RAR-files |
linkedin.learning.learning.data.analytics.1.foundations-xqzt.rar |
100,000,000 |
81DE05F8 |
linkedin.learning.learning.data.analytics.1.foundations-xqzt.r00 |
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linkedin.learning.learning.data.analytics.1.foundations-xqzt.r01 |
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linkedin.learning.learning.data.analytics.1.foundations-xqzt.r02 |
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linkedin.learning.learning.data.analytics.1.foundations-xqzt.r03 |
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linkedin.learning.learning.data.analytics.1.foundations-xqzt.r04 |
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linkedin.learning.learning.data.analytics.1.foundations-xqzt.r05 |
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linkedin.learning.learning.data.analytics.1.foundations-xqzt.r06 |
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linkedin.learning.learning.data.analytics.1.foundations-xqzt.r08 |
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linkedin.learning.learning.data.analytics.1.foundations-xqzt.r09 |
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Total size: |
1,016,955,039 |
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Archived
files |
01.01-beginning_your_data_analysis_journey.mkv
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19,409,744 |
B30820B5 |
01.02-what_you_should_know.mkv
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|
1,081,871 |
0802ED49 |
01.03-using_the_exercise_files.mkv
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791,843 |
C6122150 |
02.01-defining_data_analysis_and_data_analyst.mkv
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|
8,328,234 |
04A57D5A |
02.02-discovering_if_you_are_an_analyst.mkv
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|
19,542,308 |
8752E82F |
02.03-organizational_roles_in_data.mkv
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|
14,807,527 |
680795DC |
02.04-understanding_types_of_data_job_roles.mkv
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|
21,330,958 |
33B777CF |
02.05-discovering_skills_of_the_data_analyst.mkv
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|
12,452,229 |
CD0184E7 |
03.01-learning_to_identify_data.mkv
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|
31,307,942 |
E2206243 |
03.02-learning_about_data_fields_and_types.mkv
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|
19,602,731 |
7114B886 |
03.03-dealing_with_the_data_you_dont_have.mkv
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13,300,655 |
DF901FF4 |
03.04-learning_syntax.mkv
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19,401,888 |
CAC877FE |
03.05-learning_basic_sql_statements.mkv
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20,144,939 |
75898CE1 |
03.06-challenge_reading_sql.mkv
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5,358,797 |
455387F2 |
03.07-solution_reading_sql.mkv
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4,201,619 |
B0A88E66 |
04.01-learning_to_interpret_existing_data.mkv
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8,014,991 |
C2232494 |
04.02-finding_existing_data.mkv
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28,828,245 |
06D06894 |
04.03-cleaning_data.mkv
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6,284,880 |
FBE8610D |
04.04-understanding_data_and_workflow.mkv
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25,199,612 |
BEB8BFDD |
04.05-understanding_joins.mkv
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15,937,074 |
04B3691F |
04.06-working_with_joins_and_validation.mkv
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23,774,963 |
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04.07-challenge_products_are_not_categorized.mkv
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1,925,949 |
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04.08-solution_products_are_not_categorized.mkv
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8,163,579 |
C1DF3B41 |
05.01-getting_started_with_data_projects.mkv
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19,869,910 |
05CF5261 |
05.02-discovering_common_beginner_mistakes.mkv
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|
19,012,333 |
9C06709B |
05.03-learning_excel_datasets.mkv
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27,394,075 |
0522102C |
05.04-learning_database_datasets.mkv
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18,089,735 |
23F75B2D |
05.05-maintaining_original_data.mkv
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23,265,073 |
2B9F37A9 |
05.06-understanding_truths.mkv
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14,344,216 |
B2B8E622 |
06.01-learning_about_data_governance.mkv
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32,188,729 |
1ECC31E9 |
06.02-understanding_source_data.mkv
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8,347,592 |
19AC9F32 |
06.03-working_with_flat_files.mkv
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25,462,258 |
AE971F09 |
06.04-working_with_connections.mkv
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14,545,421 |
D264AB1A |
06.05-creating_datasets_for_others.mkv
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27,014,708 |
C3C96EF4 |
07.01-understanding_etl_in_data.mkv
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|
13,197,777 |
261D208C |
07.02-cleaning_data_using_excel_macros.mkv
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|
25,187,747 |
8FDDF8A9 |
07.03-cleaning_data_with_power_query.mkv
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|
21,782,896 |
C013C9F0 |
07.04-working_with_reusable_data.mkv
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14,063,836 |
654E35C3 |
07.05-modeling_data_with_queries.mkv
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33,318,746 |
22EE3E37 |
07.06-modeling_data_in_power_query.mkv
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|
30,679,402 |
B81C0139 |
07.07-challenge_rename_headers_in_power_query.mkv
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|
2,153,265 |
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07.08-solution_rename_headers_in_power_query.mkv
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19,557,465 |
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08.01-convert_data_in_power_query.mkv
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16,615,936 |
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08.02-finding_and_removing_duplicates.mkv
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30,164,349 |
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08.03-changing_case_and_replace_values.mkv
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12,511,998 |
162400B0 |
08.04-combining_data_with_merge_columns.mkv
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15,695,815 |
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08.05-creating_logical_functions.mkv
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10,385,525 |
D4E33556 |
08.06-building_aggregate_datasets.mkv
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16,349,574 |
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08.07-challenge_count_and_amounts_of_products.mkv
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1,628,246 |
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08.08-solution_count_and_amounts_of_products.mkv
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12,073,992 |
FEFA6D6F |
09.01-more_resources_for_your_learning_data_analytics_journey.mkv
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5,274,943 |
955313AC |
Ex_Files_Data_Analytics.zip |
177,581,755 |
9857BC91 |
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Total size: |
1,016,949,895 |
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