Complete CSS, Python and Microsoft SQL Course from scratch

Web Design and Development Complete Course with CSS, Python Programming and Microsoft SQL Database

Created by : Rated :4 735 views

Last Updated: 2022-08-31 05:08:16 English Course Type: Self Learning

Build coding for Data Science applications
Get a job as a junior web developer
Create your own stunning, layouts for awesome websites
Preparing Python coding for Data Science projects and Libraries
Master client-end design using CSS, back-end development Python coding with Microsoft SQL
Apply CSS, Python for data science and Microsoft SQL database queries on real-world tasks
Create fully function web apps using Python, CSS and Microsoft SQL
Write master code on machine learning and analytical programs

In this course, we will learn the basic tools that every Web developer needs to know. We will start from the scratch by learning how to implement modern web development with CSS, Python and Microsoft SQL.

Learn to code CSS3, Python and Microsoft SQL is The first step to Coding you need to learn to succeed in web development, it is easy to learn and understand our online CSS, Python and Microsoft SQL Training course is designed for you with the complete steps to require learn Complete Developer topics. Mr. Sekhar Metla [MCP - Microsoft Certified Professional] will explain to you even complex topics to simplify and teach you even beginners can easily understand with real-time examples.

At this Development course is without a doubt the most comprehensive web development course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Here's why:

The course is taught by the lead instructor having 20+ years of professional experience.

Become a Full-Stack Web Developer with just ONE course. Web Design and Development Complete Course with CSS, Python Programming and Microsoft SQL Database

The course has been updated to be trending technology ready and you'll be learning the latest tools and technologies used at large companies such as Apple, Facebook, Google and Netflix.

What is Python:

Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected.

The curriculum was developed over a period of four years, with comprehensive student testing and feedback who are working and applying these coding examples.

We've taught many students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup.

We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a web developer.

The course includes HD video tutorials and builds your programming knowledge while making real-world websites and web apps.

Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:

CSS3

Front-End Web Development

Client-side style

Font styles

Box model

Animations

Forms

Shadows

Calculation

and more..

Python [Programming for Data Science]

Variables

Data types

Statements

Control flow statements

Code Development

Sequences

Sets

Tuples

Lists

Dictionaries

KW arguments

Web Design

Functions

Object oriented programming [OOPs]

Classes, Objects

Methods

Inheritance

Polymorphism

Abstraction

Access Modifiers

Encapsulation

Error Handling

and more..

Microsoft SQL

SQL installation

Database

Tables

SQL functions

SQL statements

SQL operators

SQL joins

SQL advanced

Timestamps

filtering data

analyzing data

grouping data

Reports

and more..

By the end of this course, you will be fluently programming and be ready to make any website you can dream of.

HD Video Lectures
Code Challenges and Coding Exercises
Beautiful Real-World dynamic Projects

ABOUT YOUR INSTRUCTOR

Sekhar Metla is a software engineer with 20 years of professional experience. He is the author of several online-selling courses with more than 30,000+ students in many countries. He has a Master of Science in Computer Applications as Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching.

What are you waiting join now to start learning how to make your Data Science Developer Career TODAY :)

No programming experience needed. You will learn everything you need to know
No software is required in advance of the course (all software used in the course is free)
No pre-knowledge is required - you will learn from basic

Beginner CSS, Python coding and Microsoft SQL developers curious about data science development
Anyone who wants to generate new income streams
Anyone who wants to build websites
Anyone who wants to become financially independent
Anyone who wants to start their own business or become freelance
Anyone who wants to become a Full stack web developer

Section 1 : Introduction 7 Lectures 00:28:49
Lecture 1 :
Introduction Preview
Lecture 2 :
How to ask great questions
Lecture 3 :
Introduction CSS
Lecture 4 :
Choosing Code Editor
Lecture 5 :
Installing Code Editor (Sublime Text)
Lecture 6 :
CSS Syntax
Lecture 7 :
Creating a first page with CSS Style
Section 2 : CSS Basic 12 Lectures 01:17:08
Lecture 1 :
Inline CSS
Lecture 2 :
Internal CSS
Lecture 3 :
External CSS
Lecture 4 :
CSS Classes
Lecture 5 :
CSS IDs
Lecture 6 :
Colors
Lecture 7 :
Backgrounds
Lecture 8 :
Floating
Lecture 9 :
PosiPositioning tioning
Lecture 10 :
Margins
Lecture 11 :
Padding
Lecture 12 :
Borders
Section 3 : CSS Intermediate 11 Lectures 01:37:54
Lecture 1 :
Styling Text
Lecture 2 :
Aligning Text
Lecture 3 :
Styling Links
Lecture 4 :
Font Styles
Lecture 5 :
Font Family
Lecture 6 :
Applying Google Fonts
Lecture 7 :
Box Model
Lecture 8 :
Icons
Lecture 9 :
Tables
Lecture 10 :
Navigation-Menu
Lecture 11 :
Dropdowns
Section 4 : CSS Advanced 11 Lectures 00:57:46
Lecture 1 :
Advanced Selectors
Lecture 2 :
Forms
Lecture 3 :
Website Layout
Lecture 4 :
Rounded Corners
Lecture 5 :
Color Keywords
Lecture 6 :
Animations
Lecture 7 :
Pseudo Classes
Lecture 8 :
Gradients
Lecture 9 :
Shadows
Lecture 10 :
Calculations
Lecture 11 :
Creating Responsive Page
Section 5 : CSS Expert 7 Lectures 00:44:18
Lecture 1 :
Button Styles
Lecture 2 :
Pagination
Lecture 3 :
Multiple Columns
Lecture 4 :
Image Reflection
Lecture 5 :
UI - UX Design
Lecture 6 :
Social Media Icons
Lecture 7 :
External CSS style adding
Section 6 : Python Introduction 8 Lectures 00:42:09
Lecture 1 :
Introduction to Python
Lecture 2 :
Python vs. Other Languages
Lecture 3 :
Why Its Popular
Lecture 4 :
Command Line Basics
Lecture 5 :
Python Installation (Step By Step)
Lecture 6 :
PyCharm IDE Installation
Lecture 7 :
Getting Start PyCharm IDE
Lecture 8 :
First Python Hello World Program
Section 7 : Python Basics 5 Lectures 00:48:18
Lecture 1 :
Variables
Lecture 2 :
Data Types
Lecture 3 :
Type Casting
Lecture 4 :
User Inputs
Lecture 5 :
Comments
Section 8 : Python Strings 5 Lectures 00:27:22
Lecture 1 :
Strings
Lecture 2 :
String Indexing
Lecture 3 :
String Slicing
Lecture 4 :
String Built-in Functions
Lecture 5 :
Formatting String (Dynamic Data)
Section 9 : Python Operators 7 Lectures 00:28:19
Lecture 1 :
Arithmetic Operators
Lecture 2 :
Assignment Operators
Lecture 3 :
Comparison Operators
Lecture 4 :
Logical Operators
Lecture 5 :
AND Operator
Lecture 6 :
NOT Operator
Lecture 7 :
Booleans
Section 10 : Python Data Structures 17 Lectures 00:44:26
Lecture 1 :
Arrays in Earlier
Lecture 2 :
Lists
Lecture 3 :
Add List Items
Lecture 4 :
Remove List Items
Lecture 5 :
Sort Lists
Lecture 6 :
Join Lists
Lecture 7 :
Tuples
Lecture 8 :
Update tuples
Lecture 9 :
Join tuples
Lecture 10 :
Dictionaries
Lecture 11 :
Add Dictionary Items
Lecture 12 :
Remove Dictionary Items
Lecture 13 :
Nested Dictionaries
Lecture 14 :
Sets
Lecture 15 :
Add Set Items
Lecture 16 :
Remove Set Items
Lecture 17 :
Join Set Items
Section 11 : Python Conditional Statements 4 Lectures 00:16:07
Lecture 1 :
If Statement
Lecture 2 :
If-else Statement
Lecture 3 :
If-elif-else Statement
Lecture 4 :
If Statement Coding Exercise
Section 12 : Python control flow statements 6 Lectures 00:33:01
Lecture 1 :
Flow Charts
Lecture 2 :
While Loops Statement
Lecture 3 :
For Loops Statement
Lecture 4 :
The range() Function
Lecture 5 :
Nested Loops
Lecture 6 :
2D List using Nested Loop
Section 13 : Python core games 2 Lectures 00:16:54
Lecture 1 :
Guessing Game
Lecture 2 :
Car Game
Section 14 : Python Function 3 Lectures 00:14:10
Lecture 1 :
Creating a Function
Lecture 2 :
Calling a Function
Lecture 3 :
Function with Arguments
Section 15 : Python args, KW args for Data Science 2 Lectures 00:10:06
Lecture 1 :
args, Arbitary Arguments
Lecture 2 :
kwargs, Arbitary Keyword Arguments
Section 16 : Python Project 2 Lectures 00:16:52
Lecture 1 :
Project Overview
Lecture 2 :
ATM Realtime Project
Section 17 : Python Object oriented programming [OOPs] 5 Lectures 00:39:21
Lecture 1 :
Introduction to Class
Lecture 2 :
Create a Class
Lecture 3 :
Calling a Class Object
Lecture 4 :
Class Parameters - Objects
Lecture 5 :
Access Modifiers(theory)
Section 18 : Python Methods 7 Lectures 00:45:50
Lecture 1 :
Introduction to methods
Lecture 2 :
Create a method
Lecture 3 :
Method with parameters
Lecture 4 :
Method default parameter
Lecture 5 :
Multiple parameters
Lecture 6 :
Method return keyword
Lecture 7 :
Method Over loading
Section 19 : Python Class and Objects 3 Lectures 00:19:28
Lecture 1 :
Introduction to OOPs
Lecture 2 :
Classes and Objects
Lecture 3 :
Class Constructors
Section 20 : Python Inheritance and Polymorphism 5 Lectures 00:35:43
Lecture 1 :
Introduction
Lecture 2 :
Inheritance
Lecture 3 :
Polymorphism
Lecture 4 :
Assessment Test
Lecture 5 :
Solution for Assessment Test
Section 21 : Python Encapsulation and Abstraction 4 Lectures 00:16:43
Lecture 1 :
Introduction
Lecture 2 :
Access Modifiers (public, protected, private)
Lecture 3 :
Encapsulation
Lecture 4 :
Abstraction
Section 22 : Python OOPs Games 2 Lectures 00:13:15
Lecture 1 :
Dice Game
Lecture 2 :
Card and Deck Game Playing
Section 23 : Python Modules and Packages 5 Lectures 00:27:07
Lecture 1 :
PIP command installations
Lecture 2 :
Modules
Lecture 3 :
Built-in Modules
Lecture 4 :
Packages
Lecture 5 :
Reading CSV files
Section 24 : Python Error Handling 3 Lectures 00:21:33
Lecture 1 :
Errors – Types of Errors
Lecture 2 :
Try - Except Exceptions Handling
Lecture 3 :
Try-Except-Finally Blocks
Section 25 : Microsoft SQL Introduction 6 Lectures 00:30:55
Lecture 1 :
Introduction
Lecture 2 :
Overview of Databases
Lecture 3 :
MSSQL Installation
Lecture 4 :
MSSQL SSMS Installation
Lecture 5 :
Connecting to MS-SQL (Windows Authentication)
Lecture 6 :
Connecting to MS-SQL (SQL Server Authentication)
Section 26 : MS SQL Statements 5 Lectures 00:48:15
Lecture 1 :
SQL statement basic
Lecture 2 :
SELECT Statement
Lecture 3 :
SELECT DISTINCT
Lecture 4 :
Column AS Statement
Lecture 5 :
COUNT
Section 27 : MS SQL Filtering Data 7 Lectures 01:06:04
Lecture 1 :
SELECT WHERE Clause – One
Lecture 2 :
SELECT WHERE Clause – Two
Lecture 3 :
ORDER BY
Lecture 4 :
TOP in MSSQL
Lecture 5 :
BETWEEN
Lecture 6 :
IN Operator - Condition
Lecture 7 :
LIKE
Section 28 : MS SQL Functions 6 Lectures 01:07:57
Lecture 1 :
Overview of GROUP BY
Lecture 2 :
Aggregation Function – SUM()
Lecture 3 :
Aggregation Function – MIN()-MAX()
Lecture 4 :
GROUP BY – One(theory)
Lecture 5 :
GROUP BY – Two(practical)
Lecture 6 :
HAVING
Section 29 : MS SQL Joins 8 Lectures 00:58:26
Lecture 1 :
Overview of JOINS
Lecture 2 :
Introduction to JOINS
Lecture 3 :
AS Statement
Lecture 4 :
INNER Join
Lecture 5 :
Full Outer Join
Lecture 6 :
Left Outer Join
Lecture 7 :
Right Outer Join
Lecture 8 :
Union
Section 30 : MS SQL Advanced commands 6 Lectures 00:57:15
Lecture 1 :
Basic of Advanced SQL Commands
Lecture 2 :
Timestamp
Lecture 3 :
Extract from Timestamp
Lecture 4 :
Mathematical Scalar Functions
Lecture 5 :
String Functions
Lecture 6 :
SubQuery
Section 31 : MS SQL Structure and Keys 6 Lectures 00:20:35
Lecture 1 :
Basic of Database and Tables
Lecture 2 :
Data Types
Lecture 3 :
Select Datatype on SSMS
Lecture 4 :
How to set Primary Key
Lecture 5 :
How to set Foreign Key
Lecture 6 :
Create Table using SQL Script
Section 32 : MS SQL Queries 3 Lectures 00:00:00
Lecture 1 :
Insert query
Lecture 2 :
Update query
Lecture 3 :
Delete query
Section 33 : MS SQL Structure queries 2 Lectures 00:00:00
Lecture 1 :
Alter Table
Lecture 2 :
Drop Table
Section 34 : MS SQL Constraints 3 Lectures 00:11:15
Lecture 1 :
Check Constraint
Lecture 2 :
NOT NULL Constraint
Lecture 3 :
UNIQUE Constraint
Section 35 : MS SQL Backup and Restore 3 Lectures 00:00:00
Lecture 1 :
Overview of Database and Tables
Lecture 2 :
Creating a Database backup using SSMS
Lecture 3 :
Restoring a Database from backup using SSMS

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Sekhar Metla (Microsoft Certified Professional) Sudha,

515836 Course Views

64 Courses

I am M. Sudha Sekhar, I am a Teacher and a Web Developer, and I am also passionate to teach every single real-time step that leads students as well as professionals to become successful with their carrier. What we know about web development and technologies: * Front-End web development: HTML, CSS, Bootstrap, JavaScript, Ajax and more... * Code-End web development: Asp.Net, C#, Python and PHP and more... * Back-End development: MS SQL, MySQL, PostgreSQL, MongoDB, MariaDB and more... * Operating Systems / Servers: RHEL - LINUX, Ubuntu, CentOS, Windows and more... Start solving your challenge now | Enroll today and learn real-time practical courses. I am passionate about: * Teaching students the correct way. * Making things simple and easy to understand. * Offering the best audio and video qualities to my courses. * Real-time Examples who will understand real-time skills easily. * Most of the Lectures will be practical way demonstrations using real-world solutions