• U: Anonymous
  • D: 2022-03-18 17:14:42
  • C: Unknown

RELEASE >

ReScene version pyReScene Auto 0.7 XQZT File size CRC
Download
33,978
Stored files
585 6BAA4166
27,752 609C1D79
400 B8F4C78D
RAR-files
linkedin.learning.data.cleaning.in.python.essential.training-xqzt.rar 50,000,000 7E1FCB43
linkedin.learning.data.cleaning.in.python.essential.training-xqzt.r00 50,000,000 E2F78212
linkedin.learning.data.cleaning.in.python.essential.training-xqzt.r01 50,000,000 32383CD2
linkedin.learning.data.cleaning.in.python.essential.training-xqzt.r02 50,000,000 A808F0C5
linkedin.learning.data.cleaning.in.python.essential.training-xqzt.r03 8,813,756 710A874A

Total size: 208,813,756
Archived files
01.01-why_is_clean_data_important.mkv [3065c3eba191a00c] 6,498,504 035340B5
01.02-what_you_should_know.mkv [6635cd35c30d36b5] 2,615,321 13D7D625
02.01-types_of_errors.mkv [1a391b8b99750f9d] 2,586,001 FD88F064
02.02-missing_values.mkv [a6647d820134dda2] 9,032,675 03188A89
02.03-bad_values.mkv [abf1d0b91890ce6a] 15,095,076 2A8632EA
02.04-duplicates.mkv [6c3185badd373bda] 6,267,232 9B5CA822
03.01-human_errors.mkv [9e712b6f680367fa] 3,565,438 33C7AB21
03.02-machine_errors.mkv [a6c6397f44f7fde] 4,699,654 E1902D29
03.03-design_errors.mkv [30ba89753ae4c7c9] 5,045,637 BA561127
03.04-challenge_ui_design.mkv [1535b157961aba5e] 687,585 B9348853
03.05-solution_ui_design.mkv [d85cedae50c1e39b] 1,688,010 30BD7F2E
04.01-schemas.mkv [c51ca8d3eecc322e] 8,418,667 245ABE5E
04.02-validation.mkv [d8ab527e010702c7] 6,212,379 A3179427
04.03-finding_missing_data.mkv [20b148811e8594f1] 11,341,430 1D25112D
04.04-domain_knowledge.mkv [c377a27da906b577] 3,276,499 4F8B910F
04.05-subgroups.mkv [8426293bf25d5974] 3,887,974 9DA60FC2
04.06-challenge_find_bad_data.mkv [ceaafae2218db966] 1,283,066 AE26CE25
04.07-solution_find_bad_data.mkv [ebcc6758a44ba8b5] 4,153,928 5882AEB6
05.01-serialization_formats.mkv [587df9b1841f0eb6] 10,290,864 AEA3612C
05.02-digital_signatures.mkv [49f15dfca4066f28] 8,908,105 77249C2A
05.03-data_pipelines_and_automation.mkv [ebf67f703a4a534f] 9,659,203 115709C2
05.04-transactions.mkv [338a923e880d320f] 10,012,359 57909BF3
05.05-data_organization_and_tidy_data.mkv [14c88cd95cb87a80] 4,365,466 CE422896
05.06-process_and_data_quality_metrics.mkv [176dc6b3c3e28b83] 7,515,846 383C9957
05.07-challenge_etl.mkv [9631748296c7bdf8] 3,134,718 94322CA0
05.08-solution_etl.mkv [8f4973328c33b503] 8,049,435 30EC672C
06.01-renaming_fields.mkv [fe21d98a063dd64b] 6,434,188 463B5EE0
06.02-fixing_types.mkv [639773d53bd58449] 4,359,882 8B1DE2B0
06.03-joining_and_splitting_data.mkv [7bf079cdc3432dcf] 7,942,353 EF85E6F1
06.04-deleting_bad_data.mkv [fcf9fc968952db94] 3,584,987 2A829815
06.05-filling_missing_values.mkv [4a6db8e54c4620f6] 7,788,843 D68CF026
06.06-reshaping_data.mkv [9226503e5e99f02a] 4,397,455 4E037E1A
06.07-challenge_workshop_earnings.mkv [b196efcd9974bf5a] 2,210,477 0AB4BF58
06.08-solution_workshop_earnings.mkv [3faf7223272ed11c] 10,860,988 CF282D3C
07.01-next_steps.mkv [c86c4116ce74bf6c] 2,940,788 4427D01D

Total size: 208,811,033
Video files
Sample
linkedin.learning.data.cleaning.in.python.essential.training-xqzt-sample.mkv 6,487,486 2E2772EB
RAR Recovery
Not Present
Labels UNKNOWN