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Full Stack Data Analyst A Z BootCamp

Torrent Info
Category Other
Added Saturday 1st July 2023 05:42:32 PM (3 years ago)
Size5.0 GB
Peers3 Peers (2 Seeders and 1 leechers) update
Downloaded188 times
Uploadertutsnode  Thank You  (0) Report Torrent 00/0
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Tags English
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Leechers1
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Torrent Files (406)
FilenameSize
001 Structure data for optimum usage.mp4159.2 MB
TutsNode.com.txt63 bytes
001 IMPORTANT NOTE.html531 bytes
002 Uber Loading Dataset and Preparation_en.srt30.9 KB
002 working with Identifiers in Python_en.srt21.4 KB
001 Structure data for optimum usage_en.srt19.9 KB
002 Converting lists to tables_en.srt18.5 KB
001 Sorting concepts and sort menu options_en.srt18.1 KB
005 variables in python_en.srt14.4 KB
001 Using Advanced Filter for complex OR criteria_en.srt14.1 KB
001 Introduction_en.srt1000 bytes
[TGx]Downloaded from torrentgalaxy.to .txt585 bytes
008 defining input functions in python_en.srt13.0 KB
004 performing bitwise manipulations of data in python_en.srt12.0 KB
003 Using an array formula to count the number of unique items in a list_en.srt11.9 KB
003 performing logic in python_en.srt11.8 KB
003 Write Comments in python_en.srt11.7 KB
002 Sorting from menu icons_en.srt11.6 KB
006 Naming Python Variables_en.srt11.4 KB
008 Use date functions with WHERE_en.srt11.3 KB
002 Expanding and collapsing with grouping and outlining symbols_en.srt11.3 KB
003 Visualise your database_en.srt11.0 KB
002 Use functions_en.srt10.9 KB
006 More advanced string functions_en.srt10.6 KB
004 Sorting based on the order of data in custom lists_en.srt10.2 KB
002 Understand SQL Indexes and keys_en.srt9.8 KB
002 Using Advanced Filter for specialized filters_en.srt9.3 KB
005 Use string functions on your data_en.srt8.7 KB
001 Single and multiple-column filtering_en.srt8.4 KB
002 Accessing Related Tables_en.srt8.4 KB
001 Installing on Windows_en.srt8.4 KB
006 Filtering Data_en.srt8.2 KB
002 The SELECT Function_en.srt8.1 KB
003 Multiple-key sorting_en.srt7.9 KB
003 Use procedures_en.srt7.9 KB
001 Setting up single and multiple-level subtotals_en.srt7.7 KB
002 Using a specialized array formula to identify data that's been duplicated_en.srt7.7 KB
003 Use LIKE, IN, and wildcards with WHERE_en.srt7.6 KB
006 Uber Analysis Of Purpose Of Trips_en.srt7.6 KB
005 Sorting by cell color, font color, or cell icon_en.srt7.5 KB
009 importing libraries in python_en.srt7.5 KB
005 Using the Top Ten (value or percent) option_en.srt7.5 KB
003 De-duplicate with SELECT DISTINCT_en.srt7.4 KB
003 The SELECT Statement_en.srt7.3 KB
001 Use GROUP BY with count_en.srt7.3 KB
002 Raw_en.srt7.3 KB
005 Overview_en.srt7.3 KB
001 Embedding SQL_en.srt7.2 KB
001 Use variables_en.srt7.2 KB
001 Retrieve data with SELECT_en.srt7.1 KB
006 Text 2_en.srt6.9 KB
002 Defining Data Analysis_en.srt6.8 KB
001 Introduction_en.srt6.7 KB
005 Uber Analysis Of Hot Hour Of Trips_en.srt6.6 KB
002 Filter results with WHERE clause_en.srt6.6 KB
002 The NULL Value_en.srt6.6 KB
003 Using Advanced Filter to create unique lists from repeating field data_en.srt6.5 KB
001 Exercise Files.html203 bytes
004 Merge data across tables with JOINS_en.srt6.4 KB
002 Understanding SQL_en.srt1.5 KB
003 Using date filters_en.srt6.4 KB
003 How to use the Exercise files_en.srt1.2 KB
external-assets-links.txt109 bytes
003 Relating Multiple Tables_en.srt6.4 KB
004 Key Players in the Data Ecosystem_en.srt6.3 KB
001 What are Aggregates_en.srt6.2 KB
006 Combine rows with SQL UNION_en.srt6.1 KB
005 assigning variables in python_en.srt6.0 KB
004 working with strings in python_en.srt5.9 KB
006 Creating custom filters_en.srt5.9 KB
005 Understand SQL JOINS_en.srt5.9 KB
003 Constraining Columns_en.srt5.8 KB
001 Automating Data With Triggers_en.srt5.7 KB
002 Filter grouped results with HAVING_en.srt5.5 KB
005 Counting Rows_en.srt2.5 KB
002 Preventing Updates_en.srt5.4 KB
006 Deleting Data_en.srt1.5 KB
003 Modern Data Ecosystem_en.srt5.4 KB
004 Using numeric filters_en.srt5.4 KB
002 Get familiar with phpMyAdmin_en.srt5.4 KB
002 Using text filters_en.srt5.4 KB
001 Using the Remove Duplicates command_en.srt5.3 KB
004 Exporting_en.srt5.3 KB
001 About SQL_en.srt5.1 KB
002 Data Integrity_en.srt5.1 KB
010 Uber Analysis Of Starting Point Of Trips_en.srt5.0 KB
003 INSERT, UPDATE and DELETE Functions_en.srt4.9 KB
007 assigning members in python_en.srt4.8 KB
003 Example Timestamps_en.srt4.5 KB
005 ID Columns_en.srt4.4 KB
007 Saving & Exporting_en.srt4.4 KB
003 Selecting Part Of A String_en.srt4.4 KB
001 Numeric Types_en.srt4.2 KB
008 Ordering Output_en.srt4.4 KB
001 Inserting Rows_en.srt4.0 KB
007 Sorting data in random order_en.srt4.0 KB
007 Defining output Function_en.srt3.8 KB
003 Text_en.srt3.8 KB
008 Select from a selection with subqueries_en.srt3.8 KB
002 Searching Within A Result Set_en.srt3.8 KB
002 Database Organisation_en.srt3.8 KB
007 Removing Duplicates_en.srt3.8 KB
001 About SQL Strings_en.srt2.2 KB
001 Creating a Subselect_en.srt3.7 KB
002 Finding The Length Of A String_en.srt2.4 KB
003 Performance_en.srt3.7 KB
006 Sorting columns (sorting left-to-right)_en.srt3.6 KB
001 Addition of Data points Python_en.srt3.5 KB
004 Removing Spaces_en.srt2.1 KB
003 Uber Analysis Of Categories Of Trips_en.srt3.5 KB
007 Change report headings with alias_en.srt3.5 KB
004 Creating a Joined View_en.srt3.4 KB
009 Conditional Expressions_en.srt3.2 KB
004 Selecting Rows_en.srt3.2 KB
004 Changing A Schema_en.srt3.2 KB
001 Understanding JOIN_en.srt3.2 KB
003 Integer Division_en.srt2.6 KB
008 Uber Analysis Of Number Of Trips Per Day_en.srt3.1 KB
004 Rounding Numbers_en.srt1.5 KB
005 Folding Case_en.srt3.1 KB
001 Date and Times_en.srt2.8 KB
002 What Type is That Value_en.srt3.1 KB
002 Date and Time Related Functions_en.srt2.8 KB
004 Merge rows with GROUP BY_en.srt3.1 KB
006 assigning special variables in python_en.srt3.0 KB
007 Merge data across tables with IN_en.srt3.0 KB
002 Using Aggregate Functions_en.srt1.6 KB
002 Comparing Strings and variables in Python_en.srt2.9 KB
003 Aggregating DISTINCT Values_en.srt2.4 KB
001 What are Transactions_en.srt2.7 KB
003 Creating a View_en.srt2.7 KB
007 Uber Analysis Of Day With Highest Number Of Trips_en.srt2.6 KB
009 Uber Analysis Of Number Of In The Month_en.srt2.4 KB
001 Make your queries faster_en.srt2.4 KB
004 Sort SQL results with ORDER BY_en.srt2.2 KB
004 Uber Analysis Of Length Of Trips_en.srt2.2 KB
003 Understand the demo database_en.srt2.1 KB
001 Introduction_en.srt1.8 KB
001 Introduction_en.srt1.5 KB
001 Introduction_en.srt917 bytes
028.9 KB
002 Converting lists to tables.mp4154.9 MB
154.3 KB
002 Uber Loading Dataset and Preparation.mp4150.4 MB
2614.8 KB
001 Sorting concepts and sort menu options.mp4139.9 MB
3138.8 KB
001 Using Advanced Filter for complex OR criteria.mp4105.6 MB
4363.5 KB
002 working with Identifiers in Python.mp496.3 MB
5675.6 KB
002 Sorting from menu icons.mp494.1 MB
6875.5 KB
008 Use date functions with WHERE.mp492.0 MB
71006.6 KB
002 Expanding and collapsing with grouping and outlining symbols.mp488.4 MB
8605.6 KB
006 More advanced string functions.mp486.8 MB
9245.0 KB
002 Understand SQL Indexes and keys.mp480.4 MB
10628.5 KB
004 Sorting based on the order of data in custom lists.mp476.3 MB
11678.0 KB
005 Sorting by cell color, font color, or cell icon.mp471.4 MB
12580.6 KB
003 Using an array formula to count the number of unique items in a list.mp470.3 MB
13760.9 KB
003 Multiple-key sorting.mp468.1 MB
14871.2 KB
001 Single and multiple-column filtering.mp467.5 MB
15531.0 KB
005 Use string functions on your data.mp466.7 MB
16265.3 KB
003 De-duplicate with SELECT DISTINCT.mp463.8 MB
17204.6 KB
002 Using a specialized array formula to identify data that's been duplicated.mp461.2 MB
18796.8 KB
006 Filtering Data.mp461.2 MB
19818.9 KB
001 Use GROUP BY with count.mp460.7 MB
20317.6 KB
002 Use functions.mp460.2 MB
21850.9 KB
001 Setting up single and multiple-level subtotals.mp458.5 MB
22504.2 KB
003 Use LIKE, IN, and wildcards with WHERE.mp458.3 MB
23671.5 KB
002 Using Advanced Filter for specialized filters.mp456.6 MB
24416.0 KB
003 Use procedures.mp456.3 MB
25679.2 KB
001 Retrieve data with SELECT.mp455.8 MB
26232.8 KB
005 variables in python.mp452.5 MB
27507.0 KB
003 Using Advanced Filter to create unique lists from repeating field data.mp452.4 MB
28617.6 KB
002 Filter results with WHERE clause.mp451.3 MB
29713.1 KB
001 Use variables.mp451.1 MB
30905.3 KB
008 defining input functions in python.mp450.7 MB
31293.7 KB
002 The SELECT Function.mp450.5 MB
32552.6 KB
003 Using date filters.mp450.3 MB
33715.7 KB
002 Accessing Related Tables.mp449.8 MB
34154.1 KB
003 Visualise your database.mp449.8 MB
35220.9 KB
001 Installing on Windows.mp449.2 MB
36868.5 KB
003 Write Comments in python.mp448.8 MB
37236.0 KB
005 Using the Top Ten (value or percent) option.mp448.5 MB
38553.8 KB
004 Merge data across tables with JOINS.mp447.6 MB
39419.3 KB
003 Relating Multiple Tables.mp447.0 MB
40979.8 KB
003 performing logic in python.mp446.4 MB
41599.4 KB
006 Combine rows with SQL UNION.mp445.7 MB
42269.3 KB
002 Filter grouped results with HAVING.mp445.6 MB
43376.6 KB
002 The NULL Value.mp443.1 MB
44949.7 KB
006 Naming Python Variables.mp442.9 MB
45104.6 KB
001 Embedding SQL.mp442.4 MB
46563.9 KB
006 Creating custom filters.mp442.4 MB
47615.0 KB
002 Get familiar with phpMyAdmin.mp441.7 MB
48325.4 KB
004 performing bitwise manipulations of data in python.mp441.3 MB
49744.6 KB
003 The SELECT Statement.mp439.9 MB
50116.1 KB
001 Using the Remove Duplicates command.mp439.6 MB
51438.2 KB
002 Using text filters.mp439.4 MB
52655.3 KB
001 Automating Data With Triggers.mp438.6 MB
53388.7 KB
004 Using numeric filters.mp438.3 MB
54746.4 KB
006 Text 2.mp437.5 MB
55505.3 KB
002 Preventing Updates.mp436.0 MB
561000.8 KB
005 Overview.mp436.0 MB
5732.5 KB
010 Uber Analysis Of Starting Point Of Trips.mp435.4 MB
58662.3 KB
003 Modern Data Ecosystem.mp434.7 MB
59340.4 KB
002 Data Integrity.mp434.7 MB
60343.4 KB
001 What are Aggregates.mp434.6 MB
61383.8 KB
003 Constraining Columns.mp434.3 MB
62767.4 KB
004 Key Players in the Data Ecosystem.mp433.3 MB
63707.1 KB
003 Example Timestamps.mp433.2 MB
64846.2 KB
006 Uber Analysis Of Purpose Of Trips.mp432.0 MB
6522.1 KB
002 Defining Data Analysis.mp429.5 MB
66512.6 KB
008 Ordering Output.mp429.4 MB
67650.8 KB
008 Select from a selection with subqueries.mp428.8 MB
68215.3 KB
009 importing libraries in python.mp428.5 MB
69496.9 KB
006 Sorting columns (sorting left-to-right).mp428.1 MB
70954.1 KB
001 Creating a Subselect.mp428.0 MB
711005.7 KB
004 Creating a Joined View.mp427.8 MB
72167.1 KB
003 INSERT, UPDATE and DELETE Functions.mp427.6 MB
73424.1 KB
007 Change report headings with alias.mp427.1 MB
74878.6 KB
001 Introduction.mp426.9 MB
75109.6 KB
007 Saving & Exporting.mp426.6 MB
76390.5 KB
001 Inserting Rows.mp426.6 MB
77404.6 KB
007 Removing Duplicates.mp426.3 MB
78695.6 KB
002 Searching Within A Result Set.mp426.3 MB
79739.7 KB
007 Sorting data in random order.mp426.0 MB
801019.7 KB
003 Performance.mp425.3 MB
81677.1 KB
004 Merge rows with GROUP BY.mp425.3 MB
82725.7 KB
005 ID Columns.mp424.4 MB
83638.2 KB
004 Exporting.mp423.8 MB
84193.1 KB
003 Selecting Part Of A String.mp423.8 MB
85244.8 KB
004 Selecting Rows.mp423.5 MB
86496.9 KB
004 working with strings in python.mp423.0 MB
8714.8 KB
005 Understand SQL JOINS.mp422.8 MB
88232.9 KB
005 Uber Analysis Of Hot Hour Of Trips.mp422.2 MB
89861.1 KB
007 Merge data across tables with IN.mp422.0 MB
9021.2 KB
005 assigning variables in python.mp420.9 MB
9198.7 KB
003 Creating a View.mp420.7 MB
92330.9 KB
003 Understand the demo database.mp420.5 MB
93486.2 KB
002 Raw.mp420.2 MB
94770.1 KB
009 Conditional Expressions.mp419.8 MB
95169.7 KB
001 Make your queries faster.mp419.7 MB
96330.7 KB
004 Changing A Schema.mp419.5 MB
97517.0 KB
004 Sort SQL results with ORDER BY.mp417.9 MB
9879.1 KB
007 assigning members in python.mp417.8 MB
99212.2 KB
005 Folding Case.mp416.4 MB
100564.5 KB
002 Date and Time Related Functions.mp415.6 MB
101405.4 KB
002 Database Organisation.mp415.2 MB
102820.1 KB
001 Addition of Data points Python.mp415.2 MB
103869.7 KB
003 Uber Analysis Of Categories Of Trips.mp415.1 MB
104874.3 KB
005 Counting Rows.mp413.8 MB
105180.2 KB
002 What Type is That Value.mp413.5 MB
106560.0 KB
003 Integer Division.mp413.2 MB
107843.3 KB
002 Finding The Length Of A String.mp413.2 MB
108865.1 KB
003 Aggregating DISTINCT Values.mp412.8 MB
109230.7 KB
002 Understanding SQL.mp412.6 MB
110390.9 KB
002 Comparing Strings and variables in Python.mp412.3 MB
111704.7 KB
007 Defining output Function.mp411.6 MB
112368.8 KB
002 Using Aggregate Functions.mp411.5 MB
113484.3 KB
007 Uber Analysis Of Day With Highest Number Of Trips.mp410.7 MB
114284.6 KB
008 Uber Analysis Of Number Of Trips Per Day.mp410.6 MB
115382.0 KB
004 Uber Analysis Of Length Of Trips.mp410.4 MB
116563.4 KB
004 Removing Spaces.mp410.2 MB
117768.6 KB
006 assigning special variables in python.mp49.9 MB
11878.5 KB
001 About SQL.mp49.9 MB
11984.6 KB
006 Deleting Data.mp49.4 MB
120570.0 KB
001 Introduction.mp49.2 MB
121778.3 KB
009 Uber Analysis Of Number Of In The Month.mp49.1 MB
122914.1 KB
001 Introduction.mp49.1 MB
123935.2 KB
003 Text.mp49.1 MB
124957.8 KB
001 Understanding JOIN.mp49.0 MB
125982.4 KB
004 Rounding Numbers.mp48.8 MB
126156.0 KB
001 Numeric Types.mp48.2 MB
127840.3 KB
001 Introduction.mp47.6 MB
128440.3 KB
001 What are Transactions.mp46.6 MB
129450.6 KB
001 Introduction.mp46.2 MB
130810.8 KB
003 How to use the Exercise files.mp46.2 MB
131835.2 KB
001 Date and Times.mp46.0 MB
13225.9 KB
001 About SQL Strings.mp45.6 MB
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