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[100% OFF] Complete MySQL Course: Beginner to Advanced

Complete MySQL course. Learn MySQL from scratch and go from beginner to advanced in MySQL.
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[100% OFF] Complete Machine Learning with R Studio - ML for 2020 Free

You're looking for a complete Machine Learning cou... Morerse that can help you launch a flourishing career in the field of Data Science & Machine Learning, right? You've found the right Machine Learning course! After completing this course you will be able to: · Confidently build predictive Machine Learning models to solve business problems and create business strategy · Answer Machine Learning related interview questions · Participate and perform in online Data Analytics competitions such as Kaggle competitions Check out the table of contents below to see what all Machine Learning models you are going to learn. How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning. Why should you choose this course? This course covers all the steps that one should take while solving a business problem through linear regression. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Below is a list of popular FAQs of students who want to start their Machine learning journey- What is Machine Learning? Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. What are the steps I should follow to be able to build a Machine Learning model? You can divide your learning process into 3 parts: Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part. Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python Understanding of models - Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you. Why use R for Machine Learning? Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R 1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing. 2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R. 5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Who this course is for: People pursuing a career in data science Working Professionals beginning their Data journey Statisticians needing more practical experience Less
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[100% OFF] JavaScript + ES6 + ES7 + ES8 + ES9 -> The Complete Guide Free

Welcome to my new course: 'JavaScript + ES6 + ES7 ... More+ ES8 + ES9 -> The Complete Guide'. This course starts from scratch, you neither need to know any pre-requisite programming knowledge nor any language expertise. From the environment Setup to Development, this course covers almost each and every concept required to become an expert JavaScript developer. Having a deep-dive of the concepts in this course, you'll learn all about: JavaScript: Development Environment Setup Fundamentals Operators Control Flow Arrays Functions Objects Prototypes Patterns To Create Objects Error Handling Miscellaneous Objects Debugging in Chrome Shopping Cart Project: Putting All Together ES6: Features with their Syntax Modules Class Symbols Iterators & Generators Promises Maps & Sets Extensions of Built-in Objects Reflect API Proxy API ES7: New Features ES8: New Features ES9: New Features World Weather Project: Putting All Together Course Roundup and many more... This course will assist: In becoming an proficient 'JavaScript Developer' and Inclining towards the learning/ understanding of any client/ server side programming language. Why JavaScript? JavaScript (JS) is a lightweight, interpreted or JIT compiled programming language with first-class functions. Most well-known as the scripting language for Web pages, many non-browser environments also use it, such as Node.js and Apache CouchDB. JS is a prototype-based, multi-paradigm, dynamic scripting language, supporting object-oriented, imperative, and declarative (e.g. functional programming) styles. The standard for JavaScript is ECMAScript. As of 2012, all modern browsers fully support ECMAScript 5.1. Older browsers support at least ECMAScript 3. On June 17, 2015, ECMA International published the 6th major version of ECMAScript, ECMAScript 2015. Since then, ECMAScript standards are on yearly release cycles. This course covers up to the latest version of JavaScript, which is currently ECMAScript 2019. Why we should learn JavaScript & the reasons are: Open Source Language: Freely Available. Much more than Scripting programming language. Scalability and Performance Features. Evolving steadily & ES6 represents the BEST !!! Much JavaScript-related innovation in the Market. Base of most of the frameworks like Angular. Supported by a broad coalition of companies. Who this course is for: Be a JS Ninja by understanding the most popular programming language in the world viz. JavaScript. Newcomer as well as experienced having the experience with JavaScript (ES5/ ES6) and know the basics of the language. Understanding the new Features and Additions, brought by ES6 (including ES5) to JavaScript. Understand the basics to move head with the popular libraries/frameworks like jQuery, React, Angular or NodeJS. Understand how JavaScript actually works internally. Less
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[100% OFF] Python Complete Course For Python Beginners Free

Learn Python From Beginner To Advanced Level I... Moreve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb. The course starts with the basics, including Python fundamentals, programming, and user interaction. The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world. The topics covered in this course are: * Beginner to Expert Python contents: Array implementation File methods Keywords and Identifiers Python Tuples Python Basics Python Fundamentals Data Structures Object-Oriented Programming with Python Functional Programming with Python Lambdas Decorators Generators Testing in Python Debugging Error Handling Regular Expressions Comprehensions Modules See you inside the course! Less
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[100% OFF] Socket Programming in Python | Socket Programming Course Free

Welcome to this course on Python Socket Programmin... Moreg Tutorial. In this video we will see the Basics of Networking. The goal of this Socket programming tutorial is to learn how to build client/server applications that communicate using sockets. We are going to look at a bunch of application level protocols (HTTP, DNS, FTP, SMTP, POP, IMAP, ..). The Objective of this course is to understand principles of networking, learn TCP and UDP features, learn to implement Python programs to access networking functionality. We will see Python examples of client and server program structures etc. In this Course you will learn Basics of Networking, Basics of Sockets | What is a Socket?, Write Your First Socket Program using Python socket module, TCP/IP Client and Server, Build a Python Socket Client with Example, UDP Client/Server Socket in Python with Example, Make a Multithreaded Socket Server, Socket Server with Multiple Clients Less
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[100% OFF] Web Development Masterclass - Complete Certificate Course Free

This course offers a comprehensive look into the e... Morentire web development process - from local server configuration using WAMP and MAMP (Apache, MySQL, PHP) to production deployment using the latest web technologies including: LAMP Stack (Linux, Apache, PHP and MySQL) for Ubuntu, HTML5, CSS, Bootstrap, JavaScript, jQuery, XML, and AJAX. The content is ideal for those interested in working as a web developer, launching a web application, or devoted enthusiasts. The concepts explored in this course are suitable for individuals of all skill levels. Each module starts with the fundamental concepts and gradually transitions into more advanced material. What makes this course unique? This course is specifically intended to teach students to develop web applications using the most efficient methods and the latest web technologies. Through live demonstrations we teach the importance of using scalable cloud hosting infrastructures during the development process. This includes small informational websites of only a few pages to advanced 'big data' style, dynamic web applications. We go through several live examples of web development and Linux based server configurations on popular Cloud hosting providers such as Linode. Section 1 & 2 (Introduction, How the Internet Works) The course begins with with an overview of learning objectives. We then explore how the internet works, including the composition and transmission of data packets over both local and wide-area Networks. Next we take a look at the HTTP and HTTPS protocols as applicable to client and server side communications - including DNS Lookups. This section will also teach students how email exchange works over SMTP and IMAP. The role of Network Ports and Firewalls are also introduced. Section 3, 4: (The Web Development Process, Planning a Website) Students will gain an understanding of all the steps involved in the web development process. Section 5: Web Hosting and System Requirements We conduct an in-depth case analysis of web hosting solutions including: Shared, Virtual Private, Dedicated and Cloud Hosting. We provide an overview of various packages offered by different web hosting companies and weigh the pros and cons of each one. Students are also introduced to the importance of web server scalability and the advantages of cloud hosting over traditional hosting services. We also examine the infrastructure requirements of popular, resource intensive applications such as Netflix and Facebook to emphasize the importance of avoiding costly mistakes in the initial stages of development. Section 6: Domain Names We provide an overview of the domain name registration process. This includes the role of registrars and TLD (Top Level Domain) administration by ICANN. ccTLD's (Country Code Top Level Domains) are also explored. Students gain hands-on experience with the registration process using popular domain registrars. We provide a comparison of different registrars and register a sample domain name using GoDaddy. Other topics of discussion include: domain name privacy and administration, auto-renewal, domain forwarding, and name server assignment. Section 7: Testing Environment Students are introduced to configuring a local testing server on a PC or MAC system using WAMP (Windows) or MAMP (MAC). The lessons provide a detailed guide on installation of the packages and an overview of the interface. Section 8: Production Environment Students acquire the skills needed to optimally configure a live production environment for securely hosting web applications on a cloud server (Linode). The section starts with an overview of different cloud hosting providers such as Amazon Web Services, Microsoft Azure, Linode and Digital Ocean. We then provide a live demonstration of server setup using Linode. This includes deployment of Ubuntu and installation of LAMP Stack (Linux) on the Linode Server using remote access consoles such as Terminal (MAC) and PuTTY for Windows. Students gain an in-depth knowledge of server maintenance, file and directory commands. We also explore SSH Authentication for multiple users and file permissions to reduce security vulnerabilities. Remote Desktop connections for server administration are taught, using Tight VNC (Windows) and RealVNC (MAC). A thorough overview of the Linode server management console is conducted, to show students how to scale servers, change root passwords, manage the DNS Zone file and create back-ups. Section 9: FTP Setup Students learn the role of an FTP (File Transfer Protocol) client to connect to a remote server, through a local machine. We provide a live demonstration on file upload using FileZilla and explore the FileZilla Interface for connection management. Section 10: HTML Development This section explores HTML. HTML is a key fundamental building block when learning to develop websites. Students initially learn the basics of HTML page structure and gradually transition into working with spacing, text formatting, lists, images, videos, links, anchors, tables, forms and much more. We include several projects, where students are shown first-hand, how to develop and code html web pages from scratch. Section 11: CSS Development Students learn to use CSS to create stylish, responsive web page layouts. We start by discussing the parts and types of CSS rules, followed by CSS classes, DIVS, and ID's. Students gain significant exposure to various formatting options, including margins, padding, font properties, backgrounds, transparency, positioning, link styling and CSS tables. This section includes a hands-on web development project where students utilize the concepts explored in the lesson. Section 12: Document Object Model (DOM) As a precursor to JavaScript, we explore the DOM (Document Object Model). We explain its usage and application in manipulating HTML and CSS elements. Section 13: JavaScript Development We introduce students to JavaScript coding to add interactivity to static HTML and CSS pages. The section starts with discussing JavaScript placement, using both internal and external scripts. We then take a look at JavaScript output, variable declarations, arithmetic operators, objects, strings, math functions, arrays, conditional statements, loops, functions and events. Students also go through two hands-on projects that will further solidify their knowledge of the concepts explored in the lessons. Section 14: JQuery Library We explore the jQuery library and many of its unique features, used to create stunning, animated web pages. We start with the basics, from embedding jQuery into web pages to working with Selectors. Students then explore working with events, toggling, fading, sliding, and other forms of animation. The lessons also teach students how to work with callbacks, chaining, dragables, accordion menus and many other functions. Section 15: Bootstrap Framework Students are taught to use the Bootstrap framework for responsive, mobile-first - front-end development. As one of the leading open-source development libraries, Bootstrap is an essential part of the developers coding arsenal. The section begins with teaching students how to include essential Bootstrap files into web pages. It then explores the Bootstrap Grid system and popular layout strategies for optimal cross-device and cross-browser compatibility. Students gain exposure to just about every Bootstrap component, from typography, tables and images, to jumbotrons, wells, alerts, buttons, glyphicons and progress bars. The section includes several hands-on exercises that will walk students through the process of creating stunning layouts, complete with modals, carousels, popovers, drop-down menus, forms and much more. Section 16: PHP Development Students gain exposure to creating dynamic web applications and functionality using PHP. We start with the basics, including variable declaration and data output. The lessons then transition into working with objects, conditional statements, loops, functions, arrays and form validation. Section 17: MySQL Database Integration Students learn to unleash the true power of web application development with MySQL database integration. We start with the basics from database and table creation, to user management. Next we explore the execution of commonly used SQL statements for database modification and administration. Students are also taught how to create database connections and execute SQL statements from PHP scripts. Section 18, 19 (XML, AJAX, & Development) We explore XML and AJAX integration to create dynamic content, without page refresh. The lessons cover several hands-on training exercises that will encompass many of the exciting functions AJAX offers. Students will build a website complete with database integration, registration forms with server-side validation, user authentication, and a SMTP-based contact submit form. Section 20: Google Apps for Work Students learn to create a customized business email address using Google Apps for Work. Email administration is also explored, along with alias creation. Less
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[100% OFF] Python Ethical Hacking : Build tools for ethical hacking Free

Python is one of the most used programming languag... Moree in the world and its significance can't be ignored. Python has gained immense popularity recently owing to its performance in various fields like machine learning, data science, data analytics and cyber security. This course is designed in python to make ethical hacking easier for students since python is one of the most easy programming languages to learn. The concepts used in this course are fairly simple and anyone with some knowledge of computer science can try this course. In this course we will learn following topics: Introduction to basics of computer networks What is hacking How to stay anonymous Learn how to track IP location Create your own undetectable malware Execute system commands on the victim machine using backdoor Download and upload files to victim machine How to create a Trojan How to steal wifi passwords stored on the PC How to intercept, manipulate and craft network packets How to perform man in the middle attack Crack password protected zipped files Build your own undetectable key logger Create a botnet with a command and control center How to protect yourself online Less
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[100% OFF] React Native and Redux Course using hooks

Take your react js skills to next level by buildin... Moreg Native Android and IOS Apps using React Native Less
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[100% OFF] AWS Certified Solutions Architect Associate Practice Exams Free

This AWS Certified Solutions Architect Associate P... Moreractice Exam Course covers EVERYTHING you need to pass the exam on your first try About this Practice Exam: With the help of this practice exam for the Certification of AWS Certified Solutions Architect - Associate, students will gain the Practice test of SAA-C01. The training test, in view of the real test, includes 390 inquiries. In the genuine test, you will be required to finish these inquiries inside 130 minutes. Skills Measured: Effectively prove information on the most proficient method to deploy and architect robust and secure applications on AWS technologies Explain an answer utilizing engineering structure standards dependent on client prerequisites. Give usage direction dependent on best practices to the association for the duration of the existing pattern of the project This practice exam will prepare you for AWS Certified Solutions Architect - Associate Certification. Abilities Validated by the Certification Effectively demonstrate knowledge of how to architect and deploy secure and robust applications on AWS technologies Define a solution using architectural design principles based on customer requirements Provide implementation guidance based on best practices to the organization throughout the life cycle of the project Recommended Knowledge and Experience Hands-on experience using compute, networking, storage, and database AWS services Hands-on experience with AWS deployment and management services Ability to identify and define technical requirements for an AWS-based application Ability to identify which AWS services meet a given technical requirement Knowledge of recommended best practices for building secure and reliable applications on the AWS platform An understanding of the basic architectural principles of building on the AWS Cloud An understanding of the AWS global infrastructure An understanding of network technologies as they relate to AWS An understanding of security features and tools that AWS provides and how they relate to traditional services Who this course is for: AWS Developers Solutions Architecters Less
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[100% OFF] Apache kafka™ - A Complete Hands-on Kafka Developer's Guide Free

Apache Kafka has become the leading distributed da... Moreta streaming enterprise big data technology. Kafka is used in production by over 33% of the Fortune 500 companies such as Netflix, Airbnb, Uber, Walmart, and LinkedIn. To learn Kafka easily, step-by-step, you have come to the right place! No prior Kafka knowledge is required. If you look at the documentation, you can see that Apache Kafka is not easy to learn... Thanks to my several years of experience in Kafka and Big Data, I wanted to make learning Kafka accessible to everyone. We'll take a step-by-step approach to learn all the fundamentals of Apache Kafka. At the end of this course, you'll be productive and you'll know the following: The Apache Kafka Ecosystem Architecture The Kafka Core Concepts: Topics, Partitions, Brokers, Replicas, Producers, Consumers, and more! Launch your own Kafka cluster in no time using native Kafka binaries – Windows / MacOS X / Linux Learn and Practice using the Kafka Command Line Interface (CLI) Code Producer and Consumers using the Java API Real-world project using Twitter as a source of data for a producer and ElasticSearch as a sink for our consumer Note: The hands-on section is based on Java, which is the native Kafka programming language. But, good news! Your learning in Java will be completely applicable to other programming languages, such as Python, C#, Node.js or Scala, and Big Data frameworks such as Spark, NiFi or Akka. Who this course is for: Developers who want to learn the Apache Kafka Fundamentals, start a cluster and write their first application Architects who want to understand how Apache Kafka fits into their solution architecture Anyone looking to learn the full theory of how Apache Kafka works as a distributed system Less
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[100% OFF] CYBER SECURITY SPECIALIZATION : Part 1 Free

The growth in the technological field is exponenti... Moreal. Day by day, the IT sector is flourishing to a greater extent. With such rapid growth, the need for security is also increasing. People have started becoming concerned about their privacy. Cybersecurity issues are becoming a day-to-day struggle for businesses. Recent trends and cyber security statistics reveal a huge increase in hacked and breached data from sources that are common in the workplace. With these growing trends, every individual must be aware of security and that is why you should go for this course! Most of the people are often confused when they are asked - “WHAT IS CYBER SECURITY?” The most common reply is - “UM, HACKING. ” Well, hacking is part of cyber security but it really doesn’t mean that hacking is the synonym of cyber security. Many courses out there are only focusing on the practical approach of cyber security - HACKING. Well, hacking is not the only domain of cyber security. There are other domains also, for example Incident Response Team, Blue team, Security Audits, IT Security Management, Security laws and many more. In order to start practicing hacking, you should first know the concepts! You should understand how the world is dealing with cyber threats. HACKING is not the only “coolest” thing here. There are other security topics as well. !!!! Hackers attack every 39 seconds, on average 2,244 times a day. !!!! So are you sure that your data is well protected from these hackers? Have you even configured your network to maintain your privacy? Do you know how hackers can gain access to your devices without you even getting notified? Well, don’t worry! We are here to answer these questions. There might be many questions in your mind regarding this course. We will surely address all of them once you enroll for this course, but for the time being, we’ll focus on the following questions: WHY SHOULD I LEARN CYBER SECURITY? Let’s face it. We live in a digital world. Our work lives, personal lives, and finances have all begun gravitating toward the world of the internet, mobile computing, and electronic media. Unfortunately, this widespread phenomenon makes us more vulnerable than ever to malicious attacks, invasions of privacy, fraud, and other such frightening cases. That’s why cyber security is such a vital part of a secure and well-ordered digital world. Cybersecurity keeps us safe from hackers, cyber criminals, and other agents of fraud. But let me ask you a question, HOW GOOD IS YOUR KNOWLEDGE ABOUT CYBER SECURITY? Here are some facts that would blow up your mind! According to Varonis, Worldwide spending on cyber security is forecasted to reach $133.7 billion in 2022. Data breaches exposed 4.1 billion records in the first half of 2019. Symantec says, the top malicious email attachment types are .doc and .dot which make up 37%, the next highest is .exe at 19.5% These are not just facts but they are warnings! Everyone who is accessing a device should be aware of their security and that is why we have designed this course. Okay, here comes the next question. UM, OKAY! BUT WHY SHOULD I ENROLL FOR THIS COURSE? The perfect answer to this question would be - Have a look at our curriculum. THE FUNDAMENTALS OF CYBER SECURITY, is the first part of our CYBER SECURITY SPECIALIZATION. In this course, we have covered right from the basics of computer networking to the advance concepts such as cryptography, security auditing, incident management. Yes, we have actually started from the definition of a Computer Network. Our course is broadly divided into seven sections. In the first section we have covered the basics of networking. We have discussed different protocols and their usage. We have talked about IP addresses and their classes and a lot of things which are important from the point of view of cyber security. Bonus Material - We have included practicals also! From the second section we are actually talking about cyber security. Right from the history of cyber security to different terminologies have been discussed in this section. We have designed the curriculum in such a way that even a novice can understand cyber security and we are so sure that this course would actually give a better idea of cyber security. You will learn about critical thinking and its importance to pursue a career in Cyber security. You will also learn about organizations and resources to further research cyber security issues in the Modern era. This course is intended for anyone who wants to gain a basic understanding of Cyber security or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst. We recommend you to watch our introductory video where we have discussed the entire syllabus :) Have a look at few highlights from our course. Handpicked curriculum, specially designed for all levels of learners. Continuous assessment through challenging quizzes Get your questions answered within 48 hours A variety of resources such as useful links, books, PDFs are also provided Regular updates related to cyber security Exploration of different aspects of Cybersecurity Practicals are also included along with theory You will understand how cryptography works in real life Concepts such as firewalls, antivirus, cyber attacks are also discussed and Many more. We encourage suggestions WHO CAN ENROLL FOR THIS COURSE? This course is not intended for a specific group of people. Anyone who wants to learn about cyber security can enroll for this course. If you already know about security, you can always revisit the ideas and clear your doubts if you have any. We have not only covered the technical topics but also included all the statistics as well. For example we have discussed the scope of cyber security along with the career insights and also the salaries of different job roles in this field. This course will help you to decide whether you want to become a Penetration tester or security auditor or Red Team Specialist. In short, this is the perfect course if you want to kick start your career in cyber security! BOTTOM LINE - Once you move ahead in this course, you will get a clear idea about cyber sec. The way we have put all the things together helps the learner in creating an interest in this field. We would like to assure one thing to you - THIS COURSE WILL LITERALLY TELL YOU EVERYTHING ABOUT CYBER SECURITY. Happy Learning! Less
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[100% OFF] ISTQB Foundation Agile Tester training for 2020 EXAM + QUIZ free

Importance of this course You can go for any co... Moreurse to get training but to practice istqb questions and understand what types of questions are asked by ISTQB from each topic you need this course . ----------------------------------------------------------------------------------------------------------------------------------------------------- ALL-IN-ONE ISTQB foundation level certification course --> Study Lectures + ISTQB PDF + Sample questions (all in one) --> 250+ question and in-depth explanation to each topic . --> Previous years ISTQB questions (ISTQB QUESTION BANK) --> For each topic in ISTQB syllabus there is a lecture and quiz questions for practice --> HD videos - HD Audio (no power point style reading) : Watch the preview lectures to get the feel. ----------------------------------------------------------------------------------------------------------------------------------------------------- MY EXPERIENCE WITH ISTQB/ASTQB (I cleared 6 levels) First of all you need to know that how much ever you read the topic or which ever training course you take at the end you have to attempt the ISTQB "confusing Questions" and select the Best answer. ----------------------------------------------------------------------------------------------------------------------------------------------------- SOLUTION To Select the best options , only reading or going through the Training will not completely help, what will help is PRACTICE. The more you practice ISTQB real Questions, more you will know how you have to read or prepare for the EXAM. Most of the student leave this step and then face problems while Attempting Questions in EXAM. ----------------------------------------------------------------------------------------------------------------------------------------------------- Chapters covered Chapter 1 - Agile Software Development Chapter 2 - Fundamental Agile Testing Chapter 3 - Agile Testing Methods Chapter 4 - Techniques in Agile Projects More then enough to know what type of questions are asked from which chapter by ISTQB ----------------------------------------------------------------------------------------------------------------------------------------------------- ABOUT COURSE This special course is designed for all the students who are writing the ISTQB/ASTQB Agile exam for the first time and don't know what types of questions are asked by the ISTQB. For each ISTQB topic mentioned in ISTQB/ASTQB Syllabus the question are provided which will give you the fair idea what types of question are asked by the ISTQB/ASTQB and how to answer them. This course will give you the in-depth knowledge about types of question asked from each topic. ----------------------------------------------------------------------------------------------------------------------------------------------------- Highlights of the course: Each lecture is mapped with the ISTQB syllabus. Thousands of examples are used in the syllabus to make concept clear. ISTQB Agile official PDF is provided Course contains more than 200 questions. More than 20-Quizs are there to evaluate your preparation from the beginning. Questions are arranged Chapter wise. 2-Latest practice set at the end of the course(not available any where). Answer of the question is available as soon as you attempt the question. Each Chapter has sample questions. Questions are based on latest syllabus. Course contains many practical questions which are difficult to understand in the first attempt. ----------------------------------------------------------------------------------------------------------------------------------------------------- WHY ISTQB MASTER: I am an "International Certified trainer" for below topic along with my authentication no*: 1. Certified ISO-26262 for functional safety testing 2. 87973 Foundation level 3. 108197 Advance level Technical Test Analyst 4. 116388 Advance level Test Analyst 5. 114710 Agile tester Extension 6. 117029 Model based testing (*you can put these no. in respective websites and find my details) ----------------------------------------------------------------------------------------------------------------------------------------------------- BENEFITS: Are you looking for JOB? Do you want to switch to testing job? Preparing for testing interview ? Are you a student / professional who what to make career in Multinational company ? Do you want to understand testing concept from in-n-out ? Then this is the end for your search, we have used our experience to help you with real industry related examples used in fortune 500 companies, which will help you get the in - and - out of testing ----------------------------------------------------------------------------------------------------------------------------------------------------- --------***** This course has everything that is required for the ISTQB AGILE level ******--------- This course is designed around the official Exam Guide of ISTQB AGILE level , weighting the 4 Knowledge Areas appropriately, so you can perform well in ISTQB AGILE Certification Exam with confidence! The course will help you to understand what is the expectation of ISTQB. "This material is not accredited with the ISTQB" ISTQB used here means Indian service test quality board Who this course is for: All you what to write the ISTQN Agile exam Less
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[100% OFF] Home Business Basic Sales & Marketing Tools

Learn About Some Of The Basic Sales & Marketin... Moreg Tools For A Home Business Less
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67 used

[100% OFF] The Complete Ethical Hacking Course! Free

Would you like to get started as an ethical hacker... More? Do you want to become a professional penetration tester? Enroll now in The Complete Ethical Hacking Course and learn how to think like a hacker, and become familiar with the toolkit of a professional pentester. This course covers a wide range of topics relating to network security: Introduction to ethical hacking Reconnaissance Scanning and enumeration Network presence Attacking systems Web hacking Social engineering When you enroll in the course you will immediately receive access to 19+ hours of HD video tutorials, as well as additional supplemental resources for developing the necessary skills to succeed in the field. Learn by doing with demonstrations using popular pentesting tools such as Maltego, FOCA, Recon-ng, Nmap, masscan, tcpdump, Wireshark, Ettercap, Burp Suite, Scapy, Mimikatz, Hashcat, Konboot, Hydra, OWASP, SQLmap, mitmproxy, Skipfish and more! Thank you for taking the time to read this, and we hope to see you in the course! Less
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[100% OFF] Search Engine Optimization for Websites - SEO Basics Free

This course will teach students every thing about ... MoreSEO in 40 minutes and make them perform SEO by using the best practices. What's more this SEO course is built to stand the test of time...keep reading to find out why! "Short and essential" "Really engaging, like the way you explain all the little things, good for us beginners!" "Struggled with these concepts before this course. Thank you for explaining it so simply" "Great course by a great instructor." Who this course is for: Students desiring to learn SEO People who want to perform on their websites to increase traffic Less
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[100% OFF] Learn C# and make a videogame with Unity 2020 Free

Welcome to Learn C# and make a videogame with Unit... Morey 2020 : beginner to pro. If you are here, it is probably because you like video games and want to learn how to make your own video games. In addition, it is likely that you know how to draw pictures, design your own characters, your enemies, animations, scenarios, have thought out game mechanics, ... but you lack one thing: KNOW HOW TO PROGRAM! You don't have to be ashamed. I myself did not create my first video game until I was 23 years old and since then, I had been studying mathematics. No one is born taught and that is why we are here: so that you can learn to make your own video game in Unity with the C# (c sharp) programming language, a simple language that is easy to learn, and that will give you many possibilities to expand your knowledge. In this course, we will start with the basics and fundamentals: programming. Programming is like the language of computers. Right now you and I communicate in a common language: English, which we both understand perfectly and that is why we can be exchanging information: I write and you read. Probably if I were writing this to you in French or German, then you wouldn't even understand what I am telling you, not because it is easier or more difficult, but because I would be using a different language. Computers and mobile devices themselves have their own language, their jargon, their slang. That is where we will begin our learning path together, young Padawan: by learning what a program is, how it manages to communicate with the graphic part, and how we, by pressing an arrow or a button, can make the computer understand what we want to say . We are going to learn together basic programming aspects such as: • Variables and data types • Methods or code snippets • Object and object-oriented programming • Decision operators • Collections, arrays, and object lists • The iteration operators With all this, it will be like the cook who leaves the academy and has been taught to peel, cut, cook, boil, season, season ... food. But even if we know how to fry an egg, we all know that fried eggs made by us, by our mothers, or by our grandmothers do not taste the same. Therefore, once we know the tools and basic principles of programming, we will put them into practice with a real project, our first 2D video game: a 2D platform where the objective will be to dodge enemies while collecting the maximum number of coins. It will be a simple video game but we will see its true potential in everything that can really be done from what we know: • We will learn how to plan the Game Design and to split up the development stages of our video game • We will learn what a prefab is and how they are used to create scenes for a video game • We will create our own menus and the game information HUD • We will learn typical mechanics and gameplay such as infinite scrolling or the physics of a video game And really with all this, believe it or not, you will have made your first video game !!! I would also like you to introduce yourself when you start, say where you come from and what knowledge of video game development you have, and share in the course's forum what type of video game you would like to make. Please refrain from impossibilities like "I want to make a Dark Souls, a Witcher, a Metal Gear" and so on. These games have studies of more than 400 expert developers and we are looking to get started. The goal is for you to make your first video game, and as such, it should be an achievable and easy goal to carry out so you don't get discouraged. Well, I've already warmed up and I'm looking forward to learning C # together and starting to create our videogame in Unity. So don't think twice and sign up now to start your career as a video game developer with Unity 2020 and C #. Less
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[100% OFF] Data Structures and Algorithms in Python Free

Welcome to the Complete Data Structure and Algorit... Morehm in Python Bootcamp, the most modern, and the most complete Data Structure and Algorithm in Python course on the internet. At 33+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Python. You will see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams! Learning Python is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language. We'll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer. After finishing this course, you will be able to: Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges. Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces. Why this course is so special and different from any other resource available online? This course will take you from very beginning to a very complex and advanced topics in understanding Data Structure and Algorithms! You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course. You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft. I cover everything you need to know about technical interview process! So whether you are interested in learning the top programming language in the world in-depth And interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you! And this is what you get by signing up today: Lifetime access to 32+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want All videos are downloadable. Learn wherever you want, even without an internet connection! Friendly and fast support in the course Q&A whenever you have questions or get stuck FULL money back guarantee for 30 days! Who is this course for? Self-taught programmers who have a basic knowledge in Python and want to be professional in Data Structure and Algorithm and begin interviewing in tech positions! As well as students currently studying computer science and want supplementary material on Data Structure and Algorithm and interview preparation for after graduation! As well as professional programmers who need practice for upcoming coding interviews. And finally anybody interested in learning more about data structures and algorithms or the technical interview process! This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structure and Algorithm , increase your earning potential or just want a job with more freedom, this is the right course for you! Less
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[100% OFF] ML for Business Managers: Build Regression model in R Studio Free

You're looking for a complete Linear Regression co... Moreurse that teaches you everything you need to create a Linear Regression model in R, right? You've found the right Linear Regression course! After completing this course you will be able to: · Identify the business problem which can be solved using linear regression technique of Machine Learning. · Create a linear regression model in R and analyze its result. · Confidently practice, discuss and understand Machine Learning concepts A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. How this course will help you? If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular technique of machine learning, which is Linear Regression Why should you choose this course? This course covers all the steps that one should take while solving a business problem through linear regression. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems. Below are the course contents of this course on Linear Regression: · Section 1 - Basics of Statistics This section is divided into five different lectures starting from types of data then types of statistics then graphical representations to describe the data and then a lecture on measures of center like mean median and mode and lastly measures of dispersion like range and standard deviation · Section 2 - R basic This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R. · Section 3 - Introduction to Machine Learning In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model. · Section 4 - Data Preprocessing In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation and correlation. · Section 5 - Regression Model This section starts with simple linear regression and then covers multiple linear regression. We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures. We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results, what are other variations to the ordinary least squared method and how do we finally interpret the result to find out the answer to a business problem. By the end of this course, your confidence in creating a regression model in R will soar. You'll have a thorough understanding of how to use regression modelling to create predictive models and solve business problems. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy ------------ Below is a list of popular FAQs of students who want to start their Machine learning journey- What is Machine Learning? Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. What is the Linear regression technique of Machine learning? Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value. Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x). When there is a single input variable (x), the method is referred to as simple linear regression. When there are multiple input variables, the method is known as multiple linear regression. Why learn Linear regression technique of Machine learning? There are four reasons to learn Linear regression technique of Machine learning: 1. Linear Regression is the most popular machine learning technique 2. Linear Regression has fairly good prediction accuracy 3. Linear Regression is simple to implement and easy to interpret 4. It gives you a firm base to start learning other advanced techniques of Machine Learning How much time does it take to learn Linear regression technique of machine learning? Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression. What are the steps I should follow to be able to build a Machine Learning model? You can divide your learning process into 4 parts: Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part. Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the R environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in R Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture in R where we actually run each query with you. Why use R for data Machine Learning? Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R 1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing. 2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R. 5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Who this course is for: People pursuing a career in data science Working Professionals beginning their Data journey Statisticians needing more practical experience Anyone curious to master Linear Regression from beginner to advanced in short span of time Less
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[100% OFF] Learn Figma for Web Design, User Interface, UI UX in an hour Free

Learn the most important Skill of 2020, Graphic de... Moresign in Figma in just an Hour! Taught by a Professional Web Designer who has his own multiple startups. Figma is the best tool to start your design career and fill your Passion for design. With it you can do UI UX Design, Graphical User Interface, Web Design, Wireframe, User Interface, Icon, Logo design, Graphic Design all in Figma! It is simple to use, is portable, ultra-light, and has amazing features to give your creativity wings! You will know why Figma is much better than other Softwares and why you should be using it to help you become a better designer, SO you keep designing and leave the worries to Figma! Less
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[100% OFF] The Art of Doing: Master Networks and Network Scanning

Go from entering "nmap 192.168.1.0/24" t... Moreo UNDERSTANDING the command Less
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132 used, 66% success rate