If you are trying to transition into the data analytics domain and getting started with SQL, focus on the most useful concept that will help you solve the majority of the problems, and then try to learn the rest of the topics:
👉🏻 Basic Aggregation function:
1️⃣ AVG
2️⃣ COUNT
3️⃣ SUM
4️⃣ MIN
5️⃣ MAX
👉🏻 JOINS
1️⃣ Left
2️⃣ Inner
3️⃣ Self (Important, Practice questions on self join)
👉🏻 Windows Function (Important)
1️⃣ Learn how partitioning works
2️⃣ Learn the different use cases where Ranking/Numbering Functions are used? ( ROW_NUMBER,RANK, DENSE_RANK, NTILE)
3️⃣ Use Cases of LEAD & LAG functions
4️⃣ Use cases of Aggregate window functions
👉🏻 GROUP BY
👉🏻 WHERE vs HAVING
👉🏻 CASE STATEMENT
👉🏻 UNION vs Union ALL
👉🏻 LOGICAL OPERATORS
Other Commonly used functions:
👉🏻 IFNULL
👉🏻 COALESCE
👉🏻 ROUND
👉🏻 Working with Date Functions
1️⃣ EXTRACTING YEAR/MONTH/WEEK/DAY
2️⃣ Calculating date differences
👉🏻CTE
👉🏻Views & Triggers (optional)
Here is an amazing resources to learn & practice SQL: https://bit.ly/3FxxKPz
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
👉🏻 Basic Aggregation function:
1️⃣ AVG
2️⃣ COUNT
3️⃣ SUM
4️⃣ MIN
5️⃣ MAX
👉🏻 JOINS
1️⃣ Left
2️⃣ Inner
3️⃣ Self (Important, Practice questions on self join)
👉🏻 Windows Function (Important)
1️⃣ Learn how partitioning works
2️⃣ Learn the different use cases where Ranking/Numbering Functions are used? ( ROW_NUMBER,RANK, DENSE_RANK, NTILE)
3️⃣ Use Cases of LEAD & LAG functions
4️⃣ Use cases of Aggregate window functions
👉🏻 GROUP BY
👉🏻 WHERE vs HAVING
👉🏻 CASE STATEMENT
👉🏻 UNION vs Union ALL
👉🏻 LOGICAL OPERATORS
Other Commonly used functions:
👉🏻 IFNULL
👉🏻 COALESCE
👉🏻 ROUND
👉🏻 Working with Date Functions
1️⃣ EXTRACTING YEAR/MONTH/WEEK/DAY
2️⃣ Calculating date differences
👉🏻CTE
👉🏻Views & Triggers (optional)
Here is an amazing resources to learn & practice SQL: https://bit.ly/3FxxKPz
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
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SQL Topicwise Interview Questions & Answers
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SQL INTERVIEW QUESTIONS AND SOLUTIONS WITH TOPIC WISE.
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For practical and queries asked in FAANG and MNCs , subscribe below.
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Top 5 SQL Functions
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1. SELECT Statement:
- Function: Retrieving data from one or more tables.
- Example:
2. COUNT Function:
- Function: Counts the number of rows that meet a specified condition.
- Example:
3. SUM Function:
- Function: Calculates the sum of values in a numeric column.
- Example:
4. AVG Function:
- Function: Computes the average value of a numeric column.
- Example:
5. GROUP BY Clause:
- Function: Groups rows that have the same values in specified columns into summary rows.
- Example:
These functions are fundamental in SQL and are frequently used for various data manipulation tasks, including data retrieval, aggregation, and analysis.
https://t.me/sqlanalyst
1. SELECT Statement:
- Function: Retrieving data from one or more tables.
- Example:
SELECT column1, column2 FROM table WHERE condition;2. COUNT Function:
- Function: Counts the number of rows that meet a specified condition.
- Example:
SELECT COUNT(column) FROM table WHERE condition;3. SUM Function:
- Function: Calculates the sum of values in a numeric column.
- Example:
SELECT SUM(column) FROM table WHERE condition;4. AVG Function:
- Function: Computes the average value of a numeric column.
- Example:
SELECT AVG(column) FROM table WHERE condition;5. GROUP BY Clause:
- Function: Groups rows that have the same values in specified columns into summary rows.
- Example:
SELECT column, AVG(numeric_column) FROM table GROUP BY column;These functions are fundamental in SQL and are frequently used for various data manipulation tasks, including data retrieval, aggregation, and analysis.
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*SQL Interview Questions which can be asked in a Data Analyst Interview.*
1️⃣ What is difference between Primary key and Unique key?
◼Primary key- A column or set of columns which uniquely identifies each record in a table. It can't contain null values and only one primary key
can exist in a table.
◼Unique key-Similar to primary key it also uniquely identifies each record in a table and can contain null values.Multiple Unique key can exist in a table.
2️⃣ What is a Candidate key?
◼A key or set of keys that uniquely identifies each record in a table.It is a combination of Primary and Alternate key.
3️⃣ What is a Constraint?
◼Specific rule or limit that we define in our table. E.g - NOT NULL,AUTO INCREMENT
4️⃣ Can you differentiate between TRUNCATE and DELETE?
◼TRUNCATE is a DDL command. It deletes the entire data from a table but preserves the structure of table.It doesn't deletes the data row by row hence faster than DELETE command, while DELETE is a DML command and it deletes the entire data based on specified condition else deletes the entire data,also it deletes the data row by row hence slower than TRUNCATE command.
5️⃣ What is difference between 'View' and 'Stored Procedure'?
◼A View is a virtual table that gets data from the base table .It is basically a Select statement,while Stored Procedure is a sql statement or set of sql statement stored on database server.
6️⃣ What is difference between a Common Table Expression and temporary table?
◼CTE is a temporary result set that is defined within execution scope of a single SELECT ,DELETE,UPDATE statement while temporary table is stored in TempDB and gets deleted once the session expires.
7️⃣ Differentiate between a clustered index and a non-clustered index?
◼ A clustered index determines physical ordering of data in a table and a table can have only one clustered index while a non-clustered index is analogous to index of a book where index is stored at one place and data at other place and index will have pointers to storage location of the data,a table can have more than one non-clustered index.
8️⃣ Explain triggers ?
◼They are sql codes which are automatically executed in response to certain events on a table.They are used to maintain integrity of data.
1️⃣ What is difference between Primary key and Unique key?
◼Primary key- A column or set of columns which uniquely identifies each record in a table. It can't contain null values and only one primary key
can exist in a table.
◼Unique key-Similar to primary key it also uniquely identifies each record in a table and can contain null values.Multiple Unique key can exist in a table.
2️⃣ What is a Candidate key?
◼A key or set of keys that uniquely identifies each record in a table.It is a combination of Primary and Alternate key.
3️⃣ What is a Constraint?
◼Specific rule or limit that we define in our table. E.g - NOT NULL,AUTO INCREMENT
4️⃣ Can you differentiate between TRUNCATE and DELETE?
◼TRUNCATE is a DDL command. It deletes the entire data from a table but preserves the structure of table.It doesn't deletes the data row by row hence faster than DELETE command, while DELETE is a DML command and it deletes the entire data based on specified condition else deletes the entire data,also it deletes the data row by row hence slower than TRUNCATE command.
5️⃣ What is difference between 'View' and 'Stored Procedure'?
◼A View is a virtual table that gets data from the base table .It is basically a Select statement,while Stored Procedure is a sql statement or set of sql statement stored on database server.
6️⃣ What is difference between a Common Table Expression and temporary table?
◼CTE is a temporary result set that is defined within execution scope of a single SELECT ,DELETE,UPDATE statement while temporary table is stored in TempDB and gets deleted once the session expires.
7️⃣ Differentiate between a clustered index and a non-clustered index?
◼ A clustered index determines physical ordering of data in a table and a table can have only one clustered index while a non-clustered index is analogous to index of a book where index is stored at one place and data at other place and index will have pointers to storage location of the data,a table can have more than one non-clustered index.
8️⃣ Explain triggers ?
◼They are sql codes which are automatically executed in response to certain events on a table.They are used to maintain integrity of data.
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Quick Recap of SQL Concepts
1️⃣ FROM clause: Specifies the tables from which data will be retrieved.
2️⃣ WHERE clause: Filters rows based on specified conditions.
3️⃣ GROUP BY clause: Groups rows that have the same values into summary rows.
4️⃣ HAVING clause: Filters groups based on specified conditions.
5️⃣ SELECT clause: Specifies the columns to be retrieved.
6️⃣ WINDOW functions: Functions that perform calculations across a set of table rows.
7️⃣ AGGREGATE functions: Functions like COUNT, SUM, AVG that perform calculations on a set of values.
8️⃣ UNION / UNION ALL: Combines the result sets of multiple SELECT statements.
9️⃣ ORDER BY clause: Sorts the result set based on specified columns.
🔟 LIMIT / OFFSET (or FETCH / OFFSET in some databases): Controls the number of rows returned and starting point for retrieval.
1️⃣ FROM clause: Specifies the tables from which data will be retrieved.
2️⃣ WHERE clause: Filters rows based on specified conditions.
3️⃣ GROUP BY clause: Groups rows that have the same values into summary rows.
4️⃣ HAVING clause: Filters groups based on specified conditions.
5️⃣ SELECT clause: Specifies the columns to be retrieved.
6️⃣ WINDOW functions: Functions that perform calculations across a set of table rows.
7️⃣ AGGREGATE functions: Functions like COUNT, SUM, AVG that perform calculations on a set of values.
8️⃣ UNION / UNION ALL: Combines the result sets of multiple SELECT statements.
9️⃣ ORDER BY clause: Sorts the result set based on specified columns.
🔟 LIMIT / OFFSET (or FETCH / OFFSET in some databases): Controls the number of rows returned and starting point for retrieval.
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SQL, or Structured Query Language, is a domain-specific language used to manage and manipulate relational databases. Here's a brief A-Z overview by @sqlanalyst
A - Aggregate Functions: Functions like COUNT, SUM, AVG, MIN, and MAX used to perform operations on data in a database.
B - BETWEEN: A SQL operator used to filter results within a specific range.
C - CREATE TABLE: SQL statement for creating a new table in a database.
D - DELETE: SQL statement used to delete records from a table.
E - EXISTS: SQL operator used in a subquery to test if a specified condition exists.
F - FOREIGN KEY: A field in a database table that is a primary key in another table, establishing a link between the two tables.
G - GROUP BY: SQL clause used to group rows that have the same values in specified columns.
H - HAVING: SQL clause used in combination with GROUP BY to filter the results.
I - INNER JOIN: SQL clause used to combine rows from two or more tables based on a related column between them.
J - JOIN: Combines rows from two or more tables based on a related column.
K - KEY: A field or set of fields in a database table that uniquely identifies each record.
L - LIKE: SQL operator used in a WHERE clause to search for a specified pattern in a column.
M - MODIFY: SQL command used to modify an existing database table.
N - NULL: Represents missing or undefined data in a database.
O - ORDER BY: SQL clause used to sort the result set in ascending or descending order.
P - PRIMARY KEY: A field in a table that uniquely identifies each record in that table.
Q - QUERY: A request for data from a database using SQL.
R - ROLLBACK: SQL command used to undo transactions that have not been saved to the database.
S - SELECT: SQL statement used to query the database and retrieve data.
T - TRUNCATE: SQL command used to delete all records from a table without logging individual row deletions.
U - UPDATE: SQL statement used to modify the existing records in a table.
V - VIEW: A virtual table based on the result of a SELECT query.
W - WHERE: SQL clause used to filter the results of a query based on a specified condition.
X - (E)XISTS: Used in conjunction with SELECT to test the existence of rows returned by a subquery.
Z - ZERO: Represents the absence of a value in numeric fields or the initial state of boolean fields.
A - Aggregate Functions: Functions like COUNT, SUM, AVG, MIN, and MAX used to perform operations on data in a database.
B - BETWEEN: A SQL operator used to filter results within a specific range.
C - CREATE TABLE: SQL statement for creating a new table in a database.
D - DELETE: SQL statement used to delete records from a table.
E - EXISTS: SQL operator used in a subquery to test if a specified condition exists.
F - FOREIGN KEY: A field in a database table that is a primary key in another table, establishing a link between the two tables.
G - GROUP BY: SQL clause used to group rows that have the same values in specified columns.
H - HAVING: SQL clause used in combination with GROUP BY to filter the results.
I - INNER JOIN: SQL clause used to combine rows from two or more tables based on a related column between them.
J - JOIN: Combines rows from two or more tables based on a related column.
K - KEY: A field or set of fields in a database table that uniquely identifies each record.
L - LIKE: SQL operator used in a WHERE clause to search for a specified pattern in a column.
M - MODIFY: SQL command used to modify an existing database table.
N - NULL: Represents missing or undefined data in a database.
O - ORDER BY: SQL clause used to sort the result set in ascending or descending order.
P - PRIMARY KEY: A field in a table that uniquely identifies each record in that table.
Q - QUERY: A request for data from a database using SQL.
R - ROLLBACK: SQL command used to undo transactions that have not been saved to the database.
S - SELECT: SQL statement used to query the database and retrieve data.
T - TRUNCATE: SQL command used to delete all records from a table without logging individual row deletions.
U - UPDATE: SQL statement used to modify the existing records in a table.
V - VIEW: A virtual table based on the result of a SELECT query.
W - WHERE: SQL clause used to filter the results of a query based on a specified condition.
X - (E)XISTS: Used in conjunction with SELECT to test the existence of rows returned by a subquery.
Z - ZERO: Represents the absence of a value in numeric fields or the initial state of boolean fields.
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Understanding CTEs in SQL
A Common Table Expression (CTE) is a temporary result set that you can refer to within a SELECT, INSERT, UPDATE, or DELETE statement. It provides better readability and can be thought of as defining a temporary view for just one query.
A Common Table Expression (CTE) is a temporary result set that you can refer to within a SELECT, INSERT, UPDATE, or DELETE statement. It provides better readability and can be thought of as defining a temporary view for just one query.
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