Are you considering taking The Complete SQL Bootcamp 2023: Go from Zero to Hero course on Udemy.com? Our team took this course and thought it was the easiest to consume SQL course online. The instructor speaks clearly and teaches at a pace perfect for understanding the SQL lessons. We highly recommend this SQL course!
The Complete SQL Bootcamp 2023: Go from Zero to Hero Review
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The Complete SQL Bootcamp Review
SQL (Structured Query Language) is a programming language used to manage relational databases. The Complete SQL Bootcamp is a course that aims to teach the basics and advanced concepts of SQL. The benefits of learning SQL include the ability to:
- Retrieve and manipulate data from databases
- Create and modify database structures
- Understand and analyze data in a business setting
- Improve decision-making by querying data
- Prepare for a career in data analysis, data science, and database management
Knowing how to write SQL is an important ability to have because it is frequently used in sectors like business, finance, and marketing as well as in data analysis and data science. It is a crucial ability for many professions in data analysis and data management and is also frequently employed by businesses and organizations of all sizes and sorts.
SQL Table Creator
In SQL, tables are created using the “CREATE TABLE” statement. The basic syntax for creating a table is as follows:
CREATE TABLE table_name
column1 data_type constraint,
column2 data_type constraint,
column_n data_type constraint,
PRIMARY KEY (column1, column2, …, column_n)
- table_name is the name of the table being created.
- column1, column2, …, column_n are the names of the columns in the table.
- data_type is the data type of the column (e.g. INT, VARCHAR, DATE, etc.).
- constraint is an optional constraint that can be applied to a column (e.g. NOT NULL, UNIQUE, etc.).
- PRIMARY KEY is a constraint that specifies a unique identifier for each row in the table.
Here is an example of how to create a table called “employees” with four columns: “employee_id” (integer), “first_name” (varchar), “last_name” (varchar), and “hire_date” (date):
CREATE TABLE employees
employee_id INT NOT NULL,
first_name VARCHAR(255) NOT NULL,
last_name VARCHAR(255) NOT NULL,
hire_date DATE NOT NULL,
PRIMARY KEY (employee_id)
This creates a table named “employees” with four columns and a primary key constraint on the “employee_id” column.
It is important to note that this is just a simple example and SQL tables can be much more complex. For example, you can add more constraints, indexes, partitions, etc.
SQL WHERE Clause Tutorial
The SQL WHERE clause is used to filter the results of a SELECT, UPDATE, or DELETE statement. It is used to specify a condition that must be met for the rows to be included in the results. The basic syntax of the WHERE clause is as follows:
SELECT column1, column2, …, column_n
- condition is a boolean expression that is evaluated for each row in the table. If the condition is true for a particular row, it will be included in the results.
Here is an example of using the WHERE clause in a SELECT statement to retrieve all employees from the “employees” table whose last name is ‘Smith’:
SELECT first_name, last_name
WHERE last_name = ‘Smith’;
You can also use multiple conditions in a WHERE clause using logical operators such as AND, OR, NOT. For example, to retrieve all employees whose last name is ‘Smith’ and have a salary greater than 50000:
SELECT first_name, last_name, salary
WHERE last_name = ‘Smith’ AND salary > 50000;
You can also use comparison operators like <, >, <=, >=, <>, =, != and IS NULL, IS NOT NULL, IN, NOT IN, BETWEEN, and LIKE in the WHERE clause.
Additionally, you can use a subquery in the where clause, for example:
SELECT first_name, last_name
WHERE employee_id IN (SELECT manager_id FROM departments);
This will select all the employees who are managers in the departments table by joining the employee_id in the employees table with the manager_id in the departments table.
It’s worth noting that the WHERE clause is an optional part of a SELECT, UPDATE, or DELETE statement. If you don’t include a WHERE clause, all the rows in the table will be included in the results.
In summary, the SQL WHERE clause is an essential tool in filtering your results in SQL and is used to select only the rows from a table that meets a certain condition.
What is the average SQL salary?
The main reason students enroll in “The Complete SQL Bootcamp” is the potential for a high SQL salary! The average salary for a SQL professional can vary depending on factors such as location, experience, and job responsibilities. According to data from salary comparison websites such as Glassdoor and Indeed, the average salary for a SQL developer in the United States is around $80,000 – $100,000 per year. This can vary depending on location, with higher salaries in major cities such as San Francisco, New York, and Seattle, and lower salaries in smaller cities and rural areas.
The salary for SQL developers with more experience or specialized skills can be higher, with an average salary of around $120,000 – $140,000 per year for senior SQL developers or SQL architects.
It’s worth noting that this is just an average salary, and the salary for a SQL professional can vary widely depending on many factors like company size, industry, location, and demand, among others.
It is also important to note that SQL is a broad term and the salary also depends on the specific role and responsibilities of the position. For example, an SQL Developer, Database Administrator, or Data Analyst role would have different responsibilities and therefore different average salaries.
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