├── .gitattributes ├── README.md ├── SQL-Zoo ├── 0_SQL Basics │ ├── 1_SELECT basic - Introducing the world table of countries.sql │ ├── 2_SELECT basic - Scandinavia.sql │ └── 3_SELECT basic - Just the right size.sql ├── 1_SELECT names │ ├── 01_SELECT names.sql │ ├── 02_SELECT names.sql │ ├── 03_SELECT names.sql │ ├── 04_SELECT names.sql │ ├── 05_SELECT names.sql │ ├── 06_SELECT names.sql │ ├── 07_SELECT names.sql │ ├── 08_SELECT names.sql │ ├── 09_SELECT names.sql │ ├── 10_SELECT names.sql │ ├── 11_SELECT names.sql │ ├── 12_SELECT names.sql │ ├── 13_SELECT names.sql │ ├── 14_SELECT names.sql │ └── 15_SELECT names.sql ├── 2_Select from world │ ├── 01_SELECT from world - Introduction.sql │ ├── 02_SELECT from world - Large Countries.sql │ ├── 03_SELECT from world - Per Capita GDP.sql │ ├── 04_SELECT from world - South America in Millions.sql │ ├── 05_SELECT from world - France, Germany, Italy.sql │ ├── 06_SELECT from world - United.sql │ ├── 07_SELECT from world - Two ways to be big.sql │ ├── 08_SELECT from world - One or the other (but not both).sql │ ├── 09_SELECT from world - Rounding.sql │ ├── 10_SELECT from world - Trillion dollar economies.sql │ ├── 11_SELECT from world - Name and capital have the same length.sql │ ├── 12_SELECT from world - Matching name and capital.sql │ └── 13_SELECT from world - All the vowels.sql ├── 3_SELECT from Nobel │ ├── 01_SELECT from Nobel_Winners from 1950.sql │ ├── 02_SELECT from Nobel_1962 Literature.sql │ ├── 03_SELECT from Nobel_Albert Einstein.sql │ ├── 04_SELECT from Nobel_Recent Peace Prizes.sql │ ├── 05_SELECT from Nobel_Literature in the 1980's.sql │ ├── 06_SELECT from Nobel_Only Presidents.sql │ ├── 07_SELECT from Nobel_John.sql │ ├── 08_SELECT from Nobel_Chemistry and Physics from different years.sql │ ├── 09_SELECT from Nobel_Exclude Chemists and Medics.sql │ ├── 10_SELECT from Nobel_Early Medicine, Late Literature.sql │ ├── 11_SELECT from Nobel_Find all details of the prize won by PETER GRÜNBERG.sql │ ├── 12_SELECT from Nobel_Apostrophe.sql │ ├── 13_SELECT from Nobel_Knights of the realm.sql │ └── 14_SELECT from Nobel_Chemistry and Physics last.sql ├── 4_SELECT within SELECT │ ├── 01_Nested Select_Bigger than Russia.sql │ ├── 02_Nested Select_Richer than UK.sql │ ├── 03_Nested Select_Neighbours of Argentina and Australia.sql │ ├── 04_Nested Select_Between Canada and Poland.sql │ ├── 05_Nested Select_Percentages of Germany.sql │ ├── 06_Nested Select_Bigger than every country in Europe.sql │ ├── 07_Nested Select_Largest in each continent.sql │ ├── 08_Nested Select_First country of each continent (alphabetically).sql │ ├── 09_Nested Select_Difficult Questions That Utilize Techniques Not Covered In Prior Sections.sql │ └── 10_Nested Select_More population than any neighbours.sql ├── 5_Aggregate functions, Group by, Having │ ├── 01_Aggregate Functions_Total world population.sql │ ├── 02_Aggregate Functions_List of continents.sql │ ├── 03_Aggregate Functions_GDP of Africa.sql │ ├── 04_Aggregate Functions_Count the big countries.sql │ ├── 05_Aggregate Functions_Baltic states population.sql │ ├── 06_Using GROUP BY and HAVING_Counting the countries of each continent.sql │ ├── 07_Using GROUP BY and HAVING_Counting big countries in each continent.sql │ ├── 08_Using GROUP BY and HAVING_Counting big continents.sql │ ├── 09_Aggregate Function_Nobel Table_1.sql │ ├── 10_Aggregate Function_Nobel Table_2.sql │ ├── 11_Aggregate Function_Nobel Table_3.sql │ ├── 12_GROUP BY and HAVING_Nobel Table_4.sql │ ├── 13_GROUP BY and HAVING_Nobel Table_5.sql │ ├── 14_GROUP BY and HAVING_Nobel Table_6.sql │ ├── 15_aggregates with DISTINCT_Nobel Table_7.sql │ ├── 16_aggregates with DISTINCT_Nobel Table_8.sql │ ├── 17_using Having_Nobel Table_9.sql │ ├── 18_using Having_Nobel Table_10.sql │ ├── 19_using Having_Nobel Table_11.sql │ └── 20_Group by AND Having_Nobel Table_12.sql ├── 6_Join Operations │ ├── 01_JOIN_UEFA EURO 2012_1.sql │ ├── 02_JOIN_UEFA EURO 2012_2.sql │ ├── 03_JOIN_UEFA EURO 2012_3.sql │ ├── 04_JOIN_UEFA EURO 2012_4.sql │ ├── 05_JOIN_UEFA EURO 2012_5.sql │ ├── 06_JOIN_UEFA EURO 2012_6.sql │ ├── 07_JOIN_UEFA EURO 2012_7.sql │ ├── 08_JOIN_UEFA EURO 2012_8.sql │ ├── 09_JOIN_UEFA EURO 2012_9.sql │ ├── 10_JOIN_UEFA EURO 2012_10.sql │ ├── 11_JOIN_UEFA EURO 2012_11.sql │ ├── 12_JOIN_UEFA EURO 2012_12.sql │ ├── 13_JOIN_UEFA EURO 2012_13.sql │ ├── 14_JOIN_Table Tennis Olympics Database_1.sql │ ├── 15_JOIN_Table Tennis Olympics Database_2.sql │ ├── 16_JOIN_Table Tennis Olympics Database_3.sql │ ├── 17_JOIN_Table Tennis Olympics Database_4.sql │ ├── 18_JOIN_Table Tennis Olympics Database_5.sql │ ├── 19_JOIN_Table Tennis Olympics Database_6.sql │ ├── 20_JOIN_Table Tennis Olympics Database_7.sql │ ├── 21_JOIN_Table Tennis Olympics Database_8.sql │ ├── 22_JOIN_Table Tennis Olympics Database_9.sql │ ├── 23_JOIN_Music database_1.sql │ ├── 24_JOIN_Music database_2.sql │ ├── 25_JOIN_Music database_3.sql │ ├── 26_JOIN_Music database_4.sql │ ├── 27_JOIN_Music database_5.sql │ ├── 28_JOIN_Music database_6.sql │ ├── 29_JOIN_Music database_7.sql │ ├── 30_JOIN_Music database_8.sql │ ├── 31_JOIN_Music database_9.sql │ └── 32_JOIN_Music database_10.sql ├── 7_More Join Operation │ ├── 01_Movie database_1962 movies.sql │ ├── 02_Movie database_When was Citizen Kane released.sql │ ├── 03_Movie database_Star Trek movies.sql │ ├── 04_Movie database_id for actor Glenn Close.sql │ ├── 05_Movie database_id for Casablanca.sql │ ├── 06_Movie database_Cast list for Casablanca.sql │ ├── 07_Movie database_Alien cast list.sql │ ├── 08_Movie database_Harrison Ford movies.sql │ ├── 09_Movie database_Harrison Ford as a supporting actor.sql │ ├── 10_Movie database_Lead actors in 1962 movies.sql │ ├── 11_Movie database_Busy years for John Travolta.sql │ ├── 12_Movie database_Lead actor in Julie Andrews movies.sql │ ├── 13_Movie database_Actors with 30 leading roles.sql │ ├── 14_Movie database_films released in the year 1978.sql │ └── 15_Movie database_worked with 'Art Garfunkel'.sql ├── 8+_Numeric Example │ ├── 01_Numeric Example_Check out one row.sql │ ├── 02_Numeric Example_Calculate how many agree or strongly agree.sql │ ├── 03_Numeric Example_Unhappy Computer Students.sql │ ├── 04_Numeric Example_More Computing or Creative Students.sql │ ├── 05_Numeric Example_Strongly Agree Numbers.sql │ ├── 06_Numeric Example_Strongly Agree, Percentage.sql │ ├── 07_Numeric Example_Scores for Institutions in Manchester.sql │ └── 08_Numeric Example_Number of Computing Students in Manchester.sql ├── 8_Using Null │ ├── 01_Using Null_Teachers and Departments_NULL, INNER JOIN, LEFT JOIN, RIGHT JOIN.sql │ ├── 02_Using Null_Teachers and Departments_NULL, INNER JOIN, LEFT JOIN, RIGHT JOIN.sql │ ├── 03_Using Null_Teachers and Departments_NULL, INNER JOIN, LEFT JOIN, RIGHT JOIN.sql │ ├── 04_Using Null_Teachers and Departments_NULL, INNER JOIN, LEFT JOIN, RIGHT JOIN.sql │ ├── 05_Using Null_Teachers and Departments_COALESCE function.sql │ ├── 06_Using Null_Teachers and Departments_COALESCE function.sql │ ├── 07_Using Null_Teachers and Departments_Count Function.sql │ ├── 08_Using Null_Teachers and Departments_Count and Group by Function.sql │ ├── 09_Using Null_Teachers and Departments_Case Function.sql │ ├── 10_Using Null_Teachers and Departments_Case Function.sql │ ├── 11_Using Null_Scottish Parliament_1.sql │ ├── 12_Using Null_Scottish Parliament_2.sql │ ├── 13_Using Null_Scottish Parliament_3.sql │ ├── 14_Using Null_Scottish Parliament_4.sql │ ├── 15_Using Null_Scottish Parliament_5.sql │ ├── 16_Using Null_Scottish Parliament_6.sql │ └── 17_Using Null_Scottish Parliament_7.sql └── 9_Self Join │ ├── 01_Edinburgh Buses_Summary1.sql │ ├── 02_Edinburgh Buses_Summary2.sql │ ├── 03_Edinburgh Buses_Summary3.sql │ ├── 04_Edinburgh Buses_Routes and stops_1.sql │ ├── 05_Edinburgh Buses_Routes and stops_2.sql │ ├── 06_Edinburgh Buses_Routes and stops_3.sql │ ├── 07_Edinburgh Buses_Using a self join_1.sql │ ├── 08_Edinburgh Buses_Using a self join_2.sql │ ├── 09_Edinburgh Buses_Using a self join_3.sql │ └── 10_Edinburgh Buses_Using a self join_4.sql └── Vertabelo Academy ├── 1_Select From Table Section ├── 1_kittens.sql ├── 2_young and old ragdoll cats.sql ├── 3_which cats like to play with balls.sql ├── 4_the most bored cat.sql ├── 5_elder cats have some fun.sql └── 6_adult cats that love teaser toys.sql ├── 2_Aggregation and grouping ├── 1_cost effective games.sql ├── 2_average production cost of games.sql ├── 3_revenue for recent good shooter games.sql ├── 4_games production statistics by year.sql ├── 5_profitable games by type.sql ├── 6_gross profit by company.sql ├── 7_production statistics.sql └── 8_identify good games.sql └── 3_SQL Join Types ├── 01_get to know the author table.sql ├── 02_get to know the book table.sql ├── 03_get to know the adaptation table.sql ├── 04_joins recap.sql ├── 05_join and filtering.sql ├── 06_joins ambogius columns.sql ├── 07_inner join.sql ├── 08_left join.sql ├── 09_full join.sql ├── 10_cross join.sql ├── 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