What I will learn ?

Basics - Datatypes and Variables

Operators and Expressions

Conditional Statements

Loops

Pointers

Functions

Function Overloading

Oops Concepts

Classes and Objects

Constructors

Destructors

Operator Overloading

Inheritance

Polymorphism

Abstract Classes

Function Overriding

Friend Members

Static Members

Inner Classes

Templates

Exception Handling

I/O Streams

STL

Lambda Expressions

Features on Modern C++ 11

Student Project

Who this course is for:
Beginners - (Concepts are Covered from Basics to Advance)
Course Covers more than University Syllabus.
If you already know C++ then you will definitely improve your understanding of programming and OOPs concepts

If you want to learn how to gain insights from data but are too intimidated by databases to know where to start, then this course is for you. This course is a gentle but comprehensive introduction to MySQL, one of the most highly in-demand skills in the business sector today. Whether you work in sales or marketing, you run your own company, or you want to build your own apps, mastering MySQL is crucial to answering complex business problems and questions using insights from data. The Ultimate MySQL Bootcamp introduces you to a solid foundation in databases in a way that’s both informative and engaging. Yes, that’s right, it’s possible to make an engaging course on databases. In this course, you will: Learn the ins and outs of SQL syntax Generate reports using sales and user data Analyze data using Aggregate Functions Run complex queries using MySQL logical operators and string functions Write all the common SQL joins Work with large datasets containing thousands of entries Design and implement complex database schemas Learn to navigate the treacherous world of storing dates and times Clone the database structure of a photo sharing social network Work with MySQL 8.x Window Functions: RANK, LEAD, LAG, NTILE, etc. Create MySQL database views and virtual tables This course is also chock full of exercises, challenges, projects, and opportunities for you to practice what you’re learning. Apply what you’re learning to real-world challenges such as finding a website’s power users, calculating your top students, identifying bots on a site, or determining which hashtags generate the most traction on a site. Along the way, you’ll also get to meet my pet cat, Blue! (She’s really cute.) Why Learn MySQL Consistently ranked the most in-demand skill in recent employer surveys, SQL is a fantastic way to increase your income and boost your professional development. So many companies today use MySQL, including Twitter, Uber, Airbnb, Dropbox, Github, Kickstarter, Udemy, Slack, and many others. Unsure about the difference between SQL and MySQL? MySQL is the most popular open source SQL database out there, so it’s a great choice to begin your learning journey. We’ll talk a lot more about the difference between SQL and MySQL in the course, but 95% of what you learn about MySQL in this course will apply to other databases such as Postgres, Oracle, and Microsoft SQL Server. Why This Course Is Different This isn’t going to be a course where you watch me code for 20 hours; it’s a course with ample opportunity for you to get your hands dirty writing code (even within the first 7 minutes of the course). My teaching experience is rooted in the classroom. I’ve spent years teaching programming, web development, and databases to my in-person bootcamp students. This course combines the best of my offline courses with the convenience of learning online, in a setting that’s best for you. Upon completing this course, you’ll be able to interact with and query any SQL database out there. You’ll also be able to generate reports with ease, answer company performance questions using data, and integrate MySQL into complete applications. So let’s do this! Enroll today and start learning SQL! Who this course is for: Anyone interested in learning SQL to help with their current job or to find a new role. SQL is one of today's most in-demand skills Anyone looking to answer complex business problems and generate reports using data Business owners, people in sales, or people in marketing roles who are interested in understanding company data better. Developers who are looking to build applications (e.g. social network, ecommerce site) using MySQL

Summary of what you'll get

Over 20 hours of video teaching and training.

Learn to set up local development environments to play with Wordpress websites in private, on your own computer.

Evaluate and choose hosting for your own websites and client sites, with insights from 15 years of hosting client websites.

Free extended hosting trials at SiteGround and Flywheel for performing coursework and hosting your website experiments.

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In this course, you are going to learn JavaScript really from scratch.
Well, there are lots of courses available to teach you JavaScript but most of them use complicated words and English.
In this course you will learn JavaScript really from the basics with simple English language.
We are going to cover all the necessary topics that you need to learn to become a master in the JavaScript course.
But what actually are you going to learn? we will start from the environment setup of the editor. Then we will understand what is JavaScript and History.

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Get away from courses that take ages to finish and lose your interest in the middle. In this course, you will get a step-by-step guide to creating professional grade Android N apps, with a real-world case study. In the first section, we’ll create a strong architectural background for your app. You’ll be able to edit and customize the foundations of the app so it’s transferable between different projects. Then, you’ll learn the most productive ways to save and read data on Android with the Room framework, ObjectBox, and the Firebase database. The third section is about utilizing efficient data structures to maintain speed, even when the amount of data is huge.
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Introduction to Python for Cybersecurity :
   - The book explains how to use Python to build tools for penetration testing, starting from the basics to developing advanced tools. Python is favored in this field due to its flexibility and the abundance of libraries that support various scanning and attack techniques.

Network Control and Scanning Tools :
   - It covers how to create custom tools for network scanning and communication using libraries like socket and scapy. This includes programming network scans, port scans, and identifying devices connected to the network.

Programming Trojans:
   - The book explains how to build malicious applications using Python, and how to make them run in the background without the user noticing. These applications can steal data or open backdoors for remote control of the compromised device.

Social Engineering Tools:
   - It discusses how to use Python to automate social engineering attacks, such as phishing for passwords by programming fake login pages. The tools include techniques for impersonation and manipulating users to gather sensitive information.

Network Sniffing and Analysis :
   - The book covers methods for network sniffing and how to capture and analyze data traveling over networks. Python is used to create custom tools for monitoring traffic and analyzing network packets.

Bypassing Security Measures :
   - It explains how to develop tools to bypass security systems like firewalls and intrusion detection systems. This involves manipulating network protocols and creating advanced attacks to evade these protections.

Building Exploits:
   - The book discusses how to build tools to exploit security vulnerabilities in applications and operating systems, such as buffer overflow vulnerabilities and remote code execution attacks.

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.