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SQL Tutorial

SQL HOME SQL Intro SQL Syntax SQL Select SQL Select Distinct SQL Where SQL Order By SQL And SQL Or SQL Not SQL Insert Into SQL Null Values SQL Update SQL Delete SQL Select Top SQL Aggregate Functions SQL Min and Max SQL Count SQL Sum SQL Avg SQL Like SQL Wildcards SQL In SQL Between SQL Aliases SQL Joins SQL Inner Join SQL Left Join SQL Right Join SQL Full Join SQL Self Join SQL Union SQL Group By SQL Having SQL Exists SQL Any, All SQL Select Into SQL Insert Into Select SQL Case SQL Null Functions SQL Stored Procedures SQL Comments SQL Operators

SQL Database

SQL Create DB SQL Drop DB SQL Backup DB SQL Create Table SQL Drop Table SQL Alter Table SQL Constraints SQL Not Null SQL Unique SQL Primary Key SQL Foreign Key SQL Check SQL Default SQL Index SQL Auto Increment SQL Dates SQL Views SQL Injection SQL Hosting SQL Data Types

SQL References

SQL Keywords
ADD ADD CONSTRAINT ALL ALTER ALTER COLUMN ALTER TABLE AND ANY AS ASC BACKUP DATABASE BETWEEN CASE CHECK COLUMN CONSTRAINT CREATE CREATE DATABASE CREATE INDEX CREATE OR REPLACE VIEW CREATE TABLE CREATE PROCEDURE CREATE UNIQUE INDEX CREATE VIEW DATABASE DEFAULT DELETE DESC DISTINCT DROP DROP COLUMN DROP CONSTRAINT DROP DATABASE DROP DEFAULT DROP INDEX DROP TABLE DROP VIEW EXEC EXISTS FOREIGN KEY FROM FULL OUTER JOIN GROUP BY HAVING IN INDEX INNER JOIN INSERT INTO INSERT INTO SELECT IS NULL IS NOT NULL JOIN LEFT JOIN LIKE LIMIT NOT NOT NULL OR ORDER BY OUTER JOIN PRIMARY KEY PROCEDURE RIGHT JOIN ROWNUM SELECT SELECT DISTINCT SELECT INTO SELECT TOP SET TABLE TOP TRUNCATE TABLE UNION UNION ALL UNIQUE UPDATE VALUES VIEW WHERE
MySQL Functions
String Functions: ASCII CHAR_LENGTH CHARACTER_LENGTH CONCAT CONCAT_WS FIELD FIND_IN_SET FORMAT INSERT INSTR LCASE LEFT LENGTH LOCATE LOWER LPAD LTRIM MID POSITION REPEAT REPLACE REVERSE RIGHT RPAD RTRIM SPACE STRCMP SUBSTR SUBSTRING SUBSTRING_INDEX TRIM UCASE UPPER Numeric Functions: ABS ACOS ASIN ATAN ATAN2 AVG CEIL CEILING COS COT COUNT DEGREES DIV EXP FLOOR GREATEST LEAST LN LOG LOG10 LOG2 MAX MIN MOD PI POW POWER RADIANS RAND ROUND SIGN SIN SQRT SUM TAN TRUNCATE Date Functions: ADDDATE ADDTIME CURDATE CURRENT_DATE CURRENT_TIME CURRENT_TIMESTAMP CURTIME DATE DATEDIFF DATE_ADD DATE_FORMAT DATE_SUB DAY DAYNAME DAYOFMONTH DAYOFWEEK DAYOFYEAR EXTRACT FROM_DAYS HOUR LAST_DAY LOCALTIME LOCALTIMESTAMP MAKEDATE MAKETIME MICROSECOND MINUTE MONTH MONTHNAME NOW PERIOD_ADD PERIOD_DIFF QUARTER SECOND SEC_TO_TIME STR_TO_DATE SUBDATE SUBTIME SYSDATE TIME TIME_FORMAT TIME_TO_SEC TIMEDIFF TIMESTAMP TO_DAYS WEEK WEEKDAY WEEKOFYEAR YEAR YEARWEEK Advanced Functions: BIN BINARY CASE CAST COALESCE CONNECTION_ID CONV CONVERT CURRENT_USER DATABASE IF IFNULL ISNULL LAST_INSERT_ID NULLIF SESSION_USER SYSTEM_USER USER VERSION
SQL Server Functions
String Functions: ASCII CHAR CHARINDEX CONCAT Concat with + CONCAT_WS DATALENGTH DIFFERENCE FORMAT LEFT LEN LOWER LTRIM NCHAR PATINDEX QUOTENAME REPLACE REPLICATE REVERSE RIGHT RTRIM SOUNDEX SPACE STR STUFF SUBSTRING TRANSLATE TRIM UNICODE UPPER Numeric Functions: ABS ACOS ASIN ATAN ATN2 AVG CEILING COUNT COS COT DEGREES EXP FLOOR LOG LOG10 MAX MIN PI POWER RADIANS RAND ROUND SIGN SIN SQRT SQUARE SUM TAN Date Functions: CURRENT_TIMESTAMP DATEADD DATEDIFF DATEFROMPARTS DATENAME DATEPART DAY GETDATE GETUTCDATE ISDATE MONTH SYSDATETIME YEAR Advanced Functions CAST COALESCE CONVERT CURRENT_USER IIF ISNULL ISNUMERIC NULLIF SESSION_USER SESSIONPROPERTY SYSTEM_USER USER_NAME
MS Access Functions
String Functions: Asc Chr Concat with & CurDir Format InStr InstrRev LCase Left Len LTrim Mid Replace Right RTrim Space Split Str StrComp StrConv StrReverse Trim UCase Numeric Functions: Abs Atn Avg Cos Count Exp Fix Format Int Max Min Randomize Rnd Round Sgn Sqr Sum Val Date Functions: Date DateAdd DateDiff DatePart DateSerial DateValue Day Format Hour Minute Month MonthName Now Second Time TimeSerial TimeValue Weekday WeekdayName Year Other Functions: CurrentUser Environ IsDate IsNull IsNumeric
SQL Quick Ref

SQL Examples

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W3Schools SQL Bootcamp

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SQL Bootcamp

Learn Data Analytics with W3Schools.

Self-paced online courses.

Duration: Around 80 hours.

Learn More

w 3 s c h o o l s B O O T C A M P . 2 0 2 4

What You Will Learn

Python

  • How to write scripts for automating tasks.
  • How to create and serve web applications.
  • How to write programs for mathematical and scientific computing.
  • How to use object-oriented programming and third-party libraries.
  • How to build secure and reliable applications.

SQL

  • How to store, change and retrieve data in databases with SQL.
  • How to use SQL in: MySQL, SQL Server, MS Access, Oracle, Sybase, Informix, Postgres, and other database systems.

NumPy

  • How NumPy can be used for arrays in statistics and math.

Pandas

  • How Pandas can be used for data analysis.

R

  • How to use R for managing different types of data.
  • How to use R for statistical data analysis.
  • How to use R to visualize data with plots and diagrams.

Self-paced Data Analytics Program

Start learning Data Analytics with the W3Schools program and lay the foundations of your programming skills. This program is a great foundation for you that wants to get started with Data Analytics. It covers Python, SQL, NumPy, Pandas, R, and Data Science.

Python is a popular object oriented programming language.

SQL is a standard language for storing, manipulating and retrieving data in databases.

NumPy is a Python library for using arrays in statistics and math.

Pandas is a Python library for data analysis.

R is a language for statistical computing and graphics. It provides an environment for data manipulation, calculation and visualization.

This is a structured and interactive version of the w3schools Python, SQL, NumPy, Pandas, R, and Data Science Tutorial together with the w3schools certification.

The program is a set of self-paced courses with text based modules, practical interactive examples and exercises to check your understanding as you progress. Complete the modules and the final certification exams to get the w3schools certification.

What You Get

7x Certifications:

  • Certified Python Developer
  • Certified SQL Developer
  • Numpy Fundamentals
  • Pandas Fundamentals
  • R Fundamentals
  • Data Science Fundamentals
  • Certified Data Analyst

The Certified Data Analyst certification is granted when all the above certifications are obtained!

Certificate of Completion

You get sharable certificates that can be added to your CV, Resume or LinkedIn.

Check out what it looks like in this example!

Three Reasons to Join the Program

1. Bite-sized learning

The training content is built to be easy to understand.

2. Increase your employability

Document your skills and knowledge with acknowledged certifications.

3. Save time and money

No deadlines. Study at your own pace.

Learn More

How it Works

Step 1. Course enrollment

Enroll by paying the enrollment fee and gain access to the course and final exam. There is no deadline to take the exam. All questions in the exam are based on W3Schools content.

Step 2. Complete the course learning modules

The courses are self-paced with text based modules, practical interactive examples and exercises to check your understanding as you progress. Complete the learning modules to unlock the final exam.

Step 3. Take the exams

The exams are taken at the end of each course after finishing the course learning modules. Immediately after completing the exam, you will be informed of your score and of your pass/fail status. You will get three attempts to pass each exam. You can use the new attempts to improve your score. The best result of the attempts will count.

Step 4: Become certified

Pass the exams and get your certifications and your Certified Developer titles! Each certificate gets a unique link that can be shared with others. Validate your certificates with a link or a QR code.

Learn More



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