|
RAR-files |
| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.rar |
200,000,000 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r00 |
200,000,000 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r01 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r02 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r03 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r04 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r05 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r06 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r07 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r08 |
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| linkedin.learning.power.bi.integrating.ai.and.machine.learning-xqzt.r09 |
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| Total size: |
2,002,964,674 |
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|
| Archived
files |
|
01.01-the_power_of_power_bi.mkv
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|
4,759,289 |
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|
01.02-what_you_should_know.mkv
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|
2,555,552 |
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|
01.03-overviewing_ai_and_machine_learning_types.mkv
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6,393,782 |
7349A80A |
|
01.04-defining_dimensionality.mkv
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|
3,335,056 |
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|
01.05-utilizing_the_power_bi_ecosystem_and_azure.mkv
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|
4,732,448 |
1D8E4B1E |
|
01.06-configuring_r_in_power_bi_desktop.mkv
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|
8,366,149 |
218B9576 |
|
01.07-introducing_the_course_project.mkv
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|
8,090,985 |
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|
02.01-utilizing_ai_in_the_etl_framework.mkv
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|
16,087,843 |
2F3C0220 |
|
02.02-configuring_parameters.mkv
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17,927,678 |
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|
02.03-analyzing_dataset_statistics_and_distributions.mkv
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|
12,653,416 |
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02.04-configuring_separate_error_logs_for_existing_datasets.mkv
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19,255,016 |
38EC892B |
|
02.05-running_vision_algorithms.mkv
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|
13,545,252 |
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|
02.06-utilizing_text_analytics_algorithms.mkv
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|
11,651,890 |
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02.07-leveraging_ai_and_the_star_schema.mkv
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19,175,483 |
1C8F9FCC |
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02.08-adjusting_datetime_fields_for_lags.mkv
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|
16,566,197 |
67CF7506 |
|
03.01-configurating_aggregations_and_dimensionality.mkv
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16,562,672 |
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03.02-filtering_options.mkv
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19,918,325 |
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03.03-calculating_dax_measures.mkv
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19,901,785 |
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03.04-challenge_single_variable.mkv
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4,566,122 |
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03.05-calculating_rolling_averages.mkv
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21,141,269 |
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03.06-utilizing_binning_to_create_histograms.mkv
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15,527,318 |
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03.07-summarizing_statistics.mkv
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|
15,746,747 |
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|
03.08-splitting_a_category_with_small_multiples.mkv
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|
7,871,816 |
0FDBD114 |
|
03.09-leveraging_violin_plots.mkv
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|
13,122,652 |
29B8FFB5 |
|
03.10-solution_single_variable.mkv
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|
11,009,262 |
9813AB5D |
|
04.01-visualizing_relationships_with_scatter_plots.mkv
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|
16,809,920 |
4FB6DBE9 |
|
04.02-accessing_the_analytics_pane.mkv
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|
13,103,297 |
BF94DCB3 |
|
04.03-calculating_correlations.mkv
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|
20,164,078 |
783B294C |
|
04.04-visualizing_correlations.mkv
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22,310,769 |
99224DB3 |
|
04.05-adding_clustering_to_existing_visuals.mkv
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|
14,082,224 |
C43E29E8 |
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04.06-calculating_best_fit_line.mkv
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|
32,584,703 |
FA4D048D |
|
04.07-utilizing_the_outlier_detection_visual.mkv
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|
13,885,536 |
406B4806 |
|
04.08-calculating_outliers.mkv
[ff5d2839ee6fca6]
|
12,338,843 |
EEFA8D72 |
|
04.09-contextualizing_outliers.mkv
[bfe250d496845ab1]
|
8,493,037 |
7F564F07 |
|
04.10-challenge_multiple_variables.mkv
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|
1,520,013 |
31E8018A |
|
04.11-solution_multiple_variables.mkv
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|
14,145,852 |
CA1DCFF0 |
|
05.01-determining_key_drivers_with_decomposition_tree_visual.mkv
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|
12,172,214 |
B2E4C414 |
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05.02-leveraging_the_qanda_visual.mkv
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|
15,427,199 |
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05.03-discovering_key_insights_with_the_key_influencer_visual.mkv
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|
9,836,222 |
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05.04-utilizing_parameters_to_model_what-if_scenarios.mkv
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|
17,805,481 |
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|
05.05-challenge_ai_visuals.mkv
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|
1,285,460 |
63B299CE |
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05.06-solution_ai_visuals.mkv
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|
11,293,353 |
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|
06.01-organizing_time_series_analysis.mkv
[c0efb7794c0138f5]
|
19,754,274 |
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|
06.02-adding_forecasting_from_the_analytics_pane.mkv
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|
6,399,069 |
14168127 |
|
06.03-leveraging_anomaly_detection.mkv
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|
23,639,489 |
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06.04-utilizing_arima_forecasting.mkv
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|
10,397,979 |
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06.05-incorporating_seasonality_through_tbats_forecasting.mkv
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|
16,034,946 |
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06.06-analyzing_predictions_vs._actuals.mkv
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24,864,186 |
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06.07-challenge_time_series_analysis.mkv
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1,811,122 |
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06.08-solution_time_series_analysis.mkv
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|
4,854,062 |
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07.01-designing_a_consolidated_view_for_sharing.mkv
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|
17,403,920 |
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07.02-uploading_and_sharing_in_the_power_bi_service.mkv
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|
10,918,565 |
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|
07.03-configuring_quick_insights.mkv
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10,500,614 |
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07.04-challenge_shared_view.mkv
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2,752,493 |
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07.05-solution_shared_view.mkv
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|
9,195,820 |
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|
08.01-how_to_learn_ml_and_ai_in_power_bi.mkv
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|
1,837,439 |
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|
Ex_Files_Power_BI_AI_and_Machine_Learning.zip |
1,294,872,776 |
24AD2BBC |
|
| Total size: |
2,002,958,959 |
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|
