.96 MB)
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06 summary-statistics.mp4 (26.67 MB)
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07 getting-to-know-your-data-3-summary-statistics-for-each-column-and-quick-plots.mp4 (17.42 MB)
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08 fact-framework-tell-others-about-the-results.mp4 (23.19 MB)
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09 r-notebooks.mp4 (43.84 MB)
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10 markdown.mp4 (40.28 MB)
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11 knitting-markdown-files.mp4 (60.97 MB)
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12 dashboards-preview.mp4 (56.2 MB)
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13 module-2-conclusion.mp4 (10.73 MB)
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03 module-3-introduction.mp4 (10.7 MB)
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01 assembling-data.mp4 (32.77 MB)
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02 data-types.mp4 (17.82 MB)
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03 more-on-functions.mp4 (53.06 MB)
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04 packages.mp4 (43.09 MB)
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05 introduction-to-other-data-types.mp4 (31.24 MB)
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06 creating-date-types.mp4 (29.25 MB)
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07 calculations-with-dates.mp4 (31.01 MB)
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08 factors.mp4 (35.13 MB)
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09 logical-type-and-relational-operators.mp4 (31.01 MB)
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10 character-strings.mp4 (63.97 MB)
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11 module-3-conclusion.mp4 (11.38 MB)
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03 module-4-introduction.mp4 (15.6 MB)
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01 framing-questions-for-actionable-insight.mp4 (29.34 MB)
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02 dataframe-shape-level-of-aggregation.mp4 (10.7 MB)
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03 dataframe-control-versus-feasibility.mp4 (13.56 MB)
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04 dataframe-shape-wide-versus-long.mp4 (13 MB)
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05 review-of-notebooks-and-introduction-to-dplyr.mp4 (25.37 MB)
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06 subset-data-using-dplyrs-select-and-filter-functions.mp4 (27.68 MB)
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07 useful-operators-and-in.mp4 (32.97 MB)
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08 using-dplyrs-mutate-rename-relocate-and-distinct-functions.mp4 (47.04 MB)
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09 handling-missing-values.mp4 (33.13 MB)
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10 data-aggregation-and-summary.mp4 (17.43 MB)
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11 pivoting-dataframes-between-wide-and-long-shapes.mp4 (30.22 MB)
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12 stacking-and-sorting-data.mp4 (39.76 MB)
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13 joining-data.mp4 (35.87 MB)
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14 module-4-conclusion.mp4 (12.37 MB)
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02 gies-online-programs.mp4 (30.65 MB)
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04 learn-on-your-terms.mp4 (2.32 MB)
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