Teach on Udemy

Turn what you know into an opportunity and reach millions around the world.

Learn More

Your cart is empty.

Keep shopping

SQL/MySQL Database Developer: Zero to Expert||Hindi|Urdu||

Name: SQL/MySQL Database Developer: Zero to Expert||Hindi|Urdu||
Rating: 3.9 (251 reviews)

Learn to write Complex SQL Quarries with MySQL EASIEST WAY in Hindi , Get Most In Demand Skill to Upgrade Your Career.

Created byDr. Ahmad Mohsin PhD

Last updated 11/2020

Hindi

What you'll learn

Create Complex Many to Many Relational Databases
Build A Web App Using Most Powerful Web Frame Work Django and mySQL
Write Complex SQL Quarries
Get the Most In demand Skill of the Time.
Learn Most Famous Database MySQL
Analyse Data using SQL Quarries

Course content

17 sections • 183 lectures • 17h 22m total length

Introduction to Course6:51
Lets Look at the Code7:23
About Quizzes and Exercise1:28
COURSE CHEAT SHEET DOWNLOAD0:01

Introduction to CRUD2:03
Preparing Our Data4:05
Official Introduction to SELECT4:38
Introduction to WHERE4:14
SELECT Challenges Solution5:43
Introduction to Aliases4:30
The UPDATE Command6:21
UPDATE Challenges Solution6:49
Introduction to DELETE5:39
DELETE Challenges Solution3:49
CREATE TABLE dog4
(

name VARCHAR(100) NOT NULL DEFAULT 'DEFAULT_dog4',
age INT NOT NULL DEFAULT 99,

);

SECTION4_Exercises

CREATE TABLE dog4
(

name VARCHAR(100) NOT NULL DEFAULT 'DEFAULT_dog4',
age INT NOT NULL DEFAULT 99,

);

CREATE TABLE dog7_key
(
dog_id INT NOT NULL AUTO_INCREMENT

,name VARCHAR(100)

,age INT

,PRIMARY KEY (dog_id)

);

INSERT INTO dog6_key(dog_id, name, age) VALUES(1,'D6',22);

CREATE TABLE class (
id INT AUTO_INCREMENT NOT NULL,
first_name VARCHAR(255) NOT NULL,
last_name VARCHAR(255) NOT NULL,
middle_name VARCHAR(255),
age INT NOT NULL,
Marks INT NOT NULL DEFAULT 0,
PRIMARY KEY(id)
);

Section Road Map1:34
THE SOURCE Command11:02
ls
SOURCE books.sql;
Loading Books Data7:24
CREATE TABLE books
(
book_id INT NOT NULL AUTO_INCREMENT,
title VARCHAR(100),
author_fname VARCHAR(100),
author_lname VARCHAR(100),
released_year INT,
stock_quantity INT,
pages INT,
PRIMARY KEY(book_id)
);

INSERT INTO books (title, author_fname, author_lname, released_year, stock_quantity, pages)
VALUES
('The Namesake', 'Jhumpa', 'Lahiri', 2003, 32, 291),
('Norse Mythology', 'Neil', 'Gaiman',2016, 43, 304),
('American Gods', 'Neil', 'Gaiman', 2001, 12, 465),
('Interpreter of Maladies', 'Jhumpa', 'Lahiri', 1996, 97, 198),
('A Hologram for the King: A Novel', 'Dave', 'Eggers', 2012, 154, 352),
('The Circle', 'Dave', 'Eggers', 2013, 26, 504),
('The Amazing Adventures of Kavalier & Clay', 'Michael', 'Chabon', 2000, 68, 634),
('Just Kids', 'Patti', 'Smith', 2010, 55, 304),
('A Heartbreaking Work of Staggering Genius', 'Dave', 'Eggers', 2001, 104, 437),
('Coraline', 'Neil', 'Gaiman', 2003, 100, 208),
('What We Talk About When We Talk About Love: Stories', 'Raymond', 'Carver', 1981, 23, 176),
("Where I'm Calling From: Selected Stories", 'Raymond', 'Carver', 1989, 12, 526),
('White Noise', 'Don', 'DeLillo', 1985, 49, 320),
('Cannery Row', 'John', 'Steinbeck', 1945, 95, 181),
('Oblivion: Stories', 'David', 'Foster Wallace', 2004, 172, 329),
('Consider the Lobster', 'David', 'Foster Wallace', 2005, 92, 343);
CONCAT Explained18:14
SELECT CONCAT(author_fname,' XX ',author_lname,'XX ',title) FROM books;

SELECT CONCAT_WS(' XX ',author_fname,author_lname,title) FROM books;
SUBSTRING Explained13:16
SELECT
SUBSTRING(title,1,5)
FROM books;
REPLACE Explained8:31
SELECT
REPLACE(title, ' ' , 'Space')
FROM books;
REVERSE Explained1:09
CHAR_LENGHT and UPPER Explained4:02
MySQL String Functions

Function Description

ASCII Returns the ASCII value for the specific character
CHAR_LENGTH Returns the length of a string (in characters)
CHARACTER_LENGTH Returns the length of a string (in characters)
CONCAT Adds two or more expressions together
CONCAT_WS Adds two or more expressions together with a separator
FIELD Returns the index position of a value in a list of values
FIND_IN_SET Returns the position of a string within a list of strings
FORMAT Formats a number to a format like "#,###,###.##", rounded to a specified number of decimal places
INSERT Inserts a string within a string at the specified position and for a certain number of characters
INSTR Returns the position of the first occurrence of a string in another string
LCASE Converts a string to lower-case
LEFT Extracts a number of characters from a string (starting from left)
LENGTH Returns the length of a string (in bytes)
LOCATE Returns the position of the first occurrence of a substring in a string
LOWER Converts a string to lower-case
LPAD Left-pads a string with another string, to a certain length
LTRIM Removes leading spaces from a string
MID Extracts a substring from a string (starting at any position)
POSITION Returns the position of the first occurrence of a substring in a string
REPEAT Repeats a string as many times as specified
REPLACE Replaces all occurrences of a substring within a string, with a new substring
REVERSE Reverses a string and returns the result
RIGHT Extracts a number of characters from a string (starting from right)
RPAD Right-pads a string with another string, to a certain length
RTRIM Removes trailing spaces from a string
SPACE Returns a string of the specified number of space characters
STRCMP Compares two strings
SUBSTR Extracts a substring from a string (starting at any position)
SUBSTRING Extracts a substring from a string (starting at any position)
SUBSTRING_INDEX Returns a substring of a string before a specified number of delimiter occurs
TRIM Removes leading and trailing spaces from a string
UCASE Converts a string to upper-case
UPPER Converts a string to upper-case
STRINGS Exercise BASIC10:49
Hi, Guys, As described in the intro of this video, Instead of making a single Video, i have divided exercises into Basic and Advanced. For Advanced Level of Exercise Switch to the Next Video.

Ex_1
SELECT REVERSE(UPPER('Hello World'));
Ex_2
SELECT
REPLACE
(
CONCAT('I',' ',' LIKE ',' ','MYSQL'),
' ',
'-'
);

Ex_3
SELECT
REPLACE(title, ' ', ' Space ') AS title
FROM books;
Ex_4
SELECT
REVERSE(author_fname) AS REVERSEfname,
REVERSe(author_lname) AS REVERSElanem
FROM books;
STRINGS Exercise ADVANCED11:21
Ex_5

SELECT
UPPER(CONCAT(author_fname,' ',author_lname))
FROM books;

Ex_6

SELECT
title,
CHAR_LENGTH(title)
FROM books;

Ex_7

SELECT
CONCAT(author_fname,' ',author_lname) AS Author,
CONCAT(SUBSTRING(title,1,6),'..and so on') AS 'short_Title',
CONCAT(stock_quantity, ' in stock') As Available_Books
FROM books;

Section 8 Adding BOOKS Data2:34
CODE:ADDING BOOKS DATA0:06
INSERT INTO books (title, author_fname, author_lname, released_year, stock_quantity, pages)
VALUES
('Fake_Book1', 'Fake1', 'Author1', 1945, 95, 100),
('Fake_Book2', 'Fake2', 'Author2', 2004, 172, 200),
('Fake_Book3', 'Fake3', 'Author3', 2005, 92, 300);
Accessing DISTINCT Entries6:35
CODE:Accessing DISTINCT Entries0:13

SELECT DISTINCT author_lname FROM books;

SELECT DISTINCT author_lname,author_fname FROM books;

SELECT DISTINCT CONCAT(author_lname,' ',author_fname) FROM books;

SELECT DISTINCT author_lname FROM books ORDER BY author_lname;
SELECT DISTINCT title FROM books ORDER BY title DESC;
SELECT DISTINCT title FROM books ORDER BY title ASC;

SELECT DISTINCT title,author_lname,released_year FROM books ORDER BY released_year DESC;
SELECT DISTINCT title,author_lname,released_year FROM books ORDER BY 3 DESC;
Organizing Data with ORDER BY14:21
CODE: ORDER BY0:14
SELECT DISTINCT author_lname FROM books ORDER BY author_lname;
SELECT DISTINCT title FROM books ORDER BY title DESC;
SELECT DISTINCT title FROM books ORDER BY title ASC;

SELECT DISTINCT title,author_lname,released_year FROM books ORDER BY released_year DESC;
SELECT DISTINCT title,author_lname,released_year FROM books ORDER BY 3 DESC;

SELECT DISTINCT title,author_lname,released_year FROM books ORDER BY released_year,author_lname DESC;
SELECT DISTINCT title,author_lname,released_year FROM books ORDER BY 3,2 DESC;
Limiting Data11:19
CODE: Limiting Data0:11
SELECT title FROM books LIMIT 3;

SELECT title, released_year FROM books ORDER BY released_year DESC LIMIT 3;

SELECT title, released_year FROM books ORDER BY released_year ASC LIMIT 3;

SELECT title, released_year FROM books ORDER BY released_year ASC LIMIT 4,6;

SELECT title, released_year FROM books ORDER BY released_year ASC LIMIT 4,6546546464564;
LIKE and WILD cards PARt_18:14
LIKE and WILD cards PART_29:19
code:LIKE and WILD cards0:07

SELECT title,author_fname FROM books WHERE author_fname LIKE '%ca%';

SELECT title,author_fname FROM books WHERE author_fname LIKE '%a%';

SELECT title,author_fname FROM books WHERE author_fname LIKE '%%%';

SELECT title,stock_quantity FROM books WHERE stock_quantity LIKE '___';

+39(312)645798 LIKE '+__(___)______'
%\%%
EXERCISE and SOLUTION Part_16:54
EXERCISE and SOLUTION Part_219:25
CODE: Sec 8 Solutions0:14
EX1
SELECT title FROM books WHERE title LIKE '%The%';
EX2

SELECT title, pages FROM books ORDER BY pages LIMIT 1;

EX3

SELECT
CONCAT(title, ' has ', pages, ' pages ') AS Overview
FROM books ORDER BY pages LIMIT 3;

EX4

SELECT title, released_year, stock_quantity
FROM books ORDER BY stock_quantity ASC LIMIT 3;

EX5

SELECT CONCAT(UPPER(author_fname),' ', UPPER(author_lname),' has ', stock_quantity,' in stock which was released in ',
released_year) AS Exercise5 FROM books ORDER BY released_year DESC;

Introduction to Section1:46
COUNT(*) Function Magic8:59
Code:COUNT(*) Function0:08
SELECT COUNT(*) FROM books;

SELECT COUNT(DISTINCT author_fname) FROM books;

SELECT COUNT(DISTINCT author_lname) FROM books;

SELECT COUNT(DISTINCT author_fname,author_lname) FROM books;

SELECT title FROM books WHERE title LIKE '%a%' ;

SELECT COUNT(*) FROM books WHERE title LIKE '%the%' ;
GROUP BY12:01
CODE:GROUP BY0:07

SELECT author_fname,author_lname FROM books;

SELECT author_lname, COUNT(*) FROM books GROUP BY author_lname;

SELECT author_lname,author_fname,COUNT(*) FROM books GROUP BY author_lname,author_fname ORDER bY COUNT(*) DESC;

SELECT released_year,COUNT(*) FROM books GROUP BY released_year ORDER bY COUNT(*) ASC;
Spices of MIN and MAX10:36
CODE:MIN and MAX0:08
SELECT MIN(released_year) FROM books;

SELECT MAX(released_year) FROM books;

SELECT MAX(pages) FROM books;

SELECT * FROM books WHERE pages=634;

SELECT title, pages FROM books WHERE pages=(SELECT MAX(pages) FROM books);

SELECT title,pages FROM books ORDER BY pages DESC LIMIT 1;
MIN and MAX with GROUP BY4:33
CODE: MIN and MAX with GROUP BY0:03
SELECT author_fname,author_lname,MIN(released_year) FROM books GROUP BY author_fname,author_lname;
SELECT author_fname,author_lname,MAX(pages) FROM books GROUP BY author_fname,author_lname;
Abundance of SUM6:03
Code:SUM0:07
SELECT SUM(pages) FROM books;

SELECT author_fname,author_lname,SUM(pages) FROM books GROUP BY author_fname,author_lname ORDER BY SUM(pages) ASC LIMIT 1;

SELECT author_fname,author_lname,SUM(pages) FROM books GROUP BY author_fname,author_lname ORDER BY SUM(pages) DESC LIMIT 1;
AVG of Average NOT bad6:16
CODE:AVG0:04

SELECT AVG(pages) FROM books;

SELECT released_year,AVG(pages) FROM books GROUP BY released_year;
SELECT author_fname,author_lname,AVG(pages) FROM books GROUP BY author_fname,author_lname;
SEC_9 MEGA EXERCISES and SOLUTION15:08
CODE:SEC_9 MEGA EXERCISES and SOLUTION0:09

SELECT COUNT(*) FROM books;

SELECT released_year, COUNT(*) FROM books GROUP BY released_year;

SELECT sum(stock_quantity) FROM books;

SELECT author_fname,author_lname, AVG(pages) FROM books GROUP BY author_lname,author_fname;

SELECT CONCAT(author_fname,' ',author_lname),pages FROM books WHERE pages=(SELECT MIN(pages)FROM books);

SELECT author_fname,author_lname,COUNT(*) AS books,AVG(pages) AS Avg_pages FROM books GROUP BY author_fname,author_lname;

Diving Deep into DataTypes.8:21
REFERENCE GUIDE TO DATETIME FUNCTIONS1:31
Table 12.13 Date and Time Functions

Name Description
ADDDATE() Add time values (intervals) to a date value
ADDTIME() Add time
CONVERT_TZ() Convert from one time zone to another
CURDATE() Return the current date
CURRENT_DATE(), CURRENT_DATE Synonyms for CURDATE()
CURRENT_TIME(), CURRENT_TIME Synonyms for CURTIME()
CURRENT_TIMESTAMP(), CURRENT_TIMESTAMP Synonyms for NOW()
CURTIME() Return the current time
DATE() Extract the date part of a date or datetime expression
DATE_ADD() Add time values (intervals) to a date value
DATE_FORMAT() Format date as specified
DATE_SUB() Subtract a time value (interval) from a date
DATEDIFF() Subtract two dates
DAY() Synonym for DAYOFMONTH()
DAYNAME() Return the name of the weekday
DAYOFMONTH() Return the day of the month (0-31)
DAYOFWEEK() Return the weekday index of the argument
DAYOFYEAR() Return the day of the year (1-366)
EXTRACT() Extract part of a date
FROM_DAYS() Convert a day number to a date
FROM_UNIXTIME() Format Unix timestamp as a date
GET_FORMAT() Return a date format string
HOUR() Extract the hour
LAST_DAY Return the last day of the month for the argument
LOCALTIME(), LOCALTIME Synonym for NOW()
LOCALTIMESTAMP, LOCALTIMESTAMP() Synonym for NOW()
MAKEDATE() Create a date from the year and day of year
MAKETIME() Create time from hour, minute, second
MICROSECOND() Return the microseconds from argument
MINUTE() Return the minute from the argument
MONTH() Return the month from the date passed
MONTHNAME() Return the name of the month
NOW() Return the current date and time
PERIOD_ADD() Add a period to a year-month
PERIOD_DIFF() Return the number of months between periods
QUARTER() Return the quarter from a date argument
SEC_TO_TIME() Converts seconds to 'hh:mm:ss' format
SECOND() Return the second (0-59)
STR_TO_DATE() Convert a string to a date
SUBDATE() Synonym for DATE_SUB() when invoked with three arguments
SUBTIME() Subtract times
SYSDATE() Return the time at which the function executes
TIME() Extract the time portion of the expression passed
TIME_FORMAT() Format as time
TIME_TO_SEC() Return the argument converted to seconds
TIMEDIFF() Subtract time
TIMESTAMP() With a single argument, this function returns the date or datetime expression; with two arguments, the sum of the arguments
TIMESTAMPADD() Add an interval to a datetime expression
TIMESTAMPDIFF() Subtract an interval from a datetime expression
TO_DAYS() Return the date argument converted to days
TO_SECONDS() Return the date or datetime argument converted to seconds since Year 0
UNIX_TIMESTAMP() Return a Unix timestamp
UTC_DATE() Return the current UTC date
UTC_TIME() Return the current UTC time
UTC_TIMESTAMP() Return the current UTC date and time
WEEK() Return the week number
WEEKDAY() Return the weekday index
WEEKOFYEAR() Return the calendar week of the date (1-53)
YEAR() Return the year
YEARWEEK() Return the year and week
CODE Diving Deep into DataTypes0:12
CREATE TABLE country (name_VARCHAR VARCHAR(15), short_name_CHAR CHAR(5));

INSERT INTO country (name_VARCHAR, short_name_CHAR) VALUES ('United Kingdom', 'UK');
SELECT * FROM country;

INSERT INTO country (name_VARCHAR, short_name_CHAR) VALUES ('United States', 'US');

INSERT INTO country (name_VARCHAR, short_name_CHAR) VALUES ('Italy', 'ITA');

SELECT * FROM country;

INSERT INTO country (name_VARCHAR, short_name_CHAR) VALUES ('Dummsdsdfsdfsdfsdf', 'DummY123');

SELECT * FROM country;
Breaking Numbers7:04
If You Cant FLOAT then DOUBLE3:10
CODE FLOAD and DOUBLE0:04
CREATE TABLE DECIML(price DECIMAL(5,2));
INSERT INTO DECIML(price) VALUES(8);
INSERT INTO DECIML(price) VALUES(654654);
INSERT INTO DECIML(price) VALUES(123.45);
INSERT INTO DECIML(price) VALUES(8.13236);
Its ALL ABOUT TIME5:52
Employees Attendance DATABASE5:36
CODE:Employees Attendance DATABASE0:09
DATETIME

CREATE TABLE attendance (name VARCHAR(100), entrydate DATE, entrytime TIME, entryDT DATETIME);

INSERT INTO attendance (name, entrydate, entrytime, entryDT)
VALUES('Lazy Worker', '2020-06-11', '08:07:35', '2020-06-11 08:07:35');

INSERT INTO attendance (name, entrydate, entrytime, entryDT)
VALUES('Sleepy Head', '2020-09-11', '10:30:35', '2020-06-11 10:30:35');

SELECT * FROM attendance;
POWER OF NOW()13:39
CODE:POWER of NOW0:12
DATETIME

CREATE TABLE attendance (name VARCHAR(100), entrydate DATE, entrytime TIME, entryDT DATETIME);

INSERT INTO attendance (name, entrydate, entrytime, entryDT)
VALUES('Lazy Worker', '2020-06-11', '08:07:35', '2020-06-11 08:07:35');

INSERT INTO attendance (name, entrydate, entrytime, entryDT)
VALUES('Sleepy Head', '2020-09-11', '10:30:35', '2020-06-11 10:30:35');

SELECT * FROM attendance;
INSERT INTO attendance (name, entrydate, entrytime, entryDT)
VALUES('Late Commer', CURDATE(), CURTIME(), NOW());
WHEN DAYS ARE NUMBERED11:36
CODE: Arithmetic on DATETIME0:07
DATE_FORMAT
SELECT DATE_FORMAT(entryDT,'%m/%d/%y') FROM attendance;

DATEDIFF() Return Number of days
SELECT name,entryDT,DATEDIFF(NOW(),entryDT) FROM attendance;
DATE_ADD()
SELECT name,entryDT,DATE_ADD(entryDT,INTERVAL 1 MONTH) FROM attendance;
+/-
SELECT name,entryDT,entryDT + INTERVAL 3 MONTH + INTERVAL 5 HOUR + INTERVAL 53 MINUTE FROM attendance;
STAMP IT WITH TIME8:55
CODE: STAMP IT WITH TIME0:09
CREATE TABLE obervation(content VARCHAR(100)),created_at TIMESTAMP DEFAULT NOW());

INSERT INTO observation(content) VALUES('Hi, I arrived before 7 Oclock today');
INSERT INTO observation(content) VALUES('Hi, I arrived before 6 Oclock today in the Morning');
INSERT INTO observation(content) VALUES('Hi, I arrived before 8.30 Oclock today');

SELECT * FROM observation;
MEGA KING KONG EXERCISE with SOLUTION11:07
CODE:MEGA KING KONG EXERCISE with SOLUTION0:15
XERCISE:SEC 10

CHAR AND VAR_CHAR BOTH ARE STRING DATA TYPE

23.36 is a INT

FLOATING AND DOUBLE DATA TYPES ONLY DIFFER IN PRECISION

Exercise:Final

CREATE TABLE obsrvation1(name VARCHAR(100),content VARCHAR(100),created_at TIMESTAMP DEFAULT NOW());

INSERT INTO obsrvation1(name,content) VALUES('Lazy Head','Hi, I arrived before 7 Oclock today');
INSERT INTO obsrvation1(name,content) VALUES('Sleepy Fellow','Hi, I arrived before 6 Oclock today in the Morning');
INSERT INTO obsrvation1(name,content) VALUES('Chuck Norris','Hi, I arrived before 8.30 Oclock today');

SELECT * FROM obsrvation1;

Requirements

No Programming Experience Required
No SQL, or MySQL Experience required
PC or Laptop with Internet Connection
A Smile....:)

Description

As Ex-Assistant Professor,I distilled all my experience in this course,This course is not watch me over the shoulder, but full of exercises, challenges and quizzes and you will get your hands dirty with coding from the beginning.

Are your Confused about MySQL and SQL? MySQL is Database Management System, while SQL is a language.

Do you want to learn SQL and but you dont know where to start.Do you want to learn MySQL but are too intimidated. Skills you will learn here can apply to MongoDB, PostgresSQL,and many more.

You want to get the most in demand skill by recent employer Survey,but, don't know which is the most comprehensive course. Congratulations.

You have made the right choice,

This course will take you from beginner from No, Coding or Database experience in SQL and MySQL to an professional level where You will easily be able to understand and use concepts like Aggregate functions, Many to Many relations and Much More advanced concepts along with their application to real world databases which will be provided in the course.

In this course along with many things, you learn

1- Analysed a Linkedin Database

2- Write Quarry and Built Udemy Course review App.

3- Built MySQL/SQL powered Web Application as Bonus Section.

4- Solve More than 120 Exercises and Challenges.

5- You will work with large databases mimicking real world application.

6- 17 Hours of exhaustive SQL Programming in which you will learn to see data from different perspective.

7- Entire Sections Dedicated to Exercises and Challenges which will test your Knowledge.

8- You will learn about Django Web Frame work and How to connect it with MySQL as Bonus

9- You will learn how to write and Execute SQL Quarries in Python code As Bonus.

Here is what other Students like you say about this course.

Aditya Bohra-5 Stars

Easy Explanation given by the sir, I am very thankful to the sir because the fear of coding for me is gone now , The way of teaching is really awesome. This course is really good for the beginners.

Gaurav kumar-5 Stars

this great course in Hindi. you should make a course for python.

Prasad Gundelli-5 Stars

I literally loved the way of explanation.

Sajid Shaikh-5 Stars

Explanations were crystal clear and tutor is friendly as well, really loved this course. Would recommend for people who speak Urdu and Hindi

Xmart Rocky-5 Stars

Amazing Course With Funniest Teacher.

This course comes with Udemy's 30 days Money Back guarantee, This is the deal you can never go wrong

I have 100% response rate , so I will always be there to respond to your questions. And of course after Completing this course not only you will built your portfolio but also get Certificate of completion which you can post on your linked Profile and Attract potential Employers.

Enroll now and lets get started...

Who this course is for:

SQL Developer, Database administrator , Data Scientists and Machine Learning Students
People Looking to Solve Complex Business Problems using Power of Data and Generate Reports
Sales and Marketing Personnel looking to enhance their Capability using Power of Data and Generate Reports
Web App Developer looking to Build Web Apps for the Future
People Interested in getting the most in demand Skill and Upgrade their Career.

SQL/MySQL Database Developer: Zero to Expert||Hindi|Urdu||

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 16min

Installations and Getting Started7 lectures • 37min

Creating Databases and Tables10 lectures • 58min

Learning to Insert Data into Tables9 lectures • 1hr 5min

CRUD commmands10 lectures • 48min

MEGA EXERCISES ABOUT ALL WE KNOW4 lectures • 22min

All About STRINGS10 lectures • 1hr 27min

ADVANCED SELECTIONS14 lectures • 1hr 20min

Aggregate Functions15 lectures • 1hr 6min

DIVING DEEP INTO DATA17 lectures • 1hr 18min

Requirements

Description

Who this course is for: